Relevant bibliographies by topics / Investment analysis – Mathematical models

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Investment analysis – Mathematical models'

Author: Grafiati
Published: 4 June 2021
Last updated: 29 January 2023

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Journal articles on the topic "Investment analysis – Mathematical models"

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Kekytė, Ieva, and Viktorija Stasytytė. "Comparative Analysis of Investment Decision Models." Mokslas - Lietuvos ateitis 9, no. 2 (June 2, 2017): 197–208. http://dx.doi.org/10.3846/mla.2017.1023.

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Rapid development of financial markets resulted new challenges for both investors and investment issues. This increased demand for innovative, modern investment and portfolio management decisions adequate for market conditions. Financial market receives special attention, creating new models, includes financial risk management and investment decision support systems.Researchers recognize the need to deal with financial problems using models consistent with the reality and based on sophisticated quantitative analysis technique. Thus, role mathematical modeling in finance becomes important. This article deals with various investments decision-making models, which include forecasting, optimization, stochatic processes, artificial intelligence, etc., and become useful tools for investment decisions.
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Hasanov, Niyazi, Tokhtaposha Akbulaeva, Kamal Ahmadov, and Akram Hasanzadeh. "Application of Management Based on Mathematical Models to Solve Investment Strategy Problems." WSEAS TRANSACTIONS ON BUSINESS AND ECONOMICS 19 (May 6, 2022): 1130–39. http://dx.doi.org/10.37394/23207.2022.19.99.

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This article analyzes the emergence of large investment opportunities for the development of different areas of the economy in the context of political and economic changes in a competitive environment of the market economy and its relevance shows itself in the underdevelopment of risk analysis and its experimental methodology with the need to improve quality of investment activity, as well as project decision making, the contradictions between the possibility and impossibility of achieving the planned outcome and application of management based on mathematical models to solve investment strategy problems of firms and companies in this field. Application of management based on mathematical models to solve investment strategy problems, development and intensification of risk analysis theory and specification of strategy for purpose, the introduction of practice to the process of making investment decisions and efficient recommendations were developed and ways to reach the goals were designated for all the activities and measures taken in this direction. The action process is established based on the solution of made decisions and proved its compatibility with the pre-defined trajectory based on strategic opinions and occurrence time of the existing and principally indefinite, mentioned relevant events, the efficiency of application of management based on mathematical models to solve investment strategy problems. Analysis methods have been establishetod to apply management based on mathematical models to solve relevant problems in the market economy and suggestions and recommendations for its practical usage in investment-project activity have proved that economic-mathematical models are efficient tools.
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B. B. Akhmetov, V. A. Lakhno, A. B. Adranova, L. M. Kydyralina, and L. D. Pliska. "ANALYSIS OF MATHEMATICAL MODELS OF INVESTMENT STRATEGIES IN THE UNIVERSITY ON CYBER SECURITY SYSTEMS." BULLETIN 1, no. 383 (February 15, 2020): 128–39. http://dx.doi.org/10.32014/2020.2518-1467.16.

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The article provides an overview and analysis of mathematical models for choosing investment strategies in cybersecurity systems of informatization objects (IO) as a particular example of educational information systems (IS). The purpose of the work is the analysis and comparison of known and new investment models for the IO protection. It is shown that previous researches have often purely economic nature and do not take into account the trends relating to the introduction of innovative information technologies in the control and decision-making procedures of the IO cybersecurity tasks. It is shown that the optimal value of resources allocated for the IO protection and cybersecurity depends not only on the vulnerabilities of IS, but also on the cost of information should be protected. All this makes it relevant to develop new models for the decision-making support on the IO protection and cyber-security investment. The task, in particular, can be solved through the use of new information technologies and computer-based decision support systems (DSS). As a variant, it was proposed to use as a basic mathematical model for DSS the models based on game theory.
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Yarygina, I. Z., V. B. Gisin, and B. A. Putko. "Fractal Asset Pricing Models for Financial Risk Management." Finance: Theory and Practice 23, no. 6 (December 24, 2019): 117–30. http://dx.doi.org/10.26794/2587-5671-2019-23-6-117-130.

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The article presents the analysis findings of the problems and prospects of using the fractal markets theory to mathematically predict the price dynamics of assets as part of a financial risk management strategy. The aim of the article is to find out the features of value of bank assets and to develop recommendations for assessing financial risks based on mathematical methods for forecasting economic processes. Theoretical and empirical research methods were used to achieve the aim. The article reveals the features of mathematical modeling of economic processes related to asset pricing in a volatile market. It was proved that using financial mathematics in banking contributes to the stable development of the economy. Mathematical modeling of the price dynamics of financial assets is based on a substantive hypothesis and supported by an adequate apparatus of fractal pair pricing models in order to reveal specific market relations of business entities. According to the authors, the prospects of using forecast models to minimize the financial risks of derivative financial instruments are positive. The authors concluded that the considered methods contribute to managing financial risks and improving forecasts, including operations with derivatives. Besides, the studied fractal volatility parameters proved the predictive power regarding extreme events in financial markets, such as the bankruptcy of Lehman Brothers investment bank in 2008. The relevance of the article is due to the fact that the favorable investment climate and the use of modern financing methods largely depend on the effective financial risk management.
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Csesznik, Zoltán, Sándor Gáspár, Gergő Thalmeiner, and Zoltán Zéman. "Examining the effectiveness of fundamental analysis in a long-term stock portfolio." Economic Annals-ХХI 190, no. 5-6(2) (July 10, 2021): 119–27. http://dx.doi.org/10.21003/ea.v190-11.

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Over the past decade, a number of modern and sophisticated methods have been developed to optimize the composition of equity portfolios. Most of these methods are based on complex mathematical or financial modelling. Less emphasis has been placed on companies’ internal data, while in recent years external data have become increasingly important. However, for long-term investments, the dominance of external data is not necessarily an efficient way to construct an appropriate portfolio. In this paper, we highlight the phenomenon that complex mathematical models, the based on simpler fundamental indicators can also be an efficient investment tool for in making investment decisions. Our results show that our hypothesis has been confirmed that some basic-based indicators can achieve alpha returns. Our analysis is based on financial reporting data in the form of various financial indicators. We used the S&P500 index as benchmark. A comparative analysis of the stock portfolio created illustrates that basic analysis can be more effective than a chosen market-based stock index. By the end of the period under review, the portfolio based on the selected five core financial indicators had a market capitalization 1.68% higher than the benchmark. The alpha return achieved also demonstrates that even simpler models can be efficient and effective in creating an equity portfolio.
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Ertek, Gurdal, Aysha Al-Kaabi, and Aktham Issa Maghyereh. "Analytical Modeling and Empirical Analysis of Binary Options Strategies." Future Internet 14, no. 7 (July 6, 2022): 208. http://dx.doi.org/10.3390/fi14070208.

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This study analyzes binary option investment strategies by developing mathematical formalism and formulating analytical models. The binary outcome of binary options represents either an increase or a decrease in a parameter, typically an asset or derivative. The investor receives only partial returns if the prediction is correct but loses all the investment otherwise. Mainstream research on binary options aims to develop the best dynamic trading strategies. This study focuses on static tactical easy-to-implement strategies and investigates the performance of such strategies in relation to prediction accuracy, payout percentage, and investment strategy decisions.
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Ustinovichius, Leonas. "DETERMINATION OF EFFICIENCY OF INVESTMENTS IN CONSTRUCTION." International Journal of Strategic Property Management 8, no. 1 (March 31, 2004): 25–43. http://dx.doi.org/10.3846/1648715x.2004.9637505.

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Decision making is associated with ranking problems aimed to obtain a set of preference order of solutions. People can make mistakes choosing the best object for investments. Due to high cost of such mistakes, such a choice should be well founded. A major goal of paper is to develop a theoretical basis for creating a decision support system aimed to increase building construction and reconstruction investment efficiency by applying multiattribute decision making approaches and mathematical modelling. To achieve the goal, the following problems have to be solved: to analyse new models currently used in developing investment strategies in building construction and reconstruction, to make a classification of construction investment projects and to describe the stages of determining the efficiency of construction investments, to create a family of multiattribute decision methods to be used in the analysis of investment projects in building construction and reconstruction, to create multiple attribute decision support system based on the multiattribute methods developed for determining the efficiency of construction and reconstruction investment projects.
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Maslyuk, Iryna, and Hanna Maslyuk. "MODERNIZATION OF THE STAGES OF ECONOMIC AND MATHEMATICAL MODELING OF THE DEVELOPMENT OF COMPONENT INVESTMENT POTENTIAL OF AGRICULTURAL PRODUCTION OF UKRAINE." Scientific bulletin of Polissia, no. 2(23) (2021): 6–15. http://dx.doi.org/10.25140/2410-9576-2021-2(23)-6-15.

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Abstract. The article analyzes the conceptual foundations for modeling the development of the components of the investment potential of agricultural production, which make it possible to comprehensively evaluate the relevant indicators in order to timely determine, for agricultural entities, priority investment-attractive innovative projects for the future development of the production sphere.It also reflects the development of forecasting models among the mathematical and economic apparatus, which are based on the determination of the stochastic relationship between indicators of trend and cluster analysis, methods of non-equilibrium statistical mechanics, models of synergistic and differentiated equations of the logistic type, integral methods, etc. The article develops a classification of criteria for the effectiveness of organizational and economic state regulation of agricultural production.For the analysis of factors, a list of external factors that influence the emergence of structural changes in agricultural production of Ukraine, determining the degree of importance, strength of influence and its direction, based on expert assessment, was formulated. Factors that affect the effectiveness of agricultural production are systematized according to the relevant groups: the level of support through special regimes and mechanisms of taxation, the share of capital investments provided in their total volume to agricultural production, the dynamics of foreign investments, the share of bank loans provided in their total volume.The scientific approach to assessing the effectiveness of state regulation of the development of the investment potential of agricultural production has been improved, based on a combination of deductive and inductive approaches that reflect analytical and synthetic aspects of the analysis and ensure coverage of all aspects of the investment activity of agricultural entities
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Alhabeeb, M. J. "Comparative Analysis of the Traditional Models for Capital Budgeting." International Journal of Marketing Studies 8, no. 6 (November 11, 2016): 16. http://dx.doi.org/10.5539/ijms.v8n6p16.

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<p>Financial decision making for investing firms requires metric tools for comparison and analysis. The managerial choice among many investment alternatives with complex possibilities has made it easier to rely on the now more advanced computer programs of simulation that considers the uncertainty and stochastic changes in the cash flow and risk levels. The major drawback here, especially in the academic world, is the increasing dependency on software and departing from the underlying mathematical reasoning that is most practically fathomed by the manual problem solving. This paper goes back to the tradition on analyzing and comparing the major models of capital budgeting.</p>
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Zotov, Vladimir Mikhailovich. "Investment planning of innovative activity." LAPLAGE EM REVISTA 7, no. 3D (October 13, 2021): 302–7. http://dx.doi.org/10.24115/s2446-6220202173d1721p.302-307.

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The purpose of the study in this case is to develop methods for modeling processes aimed at ensuring investment planning of innovative activities of the enterprise. The methodological basis of the research is the adaptation of technological networks to the methods of financial and resource planning. In parallel, the corresponding mathematical apparatus was developed. It became clear that the activities of the company's department dealing with innovation management have to base on the principles of project management. The research based on the analysis of the process aimed at creating or acquiring an innovation at an enterprise in the context of the resources necessary for the successful implementation of such a process. The result determined and described a mathematical pattern describing the dependence of the probability that a technological operation will be performed successfully on the amount of investment (resources) allocated for this operation. Adjacency matrices became the most appropriate form of representation of models of innovative processes.
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Dissertations / Theses on the topic "Investment analysis – Mathematical models"

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Ipperciel, David. "The performance of some new technical signals for investment timing." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape10/PQDD_0028/NQ50190.pdf.

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Yuksel, Hasan Zafer. "Performance measures: Traditional versus new models." CSUSB ScholarWorks, 2006. https://scholarworks.lib.csusb.edu/etd-project/3086.

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The thesis analyzed the performance of 5,987 mutual funds using a database called Steele Mutual Fund Experts and compared the predicting ability of various measures of performance. The measures discussed in the thesis are Treynor Ratio, Sharpe Ratio, Jensen's Alpha, Graham-Harvey-1 (GH-1), and Graham-Harvey-2 (GH-2). The performance measures are mostly used by professional money managers and scholars for literary purposes.
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Sohn, SugJe. "Modeling and Analysis of Production and Capacity Planning Considering Profits, Throughputs, Cycle Times, and Investment." Diss., Georgia Institute of Technology, 2004. http://hdl.handle.net/1853/5083.

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This research focuses on large-scale manufacturing systems having a number of stations with multiple tools and product types with different and deterministic processing steps. The objective is to determine the production quantities of multiple products and the tool requirements of each station that maximizes net profit while satisfying strategic constraints such as cycle times, required throughputs, and investment. The formulation of the problem, named OptiProfit, is a mixed-integer nonlinear programming (MINLP) with the stochastic issues addressed by mean-value analysis (MVA) and queuing network models. Observing that OptiProfit is an NP-complete, nonconvex, and nonmonotonic problem, the research develops a heuristic method, Differential Coefficient Based Search (DCBS). It also performs an upper-bound analysis and a performance comparison with six variations of Greedy Ascent Procedure (GAP) heuristics and Modified Simulated Annealing (MSA) in a number of randomized cases. An example problem based on a semiconductor manufacturing minifab is modeled as an OptiProfit problem and numerically analyzed. The proposed methodology provides a very good quality solution for the high-level design and operation of manufacturing facilities.
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Dharmawan, Komang School of Mathematics UNSW. "Superreplication method for multi-asset barrier options." Awarded by:University of New South Wales. School of Mathematics, 2005. http://handle.unsw.edu.au/1959.4/30169.

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The aim of this thesis is to study multi-asset barrier options, where the volatilities of the stocks are assumed to define a matrix-valued bounded stochastic process. The bounds on volatilities may represent, for instance, the extreme values of the volatilities of traded options. As the volatilities are not known exactly, the value of the option can not be determined. Nevertheless, it is possible to calculate extreme values. We show that these values correspond to the best and the worst case scenarios of the future volatilities for short positions and long positions in the portfolio of the options. Our main tool is the equivalence of the option pricing and a certain stochastic control problem and the resulting concept of superhedging. This concept has been well known for some time but never applied to barrier options. First, we prove the dynamic programming principle (DPP) for the control problem. Next, using rather standard arguments we derive the Hamilton-Jacobi-Bellman equation for the value function. We show that the value function is a unique viscosity solution of the Hamilton-Jacobi-Bellman equation. Then we define the super price and superhedging strategy for the barrier options and show equivalence with the control problem studied above. The superprice price can be found by solving the nonlinear Hamilton-Jacobi-Equation studied above. It is called sometimes the Black-Scholes-Barenblatt (BSB) equation. This is the Hamilton-Jacobi-Bellman equation of the exit control problem. The sup term in the BSB equation is determined dynamically: it is either the upper bound or the lower bound of the volatility matrix, according to the convexity or concavity of the value function with respect to the stock prices. By utilizing a probabilistic approach, we show that the value function of the exit control problem is continuous. Then, we also obtain bounds for the first derivative of the value function with respect to the space variable. This derivative has an important financial interpretation. Namely, it allows us to define the superhedging strategy. We include an example: pricing and hedging of a single-asset barrier option and its numerical solution using the finite difference method.
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Soucik, Victor. "Finding the true performance of Australian managed funds." Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 2002. https://ro.ecu.edu.au/theses/730.

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When making conclusions about the performance of managed funds, it is critical that the framework in which such performance is measured provides an accurate and unbiased environment. In this thesis I search for true performance of the two major classes of funds- equity as well as fixed interest managed funds. Focusing, first on the former class, I examine five measurement models across three risk-free proxies, nine benchmarks proposed by the extant literature (covering conditional and unconditional as well as single and multi factor definitions) and over three independent periods in an effort to identity (in a consistent setting) the most accurate and least biast methodology. I also use the Australian dataset, which inherently mitigates any data biases that may potentially afflict US studies of these methodologies, since these were developed from the same dataset on which they were later tested. Not finding a pre-existing benchmark that is objective yet informative, I develop an independent model that satisfies these, sourcing from fifteen factor candidates across four categories. I find that teaming up a fund based market factor with well-defined proxies for size, value, momentum and conditional dividend yield provides the optimal benchmark. The latter class comprising fixed-interest managed funds is a segment left largely unexplored in the financial literature and neglected outright in the Australian context. I examine three risk-free proxies, six benchmark classes encompassing twenty-one potential factors, across five models and two independent time frames in an effort to establish the most informative and least biased setting. The task is complicated by two issues - an acute lack of Australian data (demanding additional bootstrap simulations and bridging tests with the US markets) and the need for a two-pass (time-series and cross-sectional) analysis, arising from the different information content benchmarks carry in these two dimensions. My results, consistent across time, show that a correct combination of a bond market variable, a mixture of interest rate factors and economic factors as well as the proxy for movements in the equity markets yield the optimal benchmark. Both fund classes point to Jensen's Alpha as the preferred model, but Treynor and Mazuy's definition of a quadratic measure is adequate if timing-selectivity separation is required. Neither class is significantly sensitive to the choice of risk free proxy featuring in the performance measures.
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Chan, Yin-ting, and 陳燕婷. "Topics on actuarial applications of non-linear time series models." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2005. http://hub.hku.hk/bib/B32002099.

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Chen, Hongqing. "An Empirical Study on the Jump-diffusion Two-beta Asset Pricing Model." PDXScholar, 1996. https://pdxscholar.library.pdx.edu/open_access_etds/1325.

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This dissertation focuses on testing and exploring the usage of the jump-diffusion two-beta asset pricing model. Daily and monthly security returns from both NYSE and AMEX are employed to form various samples for the empirical study. The maximum likelihood estimation is employed to estimate parameters of the jump-diffusion processes. A thorough study on the existence of jump-diffusion processes is carried out with the likelihood ratio test. The probability of existence of the jump process is introduced as an indicator of "switching" between the diffusion process and the jump process. This new empirical method marks a contribution to future studies on the jump-diffusion process. It also makes the jump-diffusion two-beta asset pricing model operational for financial analyses. Hypothesis tests focus on the specifications of the new model as well as the distinction between it and the conventional capital asset pricing model. Both parametric and non-parametric tests are carried out in this study. Comparing with previous models on the risk-return relationship, such as the capital asset pricing model, the arbitrage pricing theory and various multi-factor models, the jump-diffusion two-beta asset pricing model is simple and intuitive. It possesses more explanatory power when the jump process is dominant. This characteristic makes it a better model in explaining the January effect. Extra effort is put in the study of the January Effect due to the importance of the phenomenon. Empirical findings from this study agree with the model in that the systematic risk of an asset is the weighted average of both jump and diffusion betas. It is also found that the systematic risk of the conventional CAPM does not equal the weighted average of jump and diffusion betas.
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Niklewski, Jacek. "Multivariate GARCH and portfolio optimisation : a comparative study of the impact of applying alternative covariance methodologies." Thesis, Coventry University, 2014. http://curve.coventry.ac.uk/open/items/a8d7bf49-198d-49f2-9894-12e22ce2d7f1/1.

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This thesis investigates the impact of applying different covariance modelling techniques on the efficiency of asset portfolio performance. The scope of this thesis is limited to the exploration of theoretical aspects of portfolio optimisation rather than developing a useful tool for portfolio managers. Future work may entail taking the results from this work further and producing a more practical tool from a fund management perspective. The contributions made by this thesis to the knowledge of the subject are that it extends literature by applying a number of different covariance models to a unique dataset that focuses on the 2007 global financial crisis. The thesis also contributes to the literature as the methodology applied also enables a distinction to be made in respect to developed and emerging/frontier regional markets. This has resulted in the following findings: First, it identifies the impact of the 2007–2009 financial crisis on time-varying correlations and volatilities as measured by the dynamic conditional correlation model (Engle 2002). This is examined from the perspective of a United States (US) investor given that the crisis had its origin in the US market. Prima facie evidence is found that economic structural adjustment has resulted in long-term increases in the correlation between the US and other markets. In addition, the magnitude of the increase in correlation is found to be greater in respect to emerging/frontier markets than in respect to developed markets. Second, the long-term impact of the 2007–2009 financial crisis on time-varying correlations and volatilities is further examined by comparing estimates produced by different covariance models. The selected time-varying models (DCC, copula DCC, GO-GARCH: MM, ICA, NLS, ML; EWMA and SMA) produce statistically significantly different correlation and volatility estimates. This finding has potential implication for the estimation of efficient portfolios. Third, the different estimates derived using the selected covariance models are found to have a significant impact on the calculated weights and turnovers of efficient portfolios. Interestingly, however, there was no significant difference between their respective returns. This is the main finding of the thesis, which has potentially very important implications for portfolio management.
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Zhou, Zilin, and 周紫麟. "Properties of analysts' earnings forecasts: the case of Hong Kong litsted local and Chinese companies." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2010. http://hub.hku.hk/bib/B45597467.

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Taniai, Hiroyuki. "Inference for the quantiles of ARCH processes." Doctoral thesis, Universite Libre de Bruxelles, 2009. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/210305.

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Ce travail se compose de trois parties consacrées à différents aspects des modèles ARCH (AutoRegressive Conditionally Heteroskedastic) quantiles. Dans ces modèles, l’hétéroscédasticité conditionnelle est à prendre dans un sens très large, et affecte de fa¸ con potentiellement différenciée tous les quantiles conditionnels (et donc la loi conditionnelle elle-même), et non seulement, comme dans les modèles ARCH classiques, l’échelle conditionnelle.

La première partie étudie les problèmes de Value-at-Risk (VaR) dans les séries financières ainsi modélisées. Les approches traditionnelles présentent une caractéristique discutable, que nous relevons, et à laquelle nous apportons une correction fondée sur les lois résiduelles. Nous pensons que les fondements de cette nouvelle approche sont plus solides, et permettent de prendre en compte le fait que le comportement des processus empiriques résiduels (REP) des processus ARCH, contrairement à celui des REP des processus ARMA, continue à dépendre de certains des paramètres du modèle.

La seconde partie approfondit l’étude générale des processus empiriques résiduels (REP) des processus ARCH dans l’optique de la régression quantile (QR) au sens de Koenker et Bassett (Econometrica 1978). La représentation de Bahadur des estimateurs QR, et dont découle la propriété de tension asymptotique des REP, est établie.

Finalement, dans la troisième partie, nous mettons en évidence la nature semi-paramétrique des modèles ARCH quantiles, et l’invariance, sous l’action de certains groupes de transforma-tions, des sous-modèles obtenus en fixant la valeur des paramètres. Cette structure de groupe permet la construction de méthodes d’inférence invariantes qui, dans l’esprit des résultats de Hallin and Werker (Bernoulli 2003) préservent l’optimalité au sens semi-paramétrique. Ces méthodes sont fondées sur les rangs et les signes résiduels. Nous développons en particulier les R-estimateurs des modèles considérés et étudions leurs performances.
Doctorat en Sciences
info:eu-repo/semantics/nonPublished

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Books on the topic "Investment analysis – Mathematical models"

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Armand, DeFusco Richard, ed. Quantitative investment analysis workbook. 2nd ed. Hoboken, N.J: Wiley, 2007.

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McLeavey, Dennis W., Richard A. DeFusco, Jerald E. Pinto, and David E. Runkle. Quantitative Investment Analysis, Workbook (CFA Institute Investment Series). New York, USA: Wiley, 2007.

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Quantitative analysis for investment management. Upper Saddle River, NJ: Prentice Hall, 1996.

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Young, Rhonda. Multimodal investment choice analysis. [Olympia, Wash.]: Washington State Dept. of Transportation, 2002.

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Danø, Sven. Kapitler om investeringsplanlægning. København: Københavns universitets Økonomiske institut, 1985.

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Minh, Nguyẽ̂n Hò̂ng. Phân tích hiệu quả đà̂u tư. Hà Nội: Nông nghiệp, 1993.

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Yanyang, Yan, ed. Xian dai tou zi xue: Zu he tou zi fen xi yu guan li. Changsha: Hunan ren min chu ban she, 2003.

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Investment science. New York: Oxford University Press, 1998.

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Zamojska, Anna. Efektywność funduszy inwestycyjnych w Polsce: Studium teoretyczno-empiryczne. Warszawa: Wydawnictwo C.H. Beck, 2012.

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J, Fabozzi Frank, ed. The mathematics of financial modeling and investment management. New Jersey: Wiley, 2004.

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Book chapters on the topic "Investment analysis – Mathematical models"

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Bartnik, Ryszard, Zbigniew Buryn, and Anna Hnydiuk-Stefan. "Continuous Time Methodology and Mathematical Models for the Analysis of the Market Value of Thermal Plant and Heat and Power Plant and the Value of the Market Supplied by Them." In Investment Strategy in Heating and CHP, 55–90. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-61024-5_4.

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Bartnik, Ryszard, Zbigniew Buryn, and Anna Hnydiuk-Stefan. "Continuous Time Methodology and Mathematical Model for Analysis of Technical and Economic Effectiveness of Modernizing a Thermal Plant and Combined Heat and Power Plant." In Investment Strategy in Heating and CHP, 33–53. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-61024-5_3.

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Fleming, Wendell H. "Optimal Investment Models and Risk Sensitive Stochastic Control." In Mathematical Finance, 75–88. New York, NY: Springer New York, 1995. http://dx.doi.org/10.1007/978-1-4757-2435-6_6.

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Frauenthal, James C. "Analysis of Age-Structure Models." In Mathematical Ecology, 117–47. Berlin, Heidelberg: Springer Berlin Heidelberg, 1986. http://dx.doi.org/10.1007/978-3-642-69888-0_6.

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Teghem, J., and P. L. Kunsch. "An Interactive Dss for Multiobjective Investment Planning." In Mathematical Models for Decision Support, 123–33. Berlin, Heidelberg: Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/978-3-642-83555-1_6.

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Arkin, Vadim I., and Alexander D. Slastnikov. "Optimal Stopping Problem and Investment Models." In Lecture Notes in Economics and Mathematical Systems, 83–98. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-642-55884-9_5.

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Mutanov, Galimkair. "Mathematical Methods for Making Investment Decisions." In Mathematical Methods and Models in Economic Planning, Management and Budgeting, 195–263. Berlin, Heidelberg: Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-45142-7_6.

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Efendiev, Messoud. "Mathematical Analysis of Vitro Models." In Mathematical Modeling of Mitochondrial Swelling, 55–145. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-99100-9_4.

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Agami Reddy, T. "Mathematical Models and Data Analysis." In Applied Data Analysis and Modeling for Energy Engineers and Scientists, 1–25. Boston, MA: Springer US, 2011. http://dx.doi.org/10.1007/978-1-4419-9613-8_1.

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Guerard, John B. "Regression Analysis and Forecasting Models." In Introduction to Financial Forecasting in Investment Analysis, 19–45. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-5239-3_2.

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Conference papers on the topic "Investment analysis – Mathematical models"

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Chernyatieva, R. R. "Analysis of financial effectiveness of economic-mathematical model of investment projects." In International Conference on Trends of Technologies and Innovations in Economic and Social Studies 2017. Paris, France: Atlantis Press, 2017. http://dx.doi.org/10.2991/ttiess-17.2017.20.

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Varsakelis, Christos, Moritz von Stosch, Sandrine Dessoy, and Alexander Pysik. "A mathematical model of decision making for investment in process modeling & simulation." In INTERNATIONAL CONFERENCE OF NUMERICAL ANALYSIS AND APPLIED MATHEMATICS ICNAAM 2019. AIP Publishing, 2020. http://dx.doi.org/10.1063/5.0026684.

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Malafeyev, Oleg, Anna Romanova, Irina Zaitseva, Anzhelika Baicherova, and Natalya Telnova. "Adaptive mathematical model of investment project of a microfinance company under conditions of incomplete information." In INTERNATIONAL CONFERENCE OF NUMERICAL ANALYSIS AND APPLIED MATHEMATICS ICNAAM 2019. AIP Publishing, 2020. http://dx.doi.org/10.1063/5.0026774.

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Marchev, Jr., Angel, and Angel Marchev. "Computer simulation environment for comparative analysis of models for investment portfolio management." In 39TH INTERNATIONAL CONFERENCE APPLICATIONS OF MATHEMATICS IN ENGINEERING AND ECONOMICS AMEE13. AIP, 2013. http://dx.doi.org/10.1063/1.4854797.

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PODEŠVA, Lukáš, Miloš KOCH, and Jan LUHAN. "INVESTMENT MODELS FOR CYBERSECURITY AND INFORMATION SECURITY OF BUSINESSES – SYSTEMATIC LITERATURE REVIEW." In International Management Conference. Editura ASE, 2022. http://dx.doi.org/10.24818/imc/2021/01.03.

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Science has always been here to respond to present-day problems, to improve people’s lives and push borders of human capabilities. The focus of this paper contributes to the issue of cybersecurity and information security of businesses that has been becoming ever more topical with the development of online technologies. This article analyses current scientific literature that deals with investment models for cybersecurity and information security. Within this systematic literature review, the found models were assessed mostly in terms of the used economic and mathematical methods, and scientific approach. The conclusion presents the main findings, drawbacks and possible directions of further research in the area.
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Медведева, Анастасия, Anastasiya Medvedeva, Анастасия Рыжкова, and Anastasia Ryzhkova. "Econometric analysis of the efficiency of investments in the main capital of the southern federal district." In Mathematics in Economics. AUS PUBLISHERS, 2018. http://dx.doi.org/10.26526/conferencearticle_5c24b1d0845065.42036660.

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The article discusses the phased construction of a regression model for the main sources of financing investments in fixed capital of the Southern Federal District. The authors have compiled an assessment of the significance of the regression model obtained and also analyzed the results in terms of investment returns and effectiveness within the framework of the regional testing
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Tovares, Noah, Jonathan Cagan, and Peter Boatwright. "Capturing Consumer Preference Through Experiential Conjoint Analysis." In ASME 2013 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/detc2013-12549.

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Traditionally, consumer preference is modeled in terms of preference for the aesthetic and functional features of a product. This paper introduces a new means to model consumer preference that allows for the experience of and interaction with a product to account for not only for how a product looks and functions, but also how it feels to use it. Traditional conjoint-based approaches to preference modeling require a user to judge preference for a product based upon a 2D product representation or a feature list. While the aesthetic forms and functional features of a product are certainty important, the decision to buy or not to buy a product often depends on more, namely the experience or feel of use. We introduce the concept of experiential conjoint analysis, a method to mathematically capture preference for a product through experience-based preference judgments. Experience-based preference judgments are made based upon the use, or simulated use, of a product. For many products, creating enough physical prototypes to generate a preference model is cost prohibitive. In this work, virtual reality technologies are used to allow the subjects an interactive, immersive, and realistic product experience, provided at little investment. The results of this work show not only that preference judgments of the interaction of a 3D virtual product representation can be used to generate accurate preference models, but that non-experiential judgments of the same product’s 2D forms lead to the generation of different preference models. Further, the virtual reality experience is found to provide an advantage in the form of confidence, information, and/or realism. Such experiential-based preference models provide previously unavailable design insight with which to inform the design generation process.
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Frolova, Irina Igorevna, Dmitry Olegovich Tailakov, Nikita Konstantinovich Kayurov, Stanislav Anatolyevich Frolov, Denis Nikolaevich Tokarev, Rustam Zakirzhanovich Kurmangaliev, and Vladimir Nikolaevich Ulyanov. "Digital Platform for E&P Assets Business Process Optimization with a Module for Estimation and Optimizing of Portfolio of Investment Projects for Oil and Gas Production. Case Study." In Abu Dhabi International Petroleum Exhibition & Conference. SPE, 2021. http://dx.doi.org/10.2118/208155-ms.

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Abstract Due to increase in cost and complexity of oil and gas production processes it becomes necessary to develop a platform for automated analysis of the main business processes of oil and gas assets for the automatic formation of investment projects portfolios for oil and gas production, taking into account the variability of technical and infrastructural characteristics, the mutual influence of objects and profitability indicators. The paper presents a description of platform prototype designed to form an optimized portfolio of investment projects for oil and gas production. The platform was developed using a process ontology, modern optimization tools and up-to-date techniques. The peculiarity of the proposed platform is in the use of a process ontology, which allows to link the life-time processes of objects with each other and throughout the entire time of asset assessment. The platform makes it easy to operate with real objects and their characteristics. The platform is based on the following models: – simulation model - repeats the business processes of the enterprise, indicating bottlenecks and improvement zones for management, it is a set of direct mathematical problems; – optimization model - creates opportunities for multi-criteria analysis, by eliminating manual processing, for modeling and managing various processes, as well as creating a wide range of development options (geological capabilities, geophysical interpretation, etc.). It is a solution to inverse problems with respect to specified criteria related to economic indicators. This paper shows the effect of implementing software based on the digital twin of enterprise processes, implemented as an integrated platform with the ability to connect specialized programs and simulators (SAP, 1C, IPM GAP, Repos, Eclipse, etc.) To calculate the economic indicators (FCF, NPV, PI, DPP) of individual investment projects and the formation, the possibilities of process optimization were taken into account in order to achieve the target indicators of the enterprise. As a result of the optimization, there is an enumeration of the options according to the algorithm and the selection of the most optimal ones, taking into account a variety of technological, landscape and hydrodynamic characteristics. Thus, a high-quality assessment of investment projects and taking into account a variety of characteristics when forming a portfolio of investment projects when forming a strategy for the development of an oil and gas asset is required. The novelty of the work lies in the developed multi-criteria optimization model. As a result of the performed work, the accuracy of calculations of technical and economic indicators and the optimality of the selected project portfolios for a given target function, taking into account the restrictions, implemented on the basis of digital twins of key business processes of oil and gas enterprises, were confirmed.
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Choroev, Kalybek. "Analysis and Modeling of Uneven Economic Growth of the Regions of the Kyrgyz Republic in the New Conditions." In International Conference on Eurasian Economies. Eurasian Economists Association, 2019. http://dx.doi.org/10.36880/c11.02256.

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During the years of independence, the unevenness (asymmetry) of the economic development of the regions of the Kyrgyz Republic sharply increased, the multiple gap between the regions increased according to the most important indicators of regional production, income level and poverty, the quality of life of the population. Regions of the country vary significantly in size, population size and density, level of economic development, natural and climatic conditions, national and historical features. All this causes significant differences in the needs of budget financing and tax bases of individual regions. Smoothing economic asymmetry is one of the most important issues of public administration. The core of the research toolkit should be the economic and mathematical model of economic growth in the region. In regional studies, the following factors of economic growth can be identified: natural resources; labor resources; main capital; volume of investment. In addition, new methods of overcoming socio-economic asymmetry include working out the mechanism of effective public-private partnership and everywhere to introduce long-term planning for the development of the region's economy. The preservation and development of the country as a state largely depends on the effective regional policy implemented in the country.
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Petrović, Branislav, Milan Gojak, and Đorđe Kozić. "Numerical Analysis of the Influence of Basic Operating Parameters on the Performance Characteristics of Solar-Driven Ejector Cooling." In 51st International HVAC&R Congress and Exhibition. SMEITS, 2020. http://dx.doi.org/10.24094/kghk.020.51.1.129.

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Researchers are becoming growingly interested in the development of solar-driven ejector cooling systems, primarily due to their potential to be used as renewable energy sources. Absorption and adsorption refrigeration systems not only involve considerable investment but are also much less reliable than the ejector refrigeration sys-tems, which do not contain any movable parts. In adition, ejector refrigeration has the advantage of low capital cost, simple design, reliable operation, long lifespan and almost no maintance. The only weakness of this system is the low efficiency and its intolerance to deviations from design operation condition.The paper develops a mathematical mod-el with an algorithm which is based on the laws of thermodynamics and the principles of mass and momentum conser-vation. Based on the obtained model, the influence of temperature on the basic system parameters for two working fluids, R134a and R290, is presented. The working fluid temperature ranges are 80-100°C in the generator, 5-15°C in the evaporator and 33-40°C in the condenser. The important performace indicators are the characteristic ejector area ratio Ar (as a geometrical ejector parameter), ejector entrainment ratio, ejector efficiency and the COP. The results indicate that ejector geometry and working fluid type have a major impact on the ejector cooling system’s performance.
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Reports on the topic "Investment analysis – Mathematical models"

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Shabelnyk, Tetiana V., Serhii V. Krivenko, Nataliia Yu Rotanova, Oksana F. Diachenko, Iryna B. Tymofieieva, and Arnold E. Kiv. Integration of chatbots into the system of professional training of Masters. [б. в.], June 2021. http://dx.doi.org/10.31812/123456789/4439.

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The article presents and describes innovative technologies of training in the professional training of Masters. For high-quality training of students of technical specialties, it becomes necessary to rethink the purpose, results of studying and means of teaching professional disciplines in modern educational conditions. The experience of implementing the chatbot tool in teaching the discipline “Mathematical modeling of socio-economic systems” in the educational and professional program 124 System Analysis is described. The characteristics of the generalized structure of the chatbot information system for investment analysis are presented and given: input information, information processing system, output information, which creates a closed cycle (system) of direct and feedback interaction. The information processing system is represented by accounting and analytical data management blocks. The investment analysis chatbot will help masters of the specialty system analysis to manage the investment process efficiently based on making the right decisions, understanding investment analysis in the extensive structure of financial management and optimizing risks in these systems using a working mobile application. Also, the chatbot will allow you to systematically assess the disadvantages and advantages of investment projects or the direction of activity of a system analyst, while increasing interest in performing practical tasks. A set of software for developing a chatbot integrated into training is installed: Kotlin programming, a library for network interaction Retrofit, receiving and transmitting data, linking processes using the HTTP API. Based on the results of the study, it is noted that the impact of integrating a chatbot into the training of Masters ensures the development of their professional activities, which gives them the opportunity to be competent specialists and contributes to the organization of high-quality training.
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Rector, D. R., C. L. Wheeler, and N. J. Lombardo. COBRA-SFS (Spent Fuel Storage): A thermal-hydraulic analysis computer code: Volume 1, Mathematical models and solution method. Office of Scientific and Technical Information (OSTI), November 1986. http://dx.doi.org/10.2172/6912964.

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Markova, Oksana M., Serhiy O. Semerikov, Andrii M. Striuk, Hanna M. Shalatska, Pavlo P. Nechypurenko, and Vitaliy V. Tron. Implementation of cloud service models in training of future information technology specialists. [б. в.], September 2019. http://dx.doi.org/10.31812/123456789/3270.

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Leading research directions are defined on the basis of self-analysis of the study results on the use of cloud technologies in training by employees of joint research laboratory “Сloud technologies in education” of Kryvyi Rih National University and Institute of Information Technology and Learning Aids of the NAES of Ukraine in 2009-2018: cloud learning technologies, cloud technologies of blended learning, cloud-oriented learning environments, cloud-oriented methodological systems of training, the provision of cloud-based educational services. The ways of implementation SaaS, PaaS, IaaS cloud services models which are appropriate to use in the process of studying the academic disciplines of the cycles of mathematical, natural science and professional and practical training of future specialists in information technology are shown, based on the example of software engineering, computer science and computer engineering. The most significant advantages of using cloud technologies in training of future information technology specialists are definite, namely, the possibility of using modern parallel programming tools as the basis of cloud technologies. Conclusions are drawn; the direction of further research is indicated: designing a cloud-oriented learning environment for future specialists in computer engineering, identifying trends in the development of cloud technologies in the professional training and retraining of information technology specialists, developing a methodology for building the research competencies of future software engineering specialists by using cloud technologies.
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Lovianova, Iryna V., Dmytro Ye Bobyliev, and Aleksandr D. Uchitel. Cloud calculations within the optional course Optimization Problems for 10th-11th graders. [б. в.], September 2019. http://dx.doi.org/10.31812/123456789/3267.

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The article deals with the problem of introducing cloud calculations into 10th-11th graders’ training to solve optimization problems in the context of the STEM-education concept. After analyzing existing programmes of optional courses on optimization problems, the programme of the optional course Optimization Problems has been developed and substantiated implying solution of problems by the cloud environment CoCalc. It is a routine calculating operation and not a mathematical model that is accentuated in the programme. It allows considering more problems which are close to reality without adapting the material while training 10th-11th graders. Besides, the mathematical apparatus of the course which is partially known to students as the knowledge acquired from such mathematics sections as the theory of probability, mathematical statistics, mathematical analysis and linear algebra is enough to master the suggested course. The developed course deals with a whole class of problems of conventional optimization which vary greatly. They can be associated with designing devices and technological processes, distributing limited resources and planning business functioning as well as with everyday problems of people. Devices, processes and situations to which a model of optimization problem is applied are called optimization problems. Optimization methods enable optimal solutions for mathematical models. The developed course is noted for building mathematical models and defining a method to be applied to finding an efficient solution.
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Klymenko, Mykola V., and Andrii M. Striuk. Development of software and hardware complex of GPS-tracking. CEUR Workshop Proceedings, March 2021. http://dx.doi.org/10.31812/123456789/4430.

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The paper considers the typical technical features of GPS-tracking systems and their development, as well as an analysis of existing solutions to the problem. Mathematical models for the operation of hardware and software of this complex have been created. An adaptive user interface has been developed that allows you to use this complex from a smartphone or personal computer. Methods for displaying the distance traveled by a moving object on an electronic map have been developed. Atmega162-16PU microcontroller software for GSM module and GPS receiver control has been developed. A method of data transfer from a GPS tracker to a web server has been developed. Two valid experimental samples of GPS-trackers were made and tested in uncertain conditions. The GPS-tracking software and hardware can be used to monitor the movement of moving objects that are within the coverage of GSM cellular networks.
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Clausen, Jay, Christopher Felt, Michael Musty, Vuong Truong, Susan Frankenstein, Anna Wagner, Rosa Affleck, Steven Peckham, and Christopher Williams. Modernizing environmental signature physics for target detection—Phase 3. Engineer Research and Development Center (U.S.), March 2022. http://dx.doi.org/10.21079/11681/43442.

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The present effort (Phase 3) builds on our previously published prior efforts (Phases 1 and 2), which examined methods of determining the probability of detection and false alarm rates using thermal infrared for buried object detection. Environmental phenomenological effects are often represented in weather forecasts in a relatively coarse, hourly resolution, which introduces concerns such as exclusion or misrepresentation of ephemera or lags in timing when using this data as an input for the Army’s Tactical Assault Kit software system. Additionally, the direct application of observed temperature data with weather model data may not be the best approach because metadata associated with the observations are not included. As a result, there is a need to explore mathematical methods such as Bayesian statistics to incorporate observations into models. To better address this concern, the initial analysis in Phase 2 data is expanded in this report to include (1) multivariate analyses for detecting objects in soil, (2) a moving box analysis of object visibility with alternative methods for converting FLIR radiance values to thermal temperature values, (3) a calibrated thermal model of soil temperature using thermal IR imagery, and (4) a simple classifier method for automating buried object detection.
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Tanny, Josef, Gabriel Katul, Shabtai Cohen, and Meir Teitel. Micrometeorological methods for inferring whole canopy evapotranspiration in large agricultural structures: measurements and modeling. United States Department of Agriculture, October 2015. http://dx.doi.org/10.32747/2015.7594402.bard.

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Original objectives and revisions The original objectives as stated in the approved proposal were: (1) To establish guidelines for the use of micrometeorological techniques as accurate, reliable and low-cost tools for continuous monitoring of whole canopy ET of common crops grown in large agricultural structures. (2) To adapt existing methods for protected cultivation environments. (3) To combine previously derived theoretical models of air flow and scalar fluxes in large agricultural structures (an outcome of our previous BARD project) with ET data derived from application of turbulent transport techniques for different crops and structure types. All the objectives have been successfully addressed. The study was focused on both screenhouses and naturally ventilated greenhouses, and all proposed methods were examined. Background to the topic Our previous BARD project established that the eddy covariance (EC) technique is suitable for whole canopy evapotranspiration measurements in large agricultural screenhouses. Nevertheless, the eddy covariance technique remains difficult to apply in the farm due to costs, operational complexity, and post-processing of data – thereby inviting alternative techniques to be developed. The subject of this project was: 1) the evaluation of four turbulent transport (TT) techniques, namely, Surface Renewal (SR), Flux-Variance (FV), Half-order Time Derivative (HTD) and Bowen Ratio (BR), whose instrumentation needs and operational demands are not as elaborate as the EC, to estimate evapotranspiration within large agricultural structures; and 2) the development of mathematical models able to predict water savings and account for the external environmental conditions, physiological properties of the plant, and structure properties as well as to evaluate the necessary micrometeorological conditions for utilizing the above turbulent transfer methods in such protected environments. Major conclusions and achievements The major conclusions are: (i) the SR and FV techniques were suitable for reliable estimates of ET in shading and insect-proof screenhouses; (ii) The BR technique was reliable in shading screenhouses; (iii) HTD provided reasonable results in the shading and insect proof screenhouses; (iv) Quality control analysis of the EC method showed that conditions in the shading and insect proof screenhouses were reasonable for flux measurements. However, in the plastic covered greenhouse energy balance closure was poor. Therefore, the alternative methods could not be analyzed in the greenhouse; (v) A multi-layered flux footprint model was developed for a ‘generic’ crop canopy situated within a protected environment such as a large screenhouse. The new model accounts for the vertically distributed sources and sinks within the canopy volume as well as for modifications introduced by the screen on the flow field and microenvironment. The effect of the screen on fetch as a function of its relative height above the canopy is then studied for the first time and compared to the case where the screen is absent. The model calculations agreed with field experiments based on EC measurements from two screenhouse experiments. Implications, both scientific and agricultural The study established for the first time, both experimentally and theoretically, the use of four simple TT techniques for ET estimates within large agricultural screenhouses. Such measurements, along with reliable theoretical models, will enable the future development of lowcost ET monitoring system which will be attainable for day-to-day use by growers in improving irrigation management.
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Tucker-Blackmon, Angelicque. Engagement in Engineering Pathways “E-PATH” An Initiative to Retain Non-Traditional Students in Engineering Year Three Summative External Evaluation Report. Innovative Learning Center, LLC, July 2020. http://dx.doi.org/10.52012/tyob9090.

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The summative external evaluation report described the program's impact on faculty and students participating in recitation sessions and active teaching professional development sessions over two years. Student persistence and retention in engineering courses continue to be a challenge in undergraduate education, especially for students underrepresented in engineering disciplines. The program's goal was to use peer-facilitated instruction in core engineering courses known to have high attrition rates to retain underrepresented students, especially women, in engineering to diversify and broaden engineering participation. Knowledge generated around using peer-facilitated instruction at two-year colleges can improve underrepresented students' success and participation in engineering across a broad range of institutions. Students in the program participated in peer-facilitated recitation sessions linked to fundamental engineering courses, such as engineering analysis, statics, and dynamics. These courses have the highest failure rate among women and underrepresented minority students. As a mixed-methods evaluation study, student engagement was measured as students' comfort with asking questions, collaboration with peers, and applying mathematics concepts. SPSS was used to analyze pre-and post-surveys for statistical significance. Qualitative data were collected through classroom observations and focus group sessions with recitation leaders. Semi-structured interviews were conducted with faculty members and students to understand their experiences in the program. Findings revealed that women students had marginalization and intimidation perceptions primarily from courses with significantly more men than women. However, they shared numerous strategies that could support them towards success through the engineering pathway. Women and underrepresented students perceived that they did not have a network of peers and faculty as role models to identify within engineering disciplines. The recitation sessions had a positive social impact on Hispanic women. As opportunities to collaborate increased, Hispanic womens' social engagement was expected to increase. This social engagement level has already been predicted to increase women students' persistence and retention in engineering and result in them not leaving the engineering pathway. An analysis of quantitative survey data from students in the three engineering courses revealed a significant effect of race and ethnicity for comfort in asking questions in class, collaborating with peers outside the classroom, and applying mathematical concepts. Further examination of this effect for comfort with asking questions in class revealed that comfort asking questions was driven by one or two extreme post-test scores of Asian students. A follow-up ANOVA for this item revealed that Asian women reported feeling excluded in the classroom. However, it was difficult to determine whether these differences are stable given the small sample size for students identifying as Asian. Furthermore, gender differences were significant for comfort in communicating with professors and peers. Overall, women reported less comfort communicating with their professors than men. Results from student metrics will inform faculty professional development efforts to increase faculty support and maximize student engagement, persistence, and retention in engineering courses at community colleges. Summative results from this project could inform the national STEM community about recitation support to further improve undergraduate engineering learning and educational research.
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Modlo, Yevhenii O., Serhiy O. Semerikov, Stanislav L. Bondarevskyi, Stanislav T. Tolmachev, Oksana M. Markova, and Pavlo P. Nechypurenko. Methods of using mobile Internet devices in the formation of the general scientific component of bachelor in electromechanics competency in modeling of technical objects. [б. в.], February 2020. http://dx.doi.org/10.31812/123456789/3677.

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An analysis of the experience of professional training bachelors of electromechanics in Ukraine and abroad made it possible to determine that one of the leading trends in its modernization is the synergistic integration of various engineering branches (mechanical, electrical, electronic engineering and automation) in mechatronics for the purpose of design, manufacture, operation and maintenance electromechanical equipment. Teaching mechatronics provides for the meaningful integration of various disciplines of professional and practical training bachelors of electromechanics based on the concept of modeling and technological integration of various organizational forms and teaching methods based on the concept of mobility. Within this approach, the leading learning tools of bachelors of electromechanics are mobile Internet devices (MID) – a multimedia mobile devices that provide wireless access to information and communication Internet services for collecting, organizing, storing, processing, transmitting, presenting all kinds of messages and data. The authors reveals the main possibilities of using MID in learning to ensure equal access to education, personalized learning, instant feedback and evaluating learning outcomes, mobile learning, productive use of time spent in classrooms, creating mobile learning communities, support situated learning, development of continuous seamless learning, ensuring the gap between formal and informal learning, minimize educational disruption in conflict and disaster areas, assist learners with disabilities, improve the quality of the communication and the management of institution, and maximize the cost-efficiency. Bachelor of electromechanics competency in modeling of technical objects is a personal and vocational ability, which includes a system of knowledge, skills, experience in learning and research activities on modeling mechatronic systems and a positive value attitude towards it; bachelor of electromechanics should be ready and able to use methods and software/hardware modeling tools for processes analyzes, systems synthesis, evaluating their reliability and effectiveness for solving practical problems in professional field. The competency structure of the bachelor of electromechanics in the modeling of technical objects is reflected in three groups of competencies: general scientific, general professional and specialized professional. The implementation of the technique of using MID in learning bachelors of electromechanics in modeling of technical objects is the appropriate methodic of using, the component of which is partial methods for using MID in the formation of the general scientific component of the bachelor of electromechanics competency in modeling of technical objects, are disclosed by example academic disciplines “Higher mathematics”, “Computers and programming”, “Engineering mechanics”, “Electrical machines”. The leading tools of formation of the general scientific component of bachelor in electromechanics competency in modeling of technical objects are augmented reality mobile tools (to visualize the objects’ structure and modeling results), mobile computer mathematical systems (universal tools used at all stages of modeling learning), cloud based spreadsheets (as modeling tools) and text editors (to make the program description of model), mobile computer-aided design systems (to create and view the physical properties of models of technical objects) and mobile communication tools (to organize a joint activity in modeling).
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de Caritat, Patrice, Brent McInnes, and Stephen Rowins. Towards a heavy mineral map of the Australian continent: a feasibility study. Geoscience Australia, 2020. http://dx.doi.org/10.11636/record.2020.031.

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Heavy minerals (HMs) are minerals with a specific gravity greater than 2.9 g/cm3. They are commonly highly resistant to physical and chemical weathering, and therefore persist in sediments as lasting indicators of the (former) presence of the rocks they formed in. The presence/absence of certain HMs, their associations with other HMs, their concentration levels, and the geochemical patterns they form in maps or 3D models can be indicative of geological processes that contributed to their formation. Furthermore trace element and isotopic analyses of HMs have been used to vector to mineralisation or constrain timing of geological processes. The positive role of HMs in mineral exploration is well established in other countries, but comparatively little understood in Australia. Here we present the results of a pilot project that was designed to establish, test and assess a workflow to produce a HM map (or atlas of maps) and dataset for Australia. This would represent a critical step in the ability to detect anomalous HM patterns as it would establish the background HM characteristics (i.e., unrelated to mineralisation). Further the extremely rich dataset produced would be a valuable input into any future machine learning/big data-based prospectivity analysis. The pilot project consisted in selecting ten sites from the National Geochemical Survey of Australia (NGSA) and separating and analysing the HM contents from the 75-430 µm grain-size fraction of the top (0-10 cm depth) sediment samples. A workflow was established and tested based on the density separation of the HM-rich phase by combining a shake table and the use of dense liquids. The automated mineralogy quantification was performed on a TESCAN® Integrated Mineral Analyser (TIMA) that identified and mapped thousands of grains in a matter of minutes for each sample. The results indicated that: (1) the NGSA samples are appropriate for HM analysis; (2) over 40 HMs were effectively identified and quantified using TIMA automated quantitative mineralogy; (3) the resultant HMs’ mineralogy is consistent with the samples’ bulk geochemistry and regional geological setting; and (4) the HM makeup of the NGSA samples varied across the country, as shown by the mineral mounts and preliminary maps. Based on these observations, HM mapping of the continent using NGSA samples will likely result in coherent and interpretable geological patterns relating to bedrock lithology, metamorphic grade, degree of alteration and mineralisation. It could assist in geological investigations especially where outcrop is minimal, challenging to correctly attribute due to extensive weathering, or simply difficult to access. It is believed that a continental-scale HM atlas for Australia could assist in derisking mineral exploration and lead to investment, e.g., via tenement uptake, exploration, discovery and ultimately exploitation. As some HMs are hosts for technology critical elements such as rare earth elements, their systematic and internally consistent quantification and mapping could lead to resource discovery essential for a more sustainable, lower-carbon economy.
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You might also be interested in the extended bibliographies on the topic 'Investment analysis – Mathematical models' for particular source types:
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