Relevant bibliographies by topics / Investment Model

Academic literature on the topic 'Investment Model'

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Published: 4 June 2021
Last updated: 11 September 2023

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Journal articles on the topic "Investment Model"

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Prasetya, Syarief Gerald, and Yustiana Wardhani. "INVESTMENT PROJECTION MODEL IN INDONESIA." Accounting Journal of Binaniaga 3, no. 02 (December 31, 2018): 1. http://dx.doi.org/10.33062/ajb.v3i2.229.

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The achievement of economic activities in a country is measured by the economic development which is the projection of an increasing output as well as the increasing of the revenue to the owner of the production factors. Either Local Investment contribution or Foreign Investment has been an important role to reach the economic development, in order to reach it, the estimation of investment requirement either local investment or foreign one has to be done. This research aims to find out the connection between invesment and economic development, the investment projection model, and the total amount of invesment for the economic development. The research method has applied an explanatory method. The connection between economic development and investment can be analyzed by Capital Output Ratio (COR) concept. Having had the different perspectives of time, it has caused that mostly COR on average has been applied only to measure the productivity of the investment activities at a certain year, however, MCOR is used as the tool to predict the future investment’s requirement and the economic development.Key words: investment, economic development, capital output ratio
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Blahun, Ivan, Lesia Dmytryshyn, and Halyna Leshuk. "Simulative model for evaluation of investment processes in the regions of Ukraine." Investment Management and Financial Innovations 14, no. 3 (November 23, 2017): 322–29. http://dx.doi.org/10.21511/imfi.14(3-2).2017.03.

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To analyze and evaluate the investment processes in the regions of Ukraine, it is suggested to use a simulative model that, unlike existing ones, allows to take into account the influence of macroeconomic factors and to predict the future development of the economic system of the regions taking into account their investment potential. The examination of the assessed simulative models of the investment processes in the regions of Ukraine for adequacy is carried out using the determination coefficient and Fisher’s criterion, by which the influence of the most significant economic variables of social and economic development of the regions on the investments formation is determined. Research of the investments impact on the dynamics of economic systems indicators of the regions has shown that 86% of the constructed models are adequate. The presence of statistically significant estimates of model parameters confirms the effectiveness of the proposed approach for conducting research on the analysis and forecasting of the patterns of significant indicators formation of investment activity at the regional level, as well as their impact on indicators of social and economic development.
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Solonina, Nataliya, Larisa Alekseeva, and Sergei Barykin. "Logistics investment model of project evaluation." MATEC Web of Conferences 265 (2019): 07021. http://dx.doi.org/10.1051/matecconf/201926507021.

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The purpose of the analytical review consists of the comprehensive socio-economic analysis multi-criteria optimization methods of investment project for investment programs. Those are related to the use of economic and statistical information which could be implemented in identification of consistent patterns in the processes of individual phenomena development in society and in the study of the indicators. The results of the scientific research include the effect of individual factors on abovementioned processes. The importance of innovative development is one of the main indicators of investment under uncertainty, taking into account social orientation of investment program planning in companies. Logistics investment model serves for the purpose of investment process simplification on the basis of logistics processes, which take place in contrast to decomposition of functional areas of logistics and assessment of the investments.
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Alagöz, Mehmet, Nihal Yokuş, and Turgut Yokuş. "Photovoltaic solar power plant investment optimization model for economic external balance: Model of Turkey." Energy & Environment 30, no. 3 (October 3, 2018): 522–41. http://dx.doi.org/10.1177/0958305x18802762.

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Through using a linear optimization model that interprets solar energy and current deficit parameters, investment plans were performed for countries which have current deficit problem of energy source. The specifics of the study are due to the linear optimization model, which reveals the current deficit and solar energy together for the investment strategy. While the model is constituted, without affecting the existed current account, some parameters based on such as profit transfers for foreign investments, payments of interest for domestic investments, import rates for photovoltaic solar panels, solar energy electricity production values, electricity demand projection for the future and import resource rates for electricity production. In the framework of these constraints of the model, the effects of solar systems on domestic investment and foreign direct investments on current account balance are analyzed for the period of 2017–2030 in Turkey. In the application of the model in Turkey to reduce the current deficit, this is concluded that the solar energy is a significant opportunity. In addition, the linear optimization model is considered as a reference for countries facing energy-related current deficit problems.
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Tkachova, T. "NEURAL NETWORK MODEL FOR EFFICIENCY OF MANAGEMENT DECISIONS AT A MACHINE-BUILDING ENTERPRISE." Vìsnik Sumsʹkogo deržavnogo unìversitetu, no. 3 (2020): 327–33. http://dx.doi.org/10.21272/1817-9215.2020.3-37.

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An important precondition for the economic development of Ukraine is the inflow of investment capital in the context of market transformations. For its part, it is possible to satiate the economy of the country with investments only in conditions of stable development of this country, because the main condition for the investor is to avoid the capital loss. For this purpose, scientists create rating systems of investment attractiveness, which allow choosing the best investment object. Obviously, it is desirable to take into account the research results of the investment attractiveness of a country, region or industry for a successful investment project. The purpose of article is to analyze the existing methods for determining the investment attractiveness of the economy, develop a rating system of investment attractiveness of a number of the Ukrainian economy sectors and provide recommendations for increasing the investment attractiveness of the sectors of the national economy. It is used the methods and approaches such as analysis, synthesis, dialectical, systemic and comparative methods which allowed to implement the research. In a study it is described a methodology for determining the investment attractiveness of a country, region and industry. The investment attractiveness of the branches of the Ukrainian economy was investigated. The problems were identified and the rating systems of investment attractiveness of the Ukrainian economy branches was compiled. Recommendations for increasing the investment attractiveness of the national economy were given. The research of the investment attractiveness of the economy sectors will identify existing problems in attracting investments and help with their solution. The development of rating systems of investment attractiveness of the Ukrainian economy sectors will help to attract more investments, and investors could choose the best option for investing. The implementation of these recommendations will help to improve the rating of Ukraine's investment attractiveness.
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Saitkamolov, M., Z. Gaibnazarova, and J. Cowie. "MODERN MODEL FOR ASSESSING THE EFFICIENCY OF INVESTMENTS ATTRACTED IN RAILWAY TRANSPORT." Technical science and innovation 2020, no. 1 (March 31, 2020): 34–42. http://dx.doi.org/10.51346/tstu-01.20.1-77-0049.

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The article analyzes the modern model for evaluating the improvement of investment activity efficiency and provides conclusions on the level of development of the current state of railway transport in the Republic of Uzbekistan. The economic effect of intensive investments is the equivalent of the costs and benefits of the difference between the result and the costs of achieving it. The economic efficiency of intensive investments is defined as the ratio of investment costs to achieving a profitable result (economic effect). The indicators characterizing the economic efficiency of intensive investments: the integrated effect, the need for additional financing, the internal rate of return, the intensive return on investment ratio, the intensive return on investment index, the innovation ratio, investment in human resources, and the effectiveness of modern corporate governance. will be included. The multiplier effect in which a set of multipliers reflects changes in production volumes, investments and industry characteristics. Analysis of specific activities shows the impact of growth indicators, given its contribution to the dynamics of the economy. An increase in investment costs will lead to an increase in production and income. This interaction is explained by the multiplier effect. The concept of the multiplier means "multiplier". The essence of the multiplier effect is that an increase in investment will lead to greater growth in national income.
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Al-Darwesh, Hanem Rajab Ibrahem. "The Joint Arabic Investments Role at Aqaba Special Economic Zone: Marsa Zayed as a Model." International Journal of Economics and Finance 9, no. 9 (July 20, 2017): 22. http://dx.doi.org/10.5539/ijef.v9n9p22.

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The study addressed the role of Arabic investments in Aqaba special economic zone (ASEZ), and tried to answer the following questions: are the necessary potentials and features available in (ASEZ) to provide an attractive investment climate for the Arabic investments, what is the level of policies effectiveness for improving the investment climate in (ASEZ) to attract the Arabic investments, what is the level of guarantees effectiveness provided by (ASEZ) to encourage Arabic investments, and what is the level of investment privileges and facilities, related to the investments provided by (ASEZ) to attract the Arab investment to it. Data were collected through one study tool that consisted of 30 paragraphs by using Likert fifth scale. Study importance comes from its benefit to decision makers at (ASEZ) to avoid some of the pitfalls and barriers that face the investment in it, where the descriptive analytical approach was used to calculate the arithmetic means, standard deviations, percentages, and T-test on paragraphs of the questionnaire that was distributed by the simple random survey method. Study results showed the existence of distinctive characteristics within the investment climate at (ASEZ), and also concluded that (ASEZA) plays a big role in attracting Arabic investments to Aqaba, the study in return arrived to the existence of some barriers that limit the Arabic investments attraction to Aqaba, the most important of those are: management problems, multiple decision making parties, bureaucratic, and routine. The study recommended to reformulate operation of the united investment window, in a way that makes it a role model, to repair the internal house of government institutions and agencies dealing with investment, entrepreneurship or projects, and train staffs to facilitate the procedures offers for foreign investors, which encourage them to establish their projects there and improve the image of Jordan as an attractive country for investment and investors.
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Tinguha, Lovely, and Romario Ybanez. "Determinants of Investment Decisions among Retirables: Towards an Investment Planning Model." JPAIR Multidisciplinary Research 51, no. 1 (January 8, 2023): 88–108. http://dx.doi.org/10.7719/jpair.v51i1.218.

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This study is about the determinants of investment decisions among retirables to evaluate their preparedness of retirables in terms of investment before they retire, the perceived factors that influence them to invest, and their knowledge and education in financial management. It also creates an investment planning model that will fit the needs of the individual depending on their income and risk appetite to invest. The study uses a descriptive correlational method, and the results revealed no significant difference between the respondents according to the three determinants (Investment Behavior, Financial Preparedness, and Investment Influencers). Therefore, they do not differ in terms of determinants in making decisions. However, there was a significant relationship between investment determinants of retirables and investment influencers. The correlation of 0.864 between investment determinants and investment influencers for the retirables was highly correlated and statistically significant. The investment determinants influence investment decision-making; thus, it is claimed that determinant factors are extremely important to implement their investment plan for retirement preparedness. Consequently, knowing the investment determinant behavior is the key to practicing Investment planning. It is recommended, therefore, to strengthen the level of financial preparedness and education of employed people at an early age to raise awareness and improve their understanding of financial risks when they are no longer earning (retired) and make necessary investments.
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Kvist, Jon. "The post-crisis European social model: developing or dismantling social investments?" Journal of International and Comparative Social Policy 29, no. 1 (February 2013): 91–107. http://dx.doi.org/10.1080/21699763.2013.809666.

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This paper offers a theoretical and empirical contribution to our understanding of the changing European social models in wake of the economic crisis and the promotion of social investments by the European Commission. Theoretically, the article provides a conceptual framework for comparative macro-analysis of social investments that takes into account how social investment policies and returns vary over the life-course and are interdependent. Empirically, the article uses this conceptual framework to examine whether EU policy strategies and national welfare reforms follow a social investment approach. Analysing developments of social investment strategies and policies in three life-stages, the article finds that many EU strategies embody elements of a social investment strategy whereas the impact of the crisis on the national level differs across countries, life-stages, and policies. In most countries, the overall policy impact of the crisis seems to be small on childcare coverage, large on youth polarization, and to increase retirement ages. The crisis will be felt in years to come with reduced life-income for younger cohorts, lower fertility laying the ground for intergenerational conflicts, and migration of skilled youth implying returns of social investments made in southern parts of Europe benefitting northern parts. That said, the overall evidence points towards social investments taking a larger role in Europe after the crisis. However, the result is unlikely to become a uniform European social investment model as the countries most in need of social investments are also the countries least likely to develop high-quality social investments.
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Brooks, James E., Brian G. Ogolsky, and J. Kale Monk. "Commitment in Interracial Relationships: Dyadic and Longitudinal Tests of the Investment Model." Journal of Family Issues 39, no. 9 (February 27, 2018): 2685–708. http://dx.doi.org/10.1177/0192513x18758343.

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Empirical research to explain why partners in interracial relationships appear to be less committed than partners in intraracial relationships is scarce. The Investment Model has been shown to be a robust predictor of relationship commitment, but has only been applied to interracial relationships on a few occasions. Using a sample of 232 couples ( n = 172 intraracial; n = 60 interracial), we found the Investment Model performs comparatively well in interracial and intraracial relationships. However, there were some differences in the influence of investments on commitment. Investments were associated with concurrent commitment in intraracial but not interracial relationships, and an interdependent version of the Investment Model (Actor–Partner Interdependence Investment Model) fit intraracial relationships better than interracial relationships. The results suggest there are nuances in applying the Investment Model to interracial relationships, but that the model is promising for understanding the commitment of partners who experience marginalization.
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Dissertations / Theses on the topic "Investment Model"

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Saboo, Jai Vardhan. "An investment analysis model using fuzzy set theory." Thesis, Virginia Polytechnic Institute and State University, 1989. http://hdl.handle.net/10919/50087.

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Traditional methods for evaluating investments in state-of-the-art technology are sometimes found lacking in providing equitable recommendations for project selection. The major cause for this is the inability of these methods to handle adequately uncertainty and imprecision, and account for every aspect of the project, economic and non-economic, tangible and intangible. Fuzzy set theory provides an alternative to probability theory for handling uncertainty, while at the same time being able to handle imprecision. It also provides a means of closing the gap between the human thought process and the computer, by enabling the establishment of linguistic quantifiers to describe intangible attributes. Fuzzy set theory has been used successfully in other fields for aiding the decision-making process. The intention of this research has been the application of fuzzy set theory to aid investment decision making. The research has led to the development of a structured model, based on theoretical algorithms developed by Buckley and others. The model looks at a project from three different standpoints- economic, operational, and strategic. It provides recommendations by means of five different values for the project desirability, and results of two sensitivity analyses. The model is tested on a hypothetical case study. The end result is a model that can be used as a basis for promising future development of investment analysis models.
Master of Science
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Cilliers, Johanna Judith. "Investment potential assessment : an analysis model / by Judy Cilliers." Thesis, North-West University, 2004. http://hdl.handle.net/10394/2391.

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Binsaif, Ahmed Abdulaziz O. "Investment banks' business model innovation : evidence from Saudi Arabia." Thesis, University of Exeter, 2017. http://hdl.handle.net/10871/33018.

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The Investment bank industry is considered to be an essential element of not only the financial system but also the whole economy. Understanding multiple business models employed by multi-services industry such Investment bank is a matter of great significance for Investment banks’ executives, regulators and analysts. In 2008 the business model that had been employed by investment banks for almost two decades vanished due to the global financial crisis. Investment banks were forced to change and innovate their traditional business models. This research intends to develop a conceptual framework which helps to realize and study investment banks’ business models with the core components and related activities. Multiple business models mapping for investment banks is developed to give seniors executives core and possible activities and alternatives to innovate and change various business models for different lines including asset management, brokerage, investment banking and custody services. In addition, the business model (innovation) drivers are investigated to empirically explore the most powerful drivers on investment banks’ multiple business models (innovation), potential changes and degree of alteration on its activities for each business line. For these aims, a systematic literature review was carried to synthesise the recent advancements in the business model literature and explore how firms approach business model innovation. As result, a conceptual framework for business model (innovation) was developed, which encompasses four components value proposition, operational value, human capital and financial value. This framework can be utilized by practitioners as a 'navigation map' to determine where and how to change their business models. By using the qualitative methodology through semi-structured interviews with 29 senior executives from 10 fully-licensed investment banks in Saudi Arabia and secondary data including financial statements, annual reports and pillar III disclosures, the empirical study mapped the investment banks’ multiple business models and identified a business model for each business line. Sixteen activities for each business line were determined to provide core and possible activities and alternatives. This research contributes to our understating of managing and innovating multiple business models in the industry when investment banks should run these multiple business models. The Investment banks’ business models are different in terms of business lines, core offerings, clients, key assets, key process, revenue streams and costs structure. Over and above, each line shows diverse business models applied by investment banks. Furthermore, unlike other studies, this research contributed by investigating drivers that force investment banks to change their existing business models, the degree of changes and which activities did investment banks consider when responding to particular drivers. This study found that clients, crisis and economic changes, rivalry, top management and regulations are the five drivers forcing investment banks to not only embark on change events, but also carry out business model changes in most investment banks’ business lines.
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Guirguis, Michel. "A multifactor model of investment trust discounts." Thesis, Bournemouth University, 2005. http://eprints.bournemouth.ac.uk/346/.

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A closed-end fund, known as an investment trust in the UK and closed-end fund in the US, is a collective investment company that invests in shares of other companies. This study attempts to describe and explain the persistence of the excess discount return on UK investment trusts and US closed-end funds. The ability to identify which factors best capture return variation is central to applications of multifactor pricing models. So the main purpose of this thesis is the application of a multifactor risk model that will explain the-existence of the excess discount return. Hence, the title of the thesis: "A Multifactor Model of Investment Trust Discounts. A Comparative Study of UK Investment Trusts and US Closed-End Funds" First, the time-series properties of the closed-end funds' net asset values (NAVs) and discounts are investigated. In terms of normality, we find that the UK and US excess NAV returns and discounts are approximately normally distributed. In addition, through Augmented Dickey-Fuller tests, we find that the UK and US discounts are non-stationary, but the excess discount returns and the excess NAV returns are stationary. In terms of multicollinearity, we find that the independent variables included in our models are not closely correlated, so we do not have problems in using them in the regression models in Chapters 7 and 8. Finally, there are no significant differences in the discount during the month of January and other months. In Chapter 7, we study the importance of management performance in terms of excess NAV returns and discount persistence. We use three approaches: Fama and French's (1993) three-factor model, an extended Fama and French model which incorporates a market timing variable, and a performance persistence model used by Carhart (1997) and Dimson and Minio-Kozerski (2001). On average, the six-factor model developed in the thesis can explain 67% of the variation in the excess discount return in the UK market by taking into consideration the market effect, size, the book-to-market effect, momentum, sentiment and expenses. In contrast, Fama and French's (1993) three-factor and Carhart's (1997) four-factor models explain only 42% of the variation of the excess discount return. Similarly, the six-factor model can explain 66% of the variation in the excess discount return in the US market by taking into consideration the same six independent variables. In contrast, Fama and French's (1993) three-factor model explains 59% of the excess discount return variation and Carhart's (1997) four-factor model explains 65% of the variation.
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Wolff, Janik. "IT-Security Investment Models." Thesis, Växjö University, School of Mathematics and Systems Engineering, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-6390.

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Ercolani, Marco G. "Price uncertainty, investment and consumption." Thesis, University of Essex, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.265023.

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Nguyen, Hong-Oanh. "Business Fixed Investment: Some Theoretical Issues and Applications to U.S. Manufacturing Industries, 1947-1999." Thesis, Griffith University, 2005. http://hdl.handle.net/10072/368107.

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This study seeks to make a contribution toward gaining a greater understanding of investment dynamics. The study has two main objectives: (1) to carry out a theoretical analysis of the dynamic behaviour of investment; and (2) to combine two strands of investment theory, dealing with financial constraints and financial development, and to apply the combined model to industry-level data. The study recognises that the neoclassical model represents a major advance from previous theories of investment, as it provides an explanation of how the desired capital stock is determined within a rigorous net-worth maximisation framework. By incorporating a convex adjustment cost function into that framework, the Q model has even greater theoretical appeal, in that it permits an explicit analysis of investment dynamics. However, the Q model generally does not perform well in empirical studies, due partly to a number of problems related to variable Q itself. To achieve the first objective, the dynamic properties of investment are analysed within the framework of a neoclassical model that, like the Q model, incorporates a convex adjustment cost function. However, rather than proceeding through first-order conditions involving the capital stock and its shadow price variable as in the Q model and many of its variants, this study employs the Euler equation approach to focus directly on the relationship between capital stock and investment, which is found to be characterised by saddle point equilibrium. This means that, following a shock (such as an unexpected cut in interest rates) the system must jump immediately to an appropriate point on the new saddle path associated with the new equilibrium. The study shows that under reasonable assumptions concerning the adjustment cost and production functions, these initial jumps typically involve investment overshooting its steady-state value in the short term. Investment overshooting also implies overshooting by stock prices in financial markets.
Thesis (PhD Doctorate)
Doctor of Philosophy (PhD)
Griffith Business School
Griffith Business School
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曾建堂 and Kin-tong Andrew Tsang. "Macroeconomic model of housing investment in Hong Kong." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2001. http://hub.hku.hk/bib/B4257643X.

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Smith, Shaun. "Combining Markowitz's selection model with different investment styles." Diss., University of Pretoria, 2017. http://hdl.handle.net/2263/64816.

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Portfolio selection has been a well-researched topic since the mid 1950Õs. Researchers such as Harry Markowitz obtained the Noble Prize for his work on portfolio selection. His model, which is underpinned by the concept that the market is efficient, has been the cornerstone of many investment strategies over the years. Recently, however, many authors have claimed that the markets are inefficient, and that one cannot rely on a model that assumes a linear and static relationship between risk and reward, making the Markowitz Portfolio Selection Model (MPSM) obsolete. Literature suggests that much of this inefficiency is created through the use of different styles; that is, styles in which shares are grouped together based on certain fundamental characteristics, to inform the investment strategies of investors. Therefore, this study endeavours to supplement the MPSM with different investment styles. Firstly, testing whether the risk adjustment afforded by the MPSM is positively influenced by the different investment styles. Secondly, to determine which style achieves the highest returns over the selected period. Monthly total return data from the JSE was used and portfolio rebalancing took place every six months for a period of 10 years. The share weightings of the portfolios were informed by risk adjusted style based predicted returns. The performance of these portfolios was subsequently compared. Results indicated that style influenced portfolios outperform the non-style influenced MPSM, with some styles providing greater returns than others over the period selected.
Mini Dissertation (MBA)--University of Pretoria, 2017.
lt2018
Gordon Institute of Business Science (GIBS)
MBA
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Tsang, Kin-tong Andrew. "Macroeconomic model of housing investment in Hong Kong." Click to view the E-thesis via HKUTO, 2001. http://sunzi.lib.hku.hk/hkuto/record/B4257643X.

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Books on the topic "Investment Model"

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Vince, Ralph. The Leverage Space Trading Model. New York: John Wiley & Sons, Ltd., 2009.

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Wallace, Don. Model foreign investment law: With annotations. Washington, D.C: International Law Institute, 1996.

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Li, Qing. An investment-growth asset pricing model. London: Centre for Economic Policy Research, 2001.

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Kelly, Morgan. Quarterly model of investment in Ireland. Dublin, Ireland: Research Dept., Central Bank of Ireland, 1986.

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Planlægningsafdelingen, Denmark Vejdirektoratet, ed. The Danish highway investment evaluation model. Copenhagen, Denmark: Planning Dept., 1992.

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Indah, Suksmaningsih, and Peniwati Kirti, eds. Investment colonial model: Critical analysis on investment law in Indonesia. Jakarta: Institute for Global Justice, 2010.

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Abel, Andrew B. A unified model of investment under uncertainty. Cambridge, Mass: National Bureau of Economic Research, 1993.

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Ingham, Alan. A vintage model of scrapping and investment. Southampton: University of Southampton, Dept. of Economics, 1987.

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MacKellar, Landis. A simulation model of global pension investment. Paris: OECD, 1998.

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Malley, Jim. A prototype macroeconomic model of foreign direct investment. Stirling: University of Stirling, Department of Economics, 1991.

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Book chapters on the topic "Investment Model"

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Coordes, Renke. "Investment Model." In Optimal Thinning within the Faustmann Approach, 35–53. Wiesbaden: Springer Fachmedien Wiesbaden, 2014. http://dx.doi.org/10.1007/978-3-658-06959-9_3.

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Baddeley, M. C. "Jorgenson’s model of investment." In Investment, 57–65. London: Macmillan Education UK, 2003. http://dx.doi.org/10.1007/978-1-4039-1864-2_5.

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Baddeley, M. C. "The limitations of Jorgenson’s model." In Investment, 66–78. London: Macmillan Education UK, 2003. http://dx.doi.org/10.1007/978-1-4039-1864-2_6.

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Agnew, Christopher R., Ezgi Besikci, and Kenneth Tan. "Investment Model Scale." In Encyclopedia of Personality and Individual Differences, 2441–43. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-319-24612-3_43.

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Agnew, Christopher R., Ezgi Besikci, and Kenneth Tan. "Investment Model Scale." In Encyclopedia of Personality and Individual Differences, 1–3. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-28099-8_43-1.

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Powell, Alan A., and Christopher W. Murphy. "Business Fixed Investment." In Inside a Modern Macroeconometric Model, 175–84. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/978-3-642-59069-6_11.

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Baddeley, M. C. "Comparing Jorgenson’s model and accelerator theory: evidence from the UK." In Investment, 139–48. London: Macmillan Education UK, 2003. http://dx.doi.org/10.1007/978-1-4039-1864-2_11.

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de Rambures, Dominique. "Investment in Human Capital." In The China Development Model, 88–102. London: Palgrave Macmillan UK, 2015. http://dx.doi.org/10.1057/9781137465498_6.

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Davis, Steven I. "The Business Model: Products, Clients and Markets." In Investment Banking, 18–45. London: Palgrave Macmillan UK, 2003. http://dx.doi.org/10.1057/9780230001114_3.

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Mishra, Chandra S. "Investment Model: An Overview." In Getting Funded, 3–28. New York: Palgrave Macmillan US, 2015. http://dx.doi.org/10.1057/9781137384508_1.

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Conference papers on the topic "Investment Model"

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Zhang, Fuyang, Yuhan Ma, and Shuhan Yu. "Investment Model Based on LSTM Network Forecasting and Portfolio Investment." In ICEMC 2022: 2022 8th International Conference on E-business and Mobile Commerce. New York, NY, USA: ACM, 2022. http://dx.doi.org/10.1145/3543106.3543126.

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Luino, F., M. Chiarle, G. Nigrelli, A. Agangi, M. Biddoccu, C. G. Cirio, and W. Giulietto. "A model for estimating flood damage in Italy: preliminary results." In ENVIRONMENTAL ECONOMICS AND INVESTMENT ASSESSMENT 2006. Southampton, UK: WIT Press, 2006. http://dx.doi.org/10.2495/eeia060071.

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Huang, Kai, Lili Zhang, Shibiao Zhang, Yixin Xing, and Kai Wang. "Research on distribution network investment path allocation model based on investment demand and investment capacity." In International Conference on Intelligent Systems, Communications, and Computer Networks (ISCCN 2022), edited by Tok Wang Ling. SPIE, 2022. http://dx.doi.org/10.1117/12.2652741.

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Mosoiu, Ovidiu, Catalin Cioaca, and Ion Balaceanu. "USING THE CAPITAL ASSET PRICING MODEL IN INFORMATION SECURITY INVESTMENTS." In eLSE 2018. Carol I National Defence University Publishing House, 2018. http://dx.doi.org/10.12753/2066-026x-18-220.

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Interest in real option theory has intensified over the last decade due to the high uncertainty faced by some private and public organizations when deciding to make a strategic investment (competitive environment) or when faced with an external requirement of the organizational environment (ensuring security standards). Traditional methods of investment analysis define the existence of investment opportunity by net present value (NPV), ignoring the possibility that an investment will start from a certain moment in the future. In this way, it is not possible to capture the phenomenon in dynamics, which leads to limiting the possibility of solving the existing uncertainty over the time regarding the optimal use of resources. The need to optimize managerial strategies and give some flexibility to decision-makers in relation to the changes in the organization's external environment has triggered the real options analysis (ROA). By using ROA, a win-win situation is created in which the available policy options mitigate uncertainty fluctuations of updated net worth (based on new information available) and, at the same time, by applying the best strategy, maximize earnings. Information security systems are designed on a layered architecture and the decision to improve performance on each layer is the responsibility of strategic management. Being a modular system, it is recommended to build the architecture by stages, depending on the value of the assets. Also, the relatively long duration and costs of implementation, limited resources, irreversible character, and project risks determine the value and evaluation of the investment, involving its representation as a combined option associated with a succession of decisions. The proposed model is inspired from the theory of financial and real options, but also from the fuzzy logic. This approach seeks to anchor specific mechanisms for the study of asymmetric risk events in the security market (perfect market assumptions are of course limiting but provide a quick overview, which is essential for the proposed application). Using the capital asset pricing model (CAPM), the return on investments in the security of IT & C systems, by reference to the investment risk as the estimated value, is defined. Investors can take risks that can be broken down into two components: systematic risks and non-systemic risks. Systematic risk refers to the variability of income caused by external factors (macroeconomic conditions), being a measure of the relative market volatility of relative incomes. Unsystematic risk refers to income variability caused by unpredictable factors (mismanagement decisions, abrupt technologies overtaken). The depreciation of security investments is inherent and leads to the dilemma of small and frequent investments or major and rare investments. On this issue, the proposed model can provide solutions to decision-makers. Uncertainty, irreversibility, growth potential and competition are factors that influence the behavior and investment decision. We consider that by using the capital asset pricing model in the security investments associated with eLerning training systems, we can increase the precision of optimal investment in terms of risk and opportunity balancing.
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Kunimitsu, Y. "Pricing for irrigation water on Japanese paddy-fields: applicability of stochastic choice model." In ENVIRONMENTAL ECONOMICS AND INVESTMENT ASSESSMENT 2006. Southampton, UK: WIT Press, 2006. http://dx.doi.org/10.2495/eeia060281.

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Azarenko, V. O., and V. N. Kurdyukov. "MODEL OF TRANSITION TO "GREEN" INVESTMENT." In STATE AND DEVELOPMENT PROSPECTS OF AGRIBUSINESS. DSTU-PRINT, 2020. http://dx.doi.org/10.23947/interagro.2020.1.201-206.

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The article is devoted to the proposal of a model of gradual transition of organizations to "greening" their business. The essence of each step aimed at minimizing resource depletion is reflected. Attention is paid to the elements of the transition strategy to "green" assets. The sources of financing for"green" investments are disclosed, and the structure of the financing transaction is determined.
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Yuan Xiu-e and Yuan Zhen-Zhen. "Innovation project investment risk evaluation model." In 2009 International Conference on Future BioMedical Information Engineering (FBIE). IEEE, 2009. http://dx.doi.org/10.1109/fbie.2009.5405828.

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Wu, Liang-Chuan, and Fang-Ming Liou. "The ERP investment: An evaluation model." In 2010 International Conference on Education and Management Technology (ICEMT). IEEE, 2010. http://dx.doi.org/10.1109/icemt.2010.5657541.

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Steinbach, Michele, and Steve Giles. "A Model for Joint Infrastructure Investment." In AIAA 5th ATIO and16th Lighter-Than-Air Sys Tech. and Balloon Systems Conferences. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2005. http://dx.doi.org/10.2514/6.2005-7309.

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Go, Chang Hua, Fathia Farhana Agusalim, and Wan Nashiha Wan Adenan. "Return on Investment ROI Model for Human Factors Engineering HFE Investment Justification." In SPE International Conference and Exhibition on Health, Safety, Environment, and Sustainability. Society of Petroleum Engineers, 2020. http://dx.doi.org/10.2118/199439-ms.

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Reports on the topic "Investment Model"

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E., Kemp-Benedict. The national bioenergy investment model: Technical documentation. Center for International Forestry Research (CIFOR), 2012. http://dx.doi.org/10.17528/cifor/003774.

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Otey, G. R., C. C. Carson, T. M. Bomber, and J. D. Rogers. A model for laboratory tech transfer investment. Office of Scientific and Technical Information (OSTI), June 1994. http://dx.doi.org/10.2172/10163737.

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Abel, Andrew, and Janice Eberly. A Unified Model of Investment Under Uncertainty. Cambridge, MA: National Bureau of Economic Research, March 1993. http://dx.doi.org/10.3386/w4296.

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Blomstrom, Magnus, and Jian-Ye Wang. Foreign Investment and Technology Transfer: A Simple Model. Cambridge, MA: National Bureau of Economic Research, May 1989. http://dx.doi.org/10.3386/w2958.

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Gonçalves, Andrei, Chen Xue, and Lu Zhang. Does the Investment Model Explain Value and Momentum Simultaneously? Cambridge, MA: National Bureau of Economic Research, October 2017. http://dx.doi.org/10.3386/w23910.

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Gould, Jr, and Burnham S. Defense Logistics Agency Laboratory Testing Return on Investment Model. Fort Belvoir, VA: Defense Technical Information Center, November 1993. http://dx.doi.org/10.21236/ada278724.

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Bai, Hang, Kewei Hou, Howard Kung, and Lu Zhang. The CAPM Strikes Back? An Investment Model with Disasters. Cambridge, MA: National Bureau of Economic Research, March 2015. http://dx.doi.org/10.3386/w21016.

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Rosen, Sherwin, and Robert Topel. A Time-Series Model of Housing Investment in the U.S. Cambridge, MA: National Bureau of Economic Research, January 1986. http://dx.doi.org/10.3386/w1818.

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List, John, and Michael Haigh. Investment under Uncertainty: Testing the Options Model with Professional Traders. Cambridge, MA: National Bureau of Economic Research, May 2010. http://dx.doi.org/10.3386/w16038.

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Bachmann, Ruediger, Ricardo Caballero, and Eduardo M. R. A. Engel. Aggregate Implications of Lumpy Investment: New Evidence and a DSGE Model. Cambridge, MA: National Bureau of Economic Research, June 2006. http://dx.doi.org/10.3386/w12336.

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