Relevant bibliographies by topics / Financial evaluation model

Academic literature on the topic 'Financial evaluation model'

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Published: 10 December 2022
Last updated: 29 January 2023

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Journal articles on the topic "Financial evaluation model"

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Pilateris, Peter, and Brenda McCabe. "Contractor financial evaluation model (CFEM)." Canadian Journal of Civil Engineering 30, no. 3 (June 1, 2003): 487–99. http://dx.doi.org/10.1139/l02-098.

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Very little is known about the financial well-being of contractors, in part because they are generally privately held companies. The goals of this work were to develop a model based on data envelopment analysis to assess contractor performance and to use the model to provide a set of financial benchmarks for the industry. As the efficiency score of contractors decreased, the following trends were evident: decreasing current ratio, increasing accounts receivable and payable times, increasing debt to equity, increasing fixed assets to equity, increasing gross profits to sales, increasing administrative expenses to net worth, decreasing net income to sales, and decreasing net income to equity.Key words: DEA, benchmark, efficiency, peer group, DMU, building contractor, heavy civil contractor, specialty contractor, distinct cultural environment, frontier.
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Song, Xiaoli, Xian Wu, Chang Liu, and Huanhuan Yang. "The Order Financing Risk Evaluation under the Financial Supply Chain Model Based on the Logistic Model." Journal of Mathematics 2022 (March 31, 2022): 1–13. http://dx.doi.org/10.1155/2022/1854436.

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Order financing, as an innovative business in the financial supply chain model of banks and other financial institutions, has served more and more small and medium-sized enterprises in recent years, and has also brought new profit points to the financial and logistics industries. Businesses urgently need to carry out relevant risk evaluation research on the risks brought by banks and other financial institutions. Based on this background, this article has carried out relevant research on the construction and evaluation method of the risk evaluation index system of order financing business. Through project research and literature review, the research on the risk evaluation theory and method of order financing carried out by banks and other financial institutions is not perfect. The role-played in order financing and the key risk variables faced by financial institutions, and innovatively proposed an evaluation method based on the logistics model. Based on the analysis of order financing risk factors, and through literature review and expert interviews, an evaluation index system initially constructed from five aspects: financing companies, downstream core companies, logistics companies, supply chain operations and external environment. Through questionnaire surveys and statistical analysis of the survey results, a complete, qualitied the risk evaluation index system for order financing business was finally determined. Taking the order-financing project jointly carried out by commercial banks and logistics companies as an example.
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Alimohammadlou, Moslem, and Abbas Bonyani. "A novel hybrid MCDM model for financial performance evaluation in Iran's food industry." Accounting and Financial Control 1, no. 2 (December 28, 2017): 38–45. http://dx.doi.org/10.21511/afc.01(2).2017.05.

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The use of financial ratios as the necessary information is considered as one of the noticeable issues for researchers to apply quantitative models for evaluating the performance of institutions. The reason for introducing these new approaches is that the financial ratios cannot individually provide a correct and adequate understanding of an institution’s performance. This study sought to propose a model for evaluating and ranking 14 companies which are considered as the largest companies in Iran’s food industry according to the recent report of Industrial Management institute (IMI). To accomplish this, an integrated model composed of Best-Worst method and PROMETHEE II was used. Results of data analysis revealed that in final evaluation, some companies such as NOOSH MAZAN Co., PYAZR AI Co. and PEGAH ESF Co had higher positions compared to the others.
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Li, Ze Hong, and Xiao Dan Zhang. "Model Research on Comprehensive Efficiency Evaluation of Heating Reconstruction Project." Advanced Materials Research 805-806 (September 2013): 1593–97. http://dx.doi.org/10.4028/www.scientific.net/amr.805-806.1593.

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Combined heat and power generation is also called the heating reconstruct project, comprehensive benefit evaluation of heating reconstruction project provide a more scientific basis for project construction and project operation, strengthen scientificalness for decision-making , avoid investing blindly and improve investing returns of the project. To begin with, it is emphasize on the analysis of the project whole, and then established evaluation index system and comprehensive evaluation model based on financial and non-financial data collecting of the project. At the third, evaluating the financial feasibility, project environmental benefit and social benefit evaluation of the heating reconstruction project. Eventually, it comes to a conclusion for a validation of heating reconstruction project feasibility.
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CHANG, Shun-Chiao, and Pei-Hsuan TSAI. "A HYBRID FINANCIAL PERFORMANCE EVALUATION MODEL FOR WEALTH MANAGEMENT BANKS FOLLOWING THE GLOBAL FINANCIAL CRISIS." Technological and Economic Development of Economy 22, no. 1 (July 9, 2015): 21–46. http://dx.doi.org/10.3846/20294913.2014.986771.

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The study constructs a hybrid approach to financial performance evaluation for wealth management (WM) banks affected by the global financial crisis from the middle of 2007 into 2008 utilizing an analytic hierarchy process (AHP) and the VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR). Five aspects of multi-criteria group decision making including service, performance, professionalism, risk control, and consumers’ confidence (SPPRC) reveal that consumers’ confidence, risk control and service are the top three key factors for Taiwan’s seven main WM banks in evaluating the performance of banking managers.
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Xu, Jinghong, Daguang Yang, and Qian Zhang. "System Dynamics Model for Systematic Evaluation of China’s Financial Risk." Scientific Programming 2022 (February 14, 2022): 1–12. http://dx.doi.org/10.1155/2022/1212527.

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Finance is becoming more important in the national economy. Maintaining financial stability is critical not only for the financial industry’s prosperity and development, but also for a country’s political, economic, and social development. This paper will look at the mechanisms that cause systemic risk to develop and evolve, as well as how to measure systemic financial risk in multiple dimensions. To begin, create a system for evaluating financial risk in a systematic manner. Second, using the AHP and CRITIC methods to determine various indicators and market weights, create a systemic financial risk evaluation model based on the system dynamics model, and calculate the system from 2010 to 2019 comprehensive financial risk index. Finally, simulation research is conducted using the system dynamics model of systemic financial risk, and the simulation results are analyzed. The findings show that China’s financial risk has been gradually increasing since 2016, with relatively small fluctuations in risk state.
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Mohammad Salameh, Hussein. "An evaluation of the financial soundness of insurance firms in the Amman Stock Exchange." Insurance Markets and Companies 13, no. 1 (April 5, 2022): 11–20. http://dx.doi.org/10.21511/ins.13(1).2022.02.

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Financial soundness of insurance firms within a country tends to heavily affect its financial environment. This study will further assess the relationship between both factors with the support of a special model to test the financial soundness of insurance companies. The model could be utilized as an indicator of the stabilization of a country’s financial environment; this is done by testing the insurance companies’ falls. The methodology used was discriminant regression on the Amman Stock Exchange (ASE) to test 12 indicators that were derived from six CARMEL model parameters. The six tested parameters were: capital adequacy, asset quality, reinsurance and actuarial issues, management efficiency, earnings and profitability, and liquidity. The results have shown that 10 out of 12 indicators are significant factors. Additionally, the study proved that the CARMEL model is an applicable model to test the financial soundness of ASE insurance companies, the possibility of detecting a deviation between the actual and expected performance was barely minimum. The effect of deviation was present in eight firms out of 19, three of which were affected by the type II error (riskier deviation). The study concluded that the CARMEL model is a significant model, and the insurance firms that follow the Jordan Insurance Federation (JIF) requirements are financially sound.
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Trachenko, M. B., and A. O. Volodina. "Efficiency of multi-factor models for evaluating the yield on financial assets in the Russian stock market." Financial Analytics: Science and Experience 13, no. 2 (May 28, 2020): 147–66. http://dx.doi.org/10.24891/fa.13.2.147.

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Subject. The article addresses the use of multi-factor models, like CAPM model, Fama-French model, Carhart model, for evaluating profitability of financial assets in the Russian economy. Objectives. The purpose is to show the expediency of using multi-factor models for evaluating the profitability of financial assets of Russian companies; identify the most effective models for companies operating in various sectors of economy; make evaluation over different periods of time (two years, one year, half year, quarter, and month). Methods. The study draws on the CAPM model, Fama-French model and Carhart model, and general scientific and statistical methods applied for the analysis of economic processes. Results. We evaluated expected return on financial assets of 41 companies in 5 different areas, i.e. the chemical industry (9 companies), oil and gas sector (9 companies), telecommunications (7 companies), transport (7 companies), and electric energy sector (9 companies) for different time periods. The paper includes estimations of expected yield in portfolios of financial assets by industry and time interval, assesses the effectiveness of multi-factor models, if they are used in the Russian economy, and identifies models, which are most suitable for predicting profitability of financial assets in the context of industry and time period. Conclusions. The Carhart model is the most preferable for evaluation of expected return on financial assets. It is impractical to use multi-factor models for companies operating in the transport and telecommunications industry. The considered models enable to make more accurate short-term forecasts.
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Vinodkumar, Nisa, and Hadeel Khalid AlJasser. "Financial evaluation of Tadawul All Share Index (TASI) listed stocks using Capital Asset Pricing Model." Investment Management and Financial Innovations 17, no. 2 (May 15, 2020): 69–75. http://dx.doi.org/10.21511/imfi.17(2).2020.06.

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The Kingdom of Saudi Arabia is strongly committed to stimulating savings culture in the local community by providing financial literacy in financial planning, investments, and budgeting. Inculcating the savings and investment behavior among the people will help materialize one of the elements of Saudi Vision 2030. Tadawul, being the most liquid stock market in the Middle East and North Africa, offers investors the ability to grow their capital with confidence through facilitating trading in different securities such as equities, debt instruments, and Exchange Traded Funds (ETFs). There is a great scope for investors to invest in the companies listed in Tadawul All Share Index (TASI) due to its strong economic fundamentals. The present study aims to apply the CAPM in Tadawul listed stocks, which will help in understanding the systematic and unsystematic risk associated with stocks, understanding their actual and theoretical return on stocks. The methodology adopted is the analysis of secondary data for all listed stocks in Tadawul using the Bloomberg terminal. The financial valuation includes elements like beta, alpha, correlation and standard deviation, expected return and actual return. The practical value obtained from the study will help investors go for undervalued stocks with lower beta, higher expected annual return, and lower systematic risks. Thus, the result shows the predicting power in KSA market and the scope for long-term investments by the investors to boost their savings and investment behavior and materialize one element of Vision 2030. AcknowledgmentThis research was funded by the Deanship of Scientific Research at Princess Nourah bint Abdulrahman University through the Fast-Track Research Funding Program.
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Kašparovská, Vlasta. "The evaluation of financial analysis in light of the actual requirement on methodology of banking financial performance evaluation." Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis 56, no. 3 (2008): 99–108. http://dx.doi.org/10.11118/actaun200856030099.

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The content of this article is the evaluation of financial analysis in light of the actual requirement on methodology of banking performance. For the evaluation the criteria reflecting the requirements of those current management and also the requirements of the investors in the financial market was chosen.For the evaluation of financial analysis two models of pyramidal analysis indicators of the bank return on average equity (ROAE) are used. The first is Schierenbeck model and the second is Du Pont pyramidal model modified in accordance with the conditions of the banking company. In the context of legislative changes and market conditions it is not optimal to use financial analysis as the only me­tho­do­lo­gy for evaluation of banking performance. In the future it is necessary to see the point of the financial analysis as a resource for a more sophisticated measure of financial performance.
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Dissertations / Theses on the topic "Financial evaluation model"

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Tong, Guoshi. "Essays on forecast evaluation and model estimation in financial markets." Thesis, University of British Columbia, 2015. http://hdl.handle.net/2429/51883.

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This thesis is comprised of three essays. In the first and second essays, I examine the welfare value of return predictors in financial markets when investors possess only limited historical data. The first essay focuses on the US Treasury bond market where time series variation in the expected return is forecastable by yield curve and macroeconomic variables. The second essay shifts attention to the US stock market where cross-sectional variation in the expected return is predictable by the underlying firms' characteristics. Using monthly US data, I estimate the utility benefit of various return predictors in either the bond or stock market through a structural approach of forecast evaluation. I consider both parametric and non-parametric portfolio policies and conduct both unconditional and conditional evaluations. I find that return predictors are generally hard to exploit with limited data. Incorporating return predictors renders the portfolio strategy more sensitive to estimation errors and instability in forecast relations. The resultant negative effect on portfolio returns and welfare is not dominated by the information value of predictors. The third essay discusses the estimation of the Cox-Ingersoll-Ross interest rate model. I propose a new likelihood-based methodology that uses marginal Metropolis Hasting algorithm with particle-filter based simulated-likelihood placed in each of the iterations. The benefit of this Bayesian approach is that it bypasses the need to compute exact likelihood functions, and its validity rests upon a recent development in Bayesian statistical theory. To mitigate the inefficiency in standard bootstrap filters due to peaky measurement density of the CIR model, I design an approximated conditional optimal filter to account for the informativeness of current yields and reduce the variance of particle weights. For typical parameter values, performance is shown to be satisfactory.
Arts, Faculty of
Vancouver School of Economics
Graduate
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Collins, Richard B. "Evaluation of a financial distress model for Department of Defense hardware contractors." Thesis, This resource online, 1992. http://scholar.lib.vt.edu/theses/available/etd-10102009-020236/.

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Lund-Jensen, Kasper. "Essays on forecast evaluation and financial econometrics." Thesis, University of Oxford, 2013. http://ora.ox.ac.uk/objects/uuid:01fb58e7-c857-43ff-998f-7b8e928a49bf.

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This thesis consists of three papers that makes independent contributions to the fields of forecast evaluation and financial econometrics. As such, the papers, chapter 1-3, can be read independently of each other. In Chapter 1, “Inferring an agent’s loss function based on a term structure of forecasts”, we provide conditions for identification, estimation and inference of an agent’s loss function based on an observed term structure of point forecasts. The loss function specification is flexible as we allow the preferences to be both asymmetric and to vary non-linearly across the forecast horizon. In addition, we introduce a novel forecast rationality test based on the estimated loss function. We employ the approach to analyse the U.S. Government’s preferences over budget surplus forecast errors. Interestingly, we find that it is relatively more costly for the government to underestimate the budget surplus and that this asymmetry is stronger at long forecast horizons. In Chapter 2, “Monitoring Systemic Risk”, we define systemic risk as the conditional probability of a systemic banking crisis. This conditional probability is modelled in a fixed effect binary response panel-model framework that allows for cross-sectional dependence (e.g. due to contagion effects). In the empirical application we identify several risk factors and it is shown that the level of systemic risk contains a predictable component which varies through time. Furthermore, we illustrate how the forecasts of systemic risk map into dynamic policy thresholds in this framework. Finally, by conducting a pseudo out-of-sample exercise we find that the systemic risk estimates provided reliable early-warning signals ahead of the recent financial crisis for several economies. Finally, in Chapter 3, “Equity Premium Predictability”, we reassess the evidence of out-of- sample equity premium predictability. The empirical finance literature has identified several financial variables that appear to predict the equity premium in-sample. However, Welch & Goyal (2008) find that none of these variables have any predictive power out-of-sample. We show that the equity premium is predictable out-of-sample once you impose certain shrinkage restrictions on the model parameters. The approach is motivated by the observation that many of the proposed financial variables can be characterised as ’weak predictors’ and this suggest that a James-Stein type estimator will provide a substantial risk reduction. The out-of-sample explanatory power is small, but we show that it is, in fact, economically meaningful to an investor with time-invariant risk aversion. Using a shrinkage decomposition we also show that standard combination forecast techniques tends to ’overshrink’ the model parameters leading to suboptimal model forecasts.
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Alpsten, Edward, Henrik Holm, and Sebastian Ståhl. "Evaluation and optimization of an equity screening model." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-244761.

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Screening models are tools for predicting which stock are the most likely to perform well on a stock market. They do so by examining the financial ratios of the companies behind the stock. The ratios examined by the model are chosen according to the personal preferences of the particular investor. Furthermore, an investor can apply different weights to the different parameters they choose to consider, according to the importance they apply to each included parameter. In this thesis, it is investigated whether a screening model can beat the market average in the long term. It is also explored whether parameter-weight-optimization in the context of equity trading can be used to improve an already existing screening model. More specifically, a starting point is set in a screening model currently in use at a successful asset management firm, through data analysis and an optimization algorithm, it is then examined whether a programmatic approach can identify ways to improve the original screening model by adjusting the parameters it looks at as well as the weights assigned to each parameter. The data set used in the model contains daily price data and annual data on financial ratios for all stocks on the Stockholm Stock Exchange as well as the NASDAQ-100 over the time period 2004-2018. The results indicate that it is possible to beat the market average in the long term. Results further show that a programmatic approach is suitable for optimizing screening models.
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Dumitrescu, Elena. "Econometric Methods for Financial Crises." Thesis, Orléans, 2012. http://www.theses.fr/2012ORLE0502/document.

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Connus sous le nom de Systèmes d’Alerte Avancés, ou Early Warning Systems (EWS), les modèles de prévision des crises financières sont appelés à jouer un rôle déterminant dans l’orientation des politiques économiques tant au niveau microéconomique qu’au niveau macroéconomique et international. Or,dans le sillage de la crise financière mondiale, des questions majeures se posent sur leur réelle capacité prédictive. Deux principales problématiques émergent dans le cadre de cette littérature : comment évaluer les capacités prédictives des EWS et comment les améliorer ?Cette thèse d’économétrie appliquée vise à proposer (i) une méthode d’évaluation systématique des capacités prédictives des EWS et (ii) de nouvelles spécifications d’EWS visant à améliorer leurs performances. Ce travail comporte quatre chapitres. Le premier propose un test original d’évaluation des prévisions par intervalles de confiance fondé sur l’hypothèse de distribution binomiale du processus de violations. Le deuxième chapitre propose une stratégie d’évaluation économétrique des capacités prédictives des EWS. Nous montrons que cette évaluation doit être fondée sur la détermination d’un seuil optimal sur les probabilités prévues d’apparition des crises ainsi que sur la comparaison des modèles.Le troisième chapitre révèle que la dynamique des crises (la persistance) est un élément essentiel de la spécification économétrique des EWS. Les résultats montrent en particulier que les modèles de type logit dynamiques présentent de bien meilleurs capacités prédictives que les modèles statiques et que les modèles de type Markoviens. Enfin, dans le quatrième chapitre nous proposons un modèle original de type probit dynamique multivarié qui permet d’analyser les schémas de causalité intervenant entre différents types crises (bancaires, de change et de dette). L’illustration empirique montre clairement que le passage à une modélisation trivariée améliore sensiblement les prévisions pour les pays qui connaissent les trois types de crises
Known as Early Warning Systems (EWS), financial crises forecasting models play a key role in definingeconomic policies at microeconomic, macroeconomic and international level. However, in the wake ofthe global financial crisis, numerous questions with respect to their forecasting abilities have been raised,as very few signals were drawn prior to the starting of the turmoil. Two questions arise in this context:how to evaluate EWS forecasting abilities and how to improve them?The broad goal of this applied econometrics dissertation is hence (i) to propose a systematic model-free evaluation methodology for the forecasting abilities of EWS as well as (ii) to introduce new EWSspecifications with improved out-of-sample performance. This work has been concretized in four chapters.The first chapter introduces a new approach to evaluate interval forecasts which relies on the binomialdistributional assumption of the violations series. The second chapter proposes an econometric evaluationmethodology of the forecasting abilities of an EWS. We show that adequate evaluation must take intoaccount the cut-off both in the optimal crisis forecast step and in the model comparison step. The thirdchapter points out that crisis dynamics (persistence) is essential for the econometric specification of anEWS. Indeed, dynamic logit models lead to better out-of-sample forecasting probabilities than those oftheir main competitors (static model and Markov-switching one). Finally, a multivariate dynamic probitEWS is proposed in the fourth chapter to take into account the causality between different types of crises(banking, currency, sovereign debt). The empirical application shows that the trivariate model improvesforecasts for countries that underwent the three types of crises
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Straňanek, Juraj. "Evaluation of the Financial Situation of a Company and Proposals for Improvement." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2016. http://www.nusl.cz/ntk/nusl-255763.

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Lefley, Frank. "The development of the financial appraisal profile model and its application in the evaluation of capital projects." Thesis, Royal Holloway, University of London, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.405172.

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Almamy, Jeehan. "An evaluation of Altman's Z score using cash flow ratio as analytical tool to predict corporate failure amid the recent financial crisis in the UK." Thesis, Brunel University, 2016. http://bura.brunel.ac.uk/handle/2438/13735.

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One of the most important threats for many firms today, despite their nature of the operation, size and longevity, is insolvency. Existing empirical evidence has shown that in the past two decades, business failures have occurred at a higher rate than any time since the 1930s. Many business failure studies have been conducted over time using financial ratios as inputs and traditional statistical techniques. Some of these studies examined whether cash flow information improves the prediction of business failure. Most recently, researchers have employed discriminant analysis to perform business failure prediction. The recent changes in the world caused by unstable environments where many firms fail more than ever, there is increasing need to predict business failure. To this date, there have been limited previous studies conducted on failure prediction for UK firms. Even in other countries, there has been a small amount of research done in the field of firm failures. Therefore, this study investigates the extension of Altman’s (1968) original model in predicting the health of UK firms using discriminant analysis and performance ratios to test which ratios are statistically significant in predicting the health of the UK firms .a selected sample containing 90 failed and 1000 non failed on UK industrial firms from 2000 – 2013. The main purpose of this study is to contribute towards Altman’s (1968) original Z-score model by adding new variables (Cash flow ratio). The study found that cash flow, when combined with Altman’s original variables is highly significant in predicting the health of UK general firms. A J-UK model was developed to test the health of UK firms. When compared with the re-estimated the Altman’s original model in the UK context, the predictive power of the model was 82.9%, which is consistent with Taffler’s (1982) UK model. Furthermore, to test the predictive power of the model before, during and after the financial crisis periods; results show that J-UK model had a higher accuracy to predict the health of UK firms than the re-estimated Altman’s original model. Finally, the study proves that liquidity, profitability, leverage and capital turnover ratios are significant ratios in predicting failure. Liquidity and profitability have the highest contribution to the results of both re-estimated Altman’s original model and J-UK model. This study has implications for decision makers. Regulatory bodies and practitioners have to take into account the ratios, which contributed highest to the model in order to serve as early warning signals for corrective action.
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Trönnberg, Filip. "Empirical evaluation of a Markovian model in a limit order market." Thesis, Uppsala universitet, Matematiska institutionen, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-176726.

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A stochastic model for the dynamics of a limit order book is evaluated and tested on empirical data. Arrival of limit, market and cancellation orders are described in terms of a Markovian queuing system with exponentially distributed occurrences. In this model, several key quantities can be analytically calculated, such as the distribution of times between price moves, price volatility and the probability of an upward price move, all conditional on the state of the order book. We show that the exponential distribution poorly fits the occurrences of order book events and further show that little resemblance exists between the analytical formulas in this model and the empirical data. The log-normal and Weibull distribution are suggested as replacements as they appear to fit the empirical data better.
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Kundrátek, Jan. "Hodnocení výkonnosti společnosti Kunst, spol. s r.o. s využitím Balanced Scorecard." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2015. http://www.nusl.cz/ntk/nusl-225109.

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This thesis deals with the company's performance, its measurement and increase. The theoretical section provides insights from literature and further on this base an analytic and proposal part follows. The analytical part contains particularly introduction of the company, its activities and strategic and financial analysis of the company. The proposal part deals with the implementation of the Balanced Scorecard in the analysed company.
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Books on the topic "Financial evaluation model"

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Townsend, Robert M. Financial deepening, inequality, and growth: A model-based quantitative evaluation. Washington, D.C: International Monetary Fund, Research Department, 2003.

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Townsend, Robert. Evaluation of financial liberalization: A general equilibrium model with constrained occupation choice. Washington, D.C: World Bank, 2003.

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Washington (State). Toxics Cleanup Program. Model Toxics Control Act remedial action grants: Alternative financing evaluation. Olympia, Wash: Toxics Cleanup Program, 2010.

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Lo, Andrew W. Data-snooping biases in tests of financial asset pricing models. Cambridge, MA: National Bureau of Economic Research, 1989.

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Ranciere, Romain. Crises and growth: A re-evaluation. Cambridge, Mass: National Bureau of Economic Research, 2003.

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Pukhan ŭi sijang kyŏngje model chʻatki: Chungguk kwa Pukhan ŭi kŭmnyung kaehyŏk. Sŏul-si: Samsŏng Kyŏngje Yŏnʼguso, 2006.

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Mischenko, Aleksandr, Anna Pilyugina, Niyaz Abdikeev, and Irina Omel'chenko. Methods of financial planning and evaluation of the effectiveness of management of production and financial activities of the enterprise. ru: INFRA-M Academic Publishing LLC., 2022. http://dx.doi.org/10.12737/1875454.

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The monograph considers a set of models of financial planning and evaluation of the effectiveness of management of production and financial activities of the enterprise, which allows to obtain modeling results in conditions of various initial data. Methodological approaches to the construction of performance management systems on key aspects of the operational, financial and investment activities of the enterprise are presented. The possibility of applying in practice models of production and economic optimization in conditions of increasing credit and investment activity is shown. It is designed for students, postgraduates and teachers of economic training areas, as well as for economists, managers and managers of enterprises.
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Rambaldi, Alicia. The use of multidimensional models in evaluating the financial performance of agricultural cooperatives. [ ]: Dept. of Agricultural Economics and Agribusiness, Louisiana Agricultural Experiment Station, Louisiana State University Agricultural Center, 1990.

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Jin, Ginger Zhe. The power of information: How do U.S. news rankings affect the financial resources of public colleges? Cambridge, Mass: National Bureau of Economic Research, 2007.

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Parienté, Simon. Techniques financières d'évaluation. Paris: Economica, 1995.

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Book chapters on the topic "Financial evaluation model"

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Kijima, Masaaki, and Yukio Muromachi. "On the Risk Evaluation Method Based on the Market Model." In Nonlinear Economic Dynamics and Financial Modelling, 253–73. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-07470-2_15.

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He, Ying, Jiao Dong, and Ruihua Bai. "The Evaluation Model of Financial Competitiveness in Telecom Enterprises." In Communications in Computer and Information Science, 24–32. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23020-2_4.

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de Conti, Bruno, Vladimir Gisin, and Irina Yarygina. "Dynamic Fractal Asset Pricing Model for Financial Risk Evaluation." In Advanced Studies in Emerging Markets Finance, 355–67. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-69748-8_17.

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Goryacheva, Tatyana V., Ekaterina A. Lapteva, Arkadiy P. Plotnikov, Irina N. Pchelintseva, and Lyudmila V. Slavnetskova. "The Model of Component Evaluation of Company’s Innovational Potential." In The Future of the Global Financial System: Downfall or Harmony, 1113–23. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-00102-5_117.

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Chang, Xiaomei. "The Evaluation Model of Construction Industry Financial Risk Based on SVM." In Proceedings of The Eighth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA), 2013, 37–44. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-37502-6_5.

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Qian, Shenghua. "Construction of Financial Credit Risk Evaluation System Model Based on Analytic Hierarchy Process." In Cyber Security Intelligence and Analytics, 488–96. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-96908-0_61.

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Shen, Kao-Yi, Hiroshi Sakai, and Gwo-Hshiung Tzeng. "Multi-graded Hybrid MRDM Model for Assisting Financial Performance Evaluation Decisions: A Preliminary Work." In Rough Sets, 439–53. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-22815-6_34.

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Shi, Yanli, Xiang Xie, and Zhongliang Guan. "Research on Risk Evaluation Model and Risk Prevention of Banks Participating in the Logistics Financial." In LISS 2013, 117–22. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-40660-7_16.

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Fai, Liew Kah, Lam Weng Siew, and Lam Weng Hoe. "Evaluation of the Financial Distress Level of Construction Companies in Malaysia Using Z-score Model." In Lecture Notes in Electrical Engineering, 101–10. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-8515-6_9.

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Yi, Qu, Zhong Shen, and Du Lei. "Research on Evaluation of Operation Management Efficiency of Listed Companies in China’s Financial Trust Industry Based on SFA Model." In Application of Intelligent Systems in Multi-modal Information Analytics, 982–89. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-15740-1_127.

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Conference papers on the topic "Financial evaluation model"

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Albaar, Muhammad Ridha, and Maria Paristiowati. "Kirkpatrick’s Model for Evaluation of Financial Management Training." In 5th International Conference on Food, Agriculture and Natural Resources (FANRes 2019). Paris, France: Atlantis Press, 2020. http://dx.doi.org/10.2991/aer.k.200325.071.

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Hu, Shuyu, and Ming Huang. "Evaluation Model and Algorithm Based on Financial Data." In AIAM2021: 2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3495018.3495370.

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Cheng, Guo. "Financial Evaluation Model and Algorithm Based on Data Mining." In ICASIT 2021: 2021 International Conference on Aviation Safety and Information Technology. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3510858.3510914.

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Gao, Hongjun, Yunfeng Song, and Wei Liao. "Fuzzy Comprehensive Evaluation Model on University Teaching Quality." In 2009 International Conference on Business Intelligence and Financial Engineering (BIFE). IEEE, 2009. http://dx.doi.org/10.1109/bife.2009.199.

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Li, Xiongyi, Hui Liu, and Hualing Liu. "Evaluation Model for Financial Information Service Capacity Based on Fuzzy Comprehensive Evaluation." In 2011 International Conference on Business Computing and Global Informatization (BCGIn). IEEE, 2011. http://dx.doi.org/10.1109/bcgin.2011.81.

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Li, Wane, Xie Xiang, and Zhang Jing. "Research on Evaluation System of financial accounting information system of group company." In 2020 2nd International Conference on Economic Management and Model Engineering (ICEMME). IEEE, 2020. http://dx.doi.org/10.1109/icemme51517.2020.00018.

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Zhang, Yidi. "Study on the Evaluation and Control of Financial Risk in Chinese Steel Enterprises." In 2019 International Conference on Economic Management and Model Engineering (ICEMME). IEEE, 2019. http://dx.doi.org/10.1109/icemme49371.2019.00089.

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"Consumer Credit Evaluation Model in Tmall Using SVM Method." In 2017 International Conference on Financial Management, Education and Social Science. Francis Academic Press, 2017. http://dx.doi.org/10.25236/fmess.2017.06.

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Tang, Wei, Shu Chen, Shuili Yang, and Dan Zhang. "Financial Shared Service Model Based on Block Chain and Evaluation." In 2020 International Conference on Computer Network, Electronic and Automation (ICCNEA). IEEE, 2020. http://dx.doi.org/10.1109/iccnea50255.2020.00052.

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Pant, Pooja, and Prakash Srivastava. "Cost-Sensitive Model Evaluation Approach for Financial Fraud Detection System." In 2021 Second International Conference on Electronics and Sustainable Communication Systems (ICESC). IEEE, 2021. http://dx.doi.org/10.1109/icesc51422.2021.9532741.

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Reports on the topic "Financial evaluation model"

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Sembler, Jose Ignacio, Regina Legarreta, Ernesto Cuestas, Roni Szwedzki, Sumiko Andrade Sakaguchi, Damian Galinsky, Fernando Barbosa, et al. Approach Paper: Evaluation of IDB Invest. Inter-American Development Bank, September 2022. http://dx.doi.org/10.18235/0004463.

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This approach paper defines the objectives, scope, and methodology for the evaluation of IDB Invest by the Office of Evaluation and Oversight (OVE). At the 2015 annual meeting in Busan, the Boards of Governors of the Inter-American Development Bank (IDB) and the Inter-American Investment Corporation (IIC) decided to consolidate the IDB Group's private sector operations into the IIC. This decision was accompanied by a US$2.03 billion capital increase for the IIC over a 10-year period (2016-2025). This process of consolidation and capitalization, known as the private sector merge-out, took effect on 1 January 2016. In 2017, OVE completed a midterm review of implementation of the private sector merge-out to identify emerging lessons that might be helpful in completing the merge-out. In November 2017, the IIC was rebranded as IDB Invest. At the request of the Boards of Executive Directors of the IDB and IDB Invest, this evaluation was included in OVE's 2021-2022 work program. The Busan Resolution set forth a “Renewed Vision” for promoting development through the private sector. This Renewed Vision provides a long-term framework (2016-2025) for IDB Invest and focuses on strengthening development effectiveness, development impact, and additionality of operations, as well as maximizing the efficient use of resources and synergies between the IDB Group's public and private sector activities. The merge-out was selected as the way to implement this Renewed Vision. The challenges posed by the COVID-19 health crisis, as well as current discussions on the need to pursue a new business model for the institution and its financial and operational implications, make this an ideal moment to take stock of lessons learned and provide input for future discussions at the corporate level. Against this backdrop, this evaluation seeks to report independently to the Boards of Executive Directors of the IDB and IDB Invest on the effectiveness of the implementation to date of the Renewed Vision that gave rise to the creation of IDB Invest. This evaluation will also use the findings of OVE's 2017 midterm review of implementation of the merge-out to further analyze areas that had not yet matured at that time (e.g., finance, operations management, development effectiveness, etc.). The evaluation will cover the period from January 2016 (when the merge-out took effect) to December 2021.
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McKenna, Patrick, and Mark Evans. Emergency Relief and complex service delivery: Towards better outcomes. Queensland University of Technology, June 2021. http://dx.doi.org/10.5204/rep.eprints.211133.

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Emergency Relief (ER) is a Department of Social Services (DSS) funded program, delivered by 197 community organisations (ER Providers) across Australia, to assist people facing a financial crisis with financial/material aid and referrals to other support programs. ER has been playing this important role in Australian communities since 1979. Without ER, more people living in Australia who experience a financial crisis might face further harm such as crippling debt or homelessness. The Emergency Relief National Coordination Group (NCG) was established in April 2020 at the start of the COVID-19 pandemic to advise the Minister for Families and Social Services on the implementation of ER. To inform its advice to the Minister, the NCG partnered with the Institute for Governance at the University of Canberra to conduct research to understand the issues and challenges faced by ER Providers and Service Users in local contexts across Australia. The research involved a desktop review of the existing literature on ER service provision, a large survey which all Commonwealth ER Providers were invited to participate in (and 122 responses were received), interviews with a purposive sample of 18 ER Providers, and the development of a program logic and theory of change for the Commonwealth ER program to assess progress. The surveys and interviews focussed on ER Provider perceptions of the strengths, weaknesses, future challenges, and areas of improvement for current ER provision. The trend of increasing case complexity, the effectiveness of ER service delivery models in achieving outcomes for Service Users, and the significance of volunteering in the sector were investigated. Separately, an evaluation of the performance of the NCG was conducted and a summary of the evaluation is provided as an appendix to this report. Several themes emerged from the review of the existing literature such as service delivery shortcomings in dealing with case complexity, the effectiveness of case management, and repeat requests for service. Interviews with ER workers and Service Users found that an uplift in workforce capability was required to deal with increasing case complexity, leading to recommendations for more training and service standards. Several service evaluations found that ER delivered with case management led to high Service User satisfaction, played an integral role in transforming the lives of people with complex needs, and lowered repeat requests for service. A large longitudinal quantitative study revealed that more time spent with participants substantially decreased the number of repeat requests for service; and, given that repeat requests for service can be an indicator of entrenched poverty, not accessing further services is likely to suggest improvement. The interviews identified the main strengths of ER to be the rapid response and flexible use of funds to stabilise crisis situations and connect people to other supports through strong local networks. Service Users trusted the system because of these strengths, and ER was often an access point to holistic support. There were three main weaknesses identified. First, funding contracts were too short and did not cover the full costs of the program—in particular, case management for complex cases. Second, many Service Users were dependent on ER which was inconsistent with the definition and intent of the program. Third, there was inconsistency in the level of service received by Service Users in different geographic locations. These weaknesses can be improved upon with a joined-up approach featuring co-design and collaborative governance, leading to the successful commissioning of social services. The survey confirmed that volunteers were significant for ER, making up 92% of all workers and 51% of all hours worked in respondent ER programs. Of the 122 respondents, volunteers amounted to 554 full-time equivalents, a contribution valued at $39.4 million. In total there were 8,316 volunteers working in the 122 respondent ER programs. The sector can support and upskill these volunteers (and employees in addition) by developing scalable training solutions such as online training modules, updating ER service standards, and engaging in collaborative learning arrangements where large and small ER Providers share resources. More engagement with peak bodies such as Volunteering Australia might also assist the sector to improve the focus on volunteer engagement. Integrated services achieve better outcomes for complex ER cases—97% of survey respondents either agreed or strongly agreed this was the case. The research identified the dimensions of service integration most relevant to ER Providers to be case management, referrals, the breadth of services offered internally, co-location with interrelated service providers, an established network of support, workforce capability, and Service User engagement. Providers can individually focus on increasing the level of service integration for their ER program to improve their ability to deal with complex cases, which are clearly on the rise. At the system level, a more joined-up approach can also improve service integration across Australia. The key dimensions of this finding are discussed next in more detail. Case management is key for achieving Service User outcomes for complex cases—89% of survey respondents either agreed or strongly agreed this was the case. Interviewees most frequently said they would provide more case management if they could change their service model. Case management allows for more time spent with the Service User, follow up with referral partners, and a higher level of expertise in service delivery to support complex cases. Of course, it is a costly model and not currently funded for all Service Users through ER. Where case management is not available as part of ER, it might be available through a related service that is part of a network of support. Where possible, ER Providers should facilitate access to case management for Service Users who would benefit. At a system level, ER models with a greater component of case management could be implemented as test cases. Referral systems are also key for achieving Service User outcomes, which is reflected in the ER Program Logic presented on page 31. The survey and interview data show that referrals within an integrated service (internal) or in a service hub (co-located) are most effective. Where this is not possible, warm referrals within a trusted network of support are more effective than cold referrals leading to higher take-up and beneficial Service User outcomes. However, cold referrals are most common, pointing to a weakness in ER referral systems. This is because ER Providers do not operate or co-locate with interrelated services in many cases, nor do they have the case management capacity to provide warm referrals in many other cases. For mental illness support, which interviewees identified as one of the most difficult issues to deal with, ER Providers offer an integrated service only 23% of the time, warm referrals 34% of the time, and cold referrals 43% of the time. A focus on referral systems at the individual ER Provider level, and system level through a joined-up approach, might lead to better outcomes for Service Users. The program logic and theory of change for ER have been documented with input from the research findings and included in Section 4.3 on page 31. These show that ER helps people facing a financial crisis to meet their immediate needs, avoid further harm, and access a path to recovery. The research demonstrates that ER is fundamental to supporting vulnerable people in Australia and should therefore continue to be funded by government.
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Ayallo, Irene. Thesis Review: Evaluating the Impact of Social Change Catalyst on Urban Community Development: A Case Study of LIN Centre for Community Development in Ho Chi Minh City, Vietnam by Chau Doan-Bao. Unitec ePress, June 2018. http://dx.doi.org/10.34074/thes.revw22018.

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In this thesis, the author evaluates the impact of the Listen – Inspire – Nurture (LIN) Center’s model of participatory urban community development in Ho Chi Minh City (HCMC). It evidences how LIN has supported urban not-for-profit organisations (NPOs) to alter their self-perception from ‘charity organisations’ to being part of community development processes. Using a participatory communication approach, LIN has encouraged dialogue with and among stakeholders and provided robust information to the community. Consequently, NPOs have become more confident in their own capacities and have more stable financial support. In addition, the corporate sector has a better understanding of the not-for-profit sector and is making a stronger contribution to the development of NPOs in HCMC. These outcomes contribute to effective and sustainable community development in HCMC.
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Ayallo, Irene. Thesis Review: Evaluating the Impact of Social Change Catalyst on Urban Community Development: A Case Study of LIN Centre for Community Development in Ho Chi Minh City, Vietnam by Chau Doan-Bao. Unitec ePress, June 2018. http://dx.doi.org/10.34074/thes.revw4300.

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In this thesis, the author evaluates the impact of the Listen – Inspire – Nurture (LIN) Center’s model of participatory urban community development in Ho Chi Minh City (HCMC). It evidences how LIN has supported urban not-for-profit organisations (NPOs) to alter their self-perception from ‘charity organisations’ to being part of community development processes. Using a participatory communication approach, LIN has encouraged dialogue with and among stakeholders and provided robust information to the community. Consequently, NPOs have become more confident in their own capacities and have more stable financial support. In addition, the corporate sector has a better understanding of the not-for-profit sector and is making a stronger contribution to the development of NPOs in HCMC. These outcomes contribute to effective and sustainable community development in HCMC.
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Kelly, Luke. Lessons on Disaster Resilience Pogramming in Pakistan. Institute of Development Studies, February 2021. http://dx.doi.org/10.19088/k4d.2021.057.

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This rapid literature review finds that lessons drawn from disaster resilience programmes in Pakistan are focused on the best ways to co-ordinate between different resilience work in different sectors. This can be difficult because of the number of NGOs with different sectoral expertise, short time frames for intervention, and the differing capacities of levels of Pakistani government. More generally, although the benefits of linking disaster risk reduction (DRR) to climate change adaptation (CCA) and development work are advocated in many policies, the fact that they are often undertaken by different actors limits synergies. The report also finds that most DRR work is focused on reducing risk from hazards rather than social vulnerabilities. Pakistan is vulnerable to climate change and a range of natural disasters. Following the earthquake in 2005 and floods in 2010, the Pakistani government and international donors have sought to increase the country's resilience to natural hazards. This literature review focuses on disaster risk reduction (DRR) efforts, as these constitute a significant portion of the resilience work in Pakistan. It first defines resilience, DRR and the related concept of CCA, as these all aim to improve resilience. It then surveys lessons learned in implementing resilience and DRR programmes in Pakistan. It focuses on lessons relating to sectoral focus, target populations, as well as strategic framework and operating models. It is mainly based on evaluations written by NGOs, UN bodies and international financial institutions. NGO reports are typically focused on specific programmes, although some point to broader features of the landscape for resilience programming in Pakistan. Academic papers charting the trends and issues in resilience programming have also been consulted.
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Kelly, Luke. What Accountability Means in Somalia. Institute of Development Studies, June 2022. http://dx.doi.org/10.19088/k4d.2022.113.

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This rapid literature review finds that accountability programming in Somalia is focused on working effectively with the country’s hybrid governance. A number of programmes have generated findings on the potential of non-state actors to improve accountability, with a focus on contextual analysis and adaptive programming. Accountability is defined as mechanisms to hold people in power to account according to an agreed standard. Improving accountability may be difficult in fragile and conflict-affected states such as Somalia where power is dispersed and informal. Somalia is commonly described as a hybrid political order. Regions in Somalia have more and less robust governments and non-state actors have a number of important but informal roles in governance. Moreover, the prevalence of clan-based politics and patriarchal norms limits the inclusivity of accountability mechanisms, with women and members of minority clans among those commonly excluded. This report is focused on accountability in governance. It surveys both evidence on the status and contours of accountability in Somalia, and on programmes to improve accountability. It is based on evidence from the Implementation and Analysis in Action of Accountability Programme (IAAAP) Somalia programme, as well as other relevant programmes. It describes the findings on the barriers and enablers to greater accountability in Somalia, as well as lessons on implementing programmes. It does not survey every accountability programme, or programme with accountability components, but instead focused on published evaluations and evidence syntheses. Several programmes, such as IAAAP, have sought to research, improve and learn lessons on accountability in Somalia. IAAAP ran from 2013 to 2019 and had a budget of GBP 23 million. It worked as an innovation laboratory to test models for greater accountability through adaptive programming. IAAAP worked on different themes, including civil society-state engagement, financial flows and extractive industries.
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Community participation in health, family planning and development activities: A review of international experiences. Population Council, 1996. http://dx.doi.org/10.31899/rh1996.1010.

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The family planning (FP)/maternal and child health (MCH) program in Bangladesh has achieved success in the recent past, mostly through a large-scale government service-delivery system with support and cooperation from donors and nongovernmental organizations. There is concern about the financial and social sustainability of the program. Other issues include achievement of replacement-level fertility within a stipulated period and improvement of MCH-FP service quality. It is widely believed that most of the concerns will be taken care of with effective community participation. Before activating community initiatives, it is worth carrying out action research. A literature review was completed from July to October 1996 to identify a range of models used for increasing community participation and experiences in terms of implementation, management, financing, monitoring and evaluation, and sustainability in both rural and urban areas. Attempts were also made to identify a set of indicators to assess the level of community participation in these programs. This report documents the results of the review.
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