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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Li, Luya, and Hongxun Li. "Analysis of Financing Risk and Innovation Motivation Mechanism of Financial Service Industry Based on Internet of Things." Complexity 2021 (April 13, 2021): 1–9. http://dx.doi.org/10.1155/2021/5523290.
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It is of practical significance to introduce the Internet of Things technology into the financial service industry and find the driving factors and mechanisms of financial innovation to accelerate the promotion of financial innovation. This article starts from the perspective of banks and other supply chain financial institutions, takes mainstream trading products in the commodity trading market as the research object, uses the LA-VAR model, and fully considers the market price fluctuations and liquidity factors of supply chain financial inventory products. It analyzes the theoretical basis of the continuous innovation of rural financial products. On the basis of analyzing the basic characteristics and types of rural financial product innovation, we explore the connotation of sustainable innovation of rural financial products, clarify the evaluation criteria, and lay a theoretical foundation for continuous dynamic evaluation. Based on technical innovation evaluation theoretical models such as Schumpeter’s innovation model, technical specifications-technological track model, and NR relationship model market, we analyze the innovation elements of rural financial products from the external and internal aspects of innovation and discuss the relationship between the factors. The interaction mechanism of rural financial products has established a dynamic mechanism model for the continuous innovation of rural financial products. A fuzzy comprehensive evaluation was made on the continuous innovation power of financial service industry products in a certain area. Using a combination of remote surveys and on-site visits, a questionnaire survey was conducted on financial service industry institutions in a certain region’s financial system. Each survey object was required to conduct 120 × 1067 index comparisons and use the data after processing the arithmetic average Matlab carries out the objective processing of programming. The results show that the LA-VAR model with liquidity indicators can measure the liquidity risk well and more comprehensively evaluate the risk of the inventory pledge financing model. According to the index weights determined by AHP, the development of the financial service industry will be promoted in a targeted manner from the internal construction of financial institutions and the optimization of the external innovation environment.
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Lam, Weng Siew, Weng Hoe Lam, Saiful Hafizah Jaaman, and Kah Fai Liew. "Performance Evaluation of Construction Companies Using Integrated Entropy–Fuzzy VIKOR Model." Entropy 23, no. 3 (March 8, 2021): 320. http://dx.doi.org/10.3390/e23030320.
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The construction sector plays an important role in a country’s economic development. The financial performance of a company is a good indicator of its financial health and status. In Malaysia, the government encourages the construction industry to develop an advanced infrastructure related to health, transport, education and housing. In view of the COVID-19 pandemic, the operations and financial performance of construction sector companies have been affected recently. Additionally, uncertainty plays a vital role in the multi-criteria decision-making (MCDM) process. Based on previous studies, there has been no comprehensive study conducted on the evaluation of the financial performance of construction companies by integrating entropy and fuzzy VIKOR models. Therefore, this paper aims to propose an MCDM model to evaluate and compare the financial performance of construction companies with an integrated entropy–fuzzy VIKOR model. A case study is carried out by evaluating the listed construction companies in Malaysia with the proposed model. The findings of this paper indicate that the company ECONBHD achieves the best financial performance over the study period. The significance of this paper is to determine the priority of the financial ratios and ranking of the construction companies with the proposed entropy–fuzzy VIKOR model.
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Radionova, Marina Vladimirovna, Anton Aleksandrovich Korzukhin, and Nikita Andreevich Saushev. "Mathematical methods of financial transaction evaluation for fraud." Вестник Пермского университета. Серия «Экономика» = Perm University Herald. ECONOMY 16, no. 1 (2021): 54–66. http://dx.doi.org/10.17072/1994-9960-2021-1-54-66.
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An increase in the number of the financial transaction is currently observed, which triggers more financial frauds and more losses from the cyber attacks in the global economy. Detection of the deviant transactions is a burning issue for modern studies because all bank system participants are looking for minimizing the risks which could arise from the vulnerabilities in online transaction. An increase in the financial losses caused by the financial fraud updates the importance of the mathematical methods to analyze the real data. The purpose of the present study is to develop and to define the best mathematical model to predict fraudulent transactions. The novelty of the study lies in designing different binary choice models based on the panel data to predict the deviant transactions, as well as to compare the econometric models with the models based on the neural networks and tree ensembles and in justifying the choice of the best model. Methodologically, the study applies correlational analysis methods, econometric and neural network methods, decision tree ensembles. The most significant results referred to the scientific novelty of the research are as follows: 1) panel data-based financial transactions have been econometrically analyzed within probit- and logit-models with fixed or random effects; 2) neural network methods and tree ensemble-based method have been applied to predict fraudulent transactions; 3) designed mathematical models have been comparatively analyzed, and the model giving the best result in detecting the fraudulent transaction has been defined. Further research is connected with more profound study of the impact of different factors to check the financial transactions for their fraud nature.
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AL-RAWI, KHALID. "A Suggested Mathematical Model for Project Financial Performance Evaluation." Journal of King Abdulaziz University-Economics and Administration 17, no. 1 (2003): 19–29. http://dx.doi.org/10.4197/eco.17-1.2.
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Leon, Ramona Diana, Laurențiu Mihai Treapăt, Anda Gheorghiu, and Sergiu Octavian Stan. "A microcredit evaluation model for non-bank financial institutions." Kybernetes 49, no. 9 (June 19, 2019): 2185–99. http://dx.doi.org/10.1108/k-05-2018-0250.
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Purpose The paper aims to develop a microcredit evaluation model (MEM) which could serve as a useful tool for banks and NBFIs when SMEs’ economic and financial risks are evaluated. Design/methodology/approach Based on the literature review, a set of 17 qualitative and quantitative prudential indicators is selected. Further, a calculation system is developed which relies on the multiple criteria analysis model elaborated by Altman (1968); starting from this, a matrix is developed and a rating system is built. The model is tested among six NBFIs which operate on the Romanian market; three of them are labeled by the Romanian Central Bank as the worst performers, while the other ones are qualified as the best performers. Data are collected from companies’ annual reports and also from the Ministry of Finance. Findings It proves that the MEM can serve as a useful tool for the national and international NBFIs’ risk assessment. It can anticipate NBFIs’ success or fall. Furthermore, its results can be guaranteed with a probability of 95 per cent, calculated through the VaR method. Last but not least, it can also be used by the international NBFIs which intend to enter in the Romanian market. Originality/value The present paper proposes an original model based on both quantitative and qualitative indicators organized in an integrative equation. The MEM helps both parties involved in the financial grant awarding process – NBFIs are able to better assess requests from SMEs, enabling them to increase the volume of granting, whereas SMEs are able to access money for development projects more easily.
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Wu, Shuang, Hui Zhang, Yuan Tian, and Liyuan Shi. "Financial Distress Warning: An Evaluation System including Ecological Efficiency." Discrete Dynamics in Nature and Society 2021 (July 13, 2021): 1–9. http://dx.doi.org/10.1155/2021/5605892.
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This article established an evaluation system including ecological efficiency that can provide a more accurate financial distress warning for companies. Based on the data of listed companies, Data Envelopment Analysis (DEA) is applied to evaluating the business efficiency, financial efficiency, financing efficiency, human capital efficiency, and ecological efficiency, and the accuracy of the evaluation system that includes ecological efficiency is measured by artificial neural networks (ANNs). Besides, the logit model is applied to test the results. Our experiments indicate that participating in ecological efficiency improves the evaluation system of financial distress warnings, and its accuracy is much better than the traditional evaluation system in the long run. The logit model confirms the essential of ecological indicators in financial distress warning, and the behavior of observing environmental regulation will prevent enterprises from getting into financial distress. Finally, suggestions on improving green finance and promoting technological innovation are propounded, in which technological innovation (TI) is the core of an enterprise’s competitiveness, and green finance can accelerate that process.
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Liu, Chang. "An Intelligent Evaluation Model of Enterprise Financial Data Quality Based on Artificial Neural Network." Wireless Communications and Mobile Computing 2022 (April 4, 2022): 1–11. http://dx.doi.org/10.1155/2022/5985733.
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With the progress of information technology and the rapid development of economy, the importance of financial data quality evaluation in social and economic activities is increasing day by day. Based on the present situation of enterprise development and machine learning method, this paper constructs an intelligent evaluation model of enterprise financial data quality. This paper expounds the research methods of financial quality evaluation, including the evaluation method based on financial indicators and the evaluation method based on nonfinancial indicators. This paper introduces the basic theory of financial quality evaluation. And make use of the company’s report data and annual report text data, respectively. In this paper, the evaluation subject has changed from a specialized agency to a public evaluation group, the evaluation object should change from conformity quality to practical quality, and the evaluation method should also change from rule-based expert inference algorithm to cognitive-based social calculation method. The realization of these changes needs the support of intelligent evaluation mode, which consists of three main links: identification and classification management of evaluation subjects, measurement of evaluation objects, and use and standardization of intelligent technologies. Finally, the financial quality evaluation is summarized and prospected, hoping to contribute to the research of the company’s financial quality evaluation.
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Wahyuhadi, Joni, Nur Hidayah, and Qurratul Aini. "A Model of Performance Evaluation for Healthcare Workers Based on Satisfaction and Remuneration (Financial and Non-Financial)." Folia Medica Indonesiana 58, no. 4 (December 5, 2022): 364–70. http://dx.doi.org/10.20473/fmi.v58i4.38126.
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Highlights: This study aimed to formulate an evaluation model of the performance of health workers. Employee performance targets and employee satisfaction were assessed by considering the financial and non-financial remuneration, Job Description Index (JDI), competencies, and motivation. The performance evaluation model for health workers shows the importance of remuneration for government agencies, employees, and employee performance. Abstract: This study aimed to formulate an evaluation model of the performance of health workers from the perspective of financial and non-financial satisfaction and remuneration. The research method used was a literature study with a literature review approach. The research findings were the healthcare workers' performance evaluation model based on satisfaction and remuneration. The evaluation was conducted by assessing the employee performance targets (sasaran kerja pegawai/SKP) and employee satisfaction related to the financial and non-financial remuneration, Job Description Index (JDI), competencies, and motivation. In addition, this model has been also used for the evaluation of performance appraisal based on remuneration among employees (i.e. health workers) in government agencies, especially hospitals.
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Doppegieter, J. J., and I. J. Lambrechts. "A financial evaluation of price formulae." South African Journal of Business Management 16, no. 2 (June 30, 1985): 98–102. http://dx.doi.org/10.4102/sajbm.v16i2.1080.
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This is the second in a series of four articles on price formulae/determination. In the first a simulation model was developed and the criterion of evaluating the model, the internal rate of return, was introduced. In this article two price formulae are simulated and analysed in accordance with principles discussed in the first article. Significant differences emerge between the two formulae. The internal rate of return of formula B (which is expressed in terms of replacement values) is continuously more than 100 % higher and more stable than that of formula A (which is expressed in terms of historical values). It also appears that it can be misleading to judge the profitability of a price formula against the allowed rate of profitability. The adequacy of the price formulae for inflation is judged by examining the internal rate of return in a situation with and without inflation and by calculating the ratio between depreciation allowed and replacement investments. Finally, the effect of the formulae on financial structure is analysed by calculating a liquidity (based on cash flow) and a solvability ratio. In conclusion, it appears that formula B is superior to formula A, mainly as a result of differences between the price formulae.
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Ward, S., F. A. Memon, and D. Butler. "Rainwater harvesting: model-based design evaluation." Water Science and Technology 61, no. 1 (January 1, 2010): 85–96. http://dx.doi.org/10.2166/wst.2010.783.
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The rate of uptake of rainwater harvesting (RWH) in the UK has been slow to date, but is expected to gain momentum in the near future. The designs of two different new-build rainwater harvesting systems, based on simple methods, are evaluated using three different design methods, including a continuous simulation modelling approach. The RWH systems are shown to fulfill 36% and 46% of WC demand. Financial analyses reveal that RWH systems within large commercial buildings maybe more financially viable than smaller domestic systems. It is identified that design methods based on simple approaches generate tank sizes substantially larger than the continuous simulation. Comparison of the actual tank sizes and those calculated using continuous simulation established that the tanks installed are oversized for their associated demand level and catchment size. Oversizing tanks can lead to excessive system capital costs, which currently hinders the uptake of systems. Furthermore, it is demonstrated that the catchment area size is often overlooked when designing UK-based RWH systems. With respect to these findings, a recommendation for a transition from the use of simple tools to continuous simulation models is made.
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Kuo, Hsien-Chang, Lie-Huey Wang, Her-Jiun Sheu, and Fa-Kuang Li. "Credit Evaluation for Small and Medium-sized Enterprises by the Examination of Firm-specific Financial Ratios and Non-financial Variables: Evidence from Taiwan." Review of Pacific Basin Financial Markets and Policies 06, no. 01 (March 2003): 5–20. http://dx.doi.org/10.1142/s0219091503000980.
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A credit evaluation model for SMEs in Taiwan based on the characteristics of financial as well as non-financial data is proposed in this paper. While most financial distress prediction models use financial ratios as predictive variables, this study also integrates non-financial data as predictive variables. Kuo and Li (1999) proposed that certain firm-specific financial ratios have informational content. Moreover, the introduction of non-financial variables does enhance the model's discrimination power. The proposed credit evaluation model makes it easier to classify successful or failed SMEs.
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Beniušytė, Erika, and Aurelija Zonienė. "Financial model of investments to fixed assets." Buhalterinės apskaitos teorija ir praktika, no. 16 (July 5, 2019): 105–13. http://dx.doi.org/10.15388/batp.2014.no16.10.
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The analysis of the investments to fixed assets revealed that there is no common system in evaluation of investments to fixed assets. The financial model of investments to fixed assets is recommended. The model consists of these stages: 1) the need determination of investments in fixed assets; 2) financing sources selection of the investments in fixed assets; 3) the calculation of financial benefits of the investments in fixed assets; 4) risk identification of the investment in fixed assets; 5) decision making.
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Sharp, Colin A. "An Organisational Evaluation Capability Hierarchy Model for Self-diagnosis1." Evaluation Journal of Australasia 4, no. 1-2 (March 2005): 27–32. http://dx.doi.org/10.1177/1035719x05004001-205.
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The use of Capability Maturity Models in financial management, project management, people management and information systems management in a wide variety of organisations indicates the potential for an Organisational Evaluation Capability Hierarchy to guide the self-diagnosis of organisations in building their evaluation maturity. This paper is about the theory behind this growing trend in organisational governance and organisational diagnosis, and explores its relevance to evaluation theory and practice. This theoretical analysis may have long-term practical benefits for evaluation practitioners, as is being developed in the fields of project management, financial management, and people management in a wide range of organisations.
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Chen, Liancheng, and Rong Jiang. "Internet Financial Risk Model Evaluation and Control Decision Based on Big Data." Wireless Communications and Mobile Computing 2022 (August 13, 2022): 1–10. http://dx.doi.org/10.1155/2022/8606624.
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Internet finance is the application of advanced information technology to traditional finance. Internet finance is accelerating its growth, and its performance is most obvious in the financial market. The Internet financial reduces costs of traditional financial, which makes it more civilian. The unstable factors of Internet finance, such as regulation, credit reporting, and network security, lead to a gradual increase in risks. The current Internet financial risk model is slow to deal with risks and cannot solve the financial risks that arise in time to ensure the safety of the platform. In order to solve this problem, the big data technology was applied to the Internet financial risk model to evaluate and control financial risks. The default rate, rate of return, risk control time, model performance score, and other aspects of the Internet financial risk model using big data were tested. It is found that by applying big data technology to the Internet financial risk model, the customer default rate decreased by 6.14%, the yield increased by 7.6%, the time to deal with risks was reduced by 0.46 minutes, and the model performance score was improved by 0.796 points. Big data technology can effectively control and avoid Internet financial risks and help investors avoid risks.
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Wang, Dongliang. "The Application of Grey Relational Analysis in the Evaluation of Financial Auditing Effect and Improvement." Mobile Information Systems 2022 (July 4, 2022): 1–6. http://dx.doi.org/10.1155/2022/6854225.
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Financial institutions are confronting more complicated risks as a result of the current financial crisis. Financial auditing is an essential aspect of government auditing since it serves to protect the security and stability of the national financial system by evaluating financial systemic vulnerabilities. Therefore, this paper combines the grey relational analysis to carry out research work on the financial auditing effect and improvement evaluation. Firstly, we conducted a preliminary selection of relevant financial audit impact indicators and identified the design of the influencing factor system as well as appropriate data for the influencing factors, resulting in the first evaluation system of the evaluation indicators. Secondly, we created a factor set for evaluating the financial audit improvement effect. The completed task proportion component and the task completion quality factor are the two kinds of improvement impact evaluation factors. On this foundation, this research develops a grey correlation-based assessment model for audit effect enhancement. The residual graph fitting findings indicate that the scheme has a good implementation impact and may be utilised to assess the financial auditing improvement effect.
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Hsu, Li-Chang. "INVESTMENT DECISION MAKING USING A COMBINED FACTOR ANALYSIS AND ENTROPY-BASED TOPSIS MODEL." Journal of Business Economics and Management 14, no. 3 (June 27, 2013): 448–66. http://dx.doi.org/10.3846/16111699.2011.633098.
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Traditionally, the return on assets and the return on equity are used as the criteria in the evaluation of financial performance, while risk considerations are ignored. Therefore, this study combined financial ratio variables and the RAROC (risk-adjusted rate of return on capital) as the evaluation criteria and developed a financial performance evaluation model. The proposed evaluation model combines factor analysis with entropy weight and the TOPSIS (technique for order performance by similarity to ideal solution) to evaluate the financial performance of Taiwan's 50 listed opto-electronic companies. Finally, Spearman's and Kendall's rank correlations are used to verify that there is no significant difference between the 2007 and 2008 rankings of the companies. The empirical results show the financial performance rankings of the companies before and after the global financial turmoil. These findings not only help investors making investment decisions, but also can help managers make decisions to improve their company's financial performance.
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Ma’aji, Muhammad M., Nur Adiana Hiau Abdullah, and Karren Lee-Hwei Khaw. "Predicting Financial Distress among SMEs in Malaysia." European Scientific Journal, ESJ 14, no. 7 (March 31, 2018): 91. http://dx.doi.org/10.19044/esj.2018.v14n7p91.
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Predicting financial distress among Small and Medium Enterprises (SMEs) can have a significant impact on the economy as it serves as an effective early warning signal. The study develops distress prediction models combining financial, non-financial and governance variables which were used to analyze the influence of major corporate governance characteristics, like ownership and board structures, on the likelihood of financial distress. Multiple Discriminant Analysis (MDA) model as one of the extensively documented approaches was used. The final sample for the estimation model consists of 172 companies with 50 percent non-failed cases and 50 percent failed cases for the period between 2000 to 2012. The prediction models perform relatively well especially in MDA model that incorporate governance, financial and non-financial variables, with an overall accuracy rate of 90.7 percent in the estimated sample. The accuracy rate in the holdout sample was 91.2 percent for the MDA model. This evidence shows that the models serve as efficient earlywarning signals and can thus be beneficial for monitoring and evaluation. Controlling shareholder, number of directors, and gender of managing director are found to be significant predictors of financially distressed SMEs.
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Wu, Xinyue, and Shaolun Zeng. "Financial Risk Evaluation of Listed Liquor Companies." Frontiers in Business, Economics and Management 5, no. 1 (September 12, 2022): 207–14. http://dx.doi.org/10.54097/fbem.v5i1.1575.
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Based on the financial data of Shanghai and Shenzhen stock markets from 2011 to 2020, we evaluate the financial risk of 15 listed companies in the liquor industry using principal component analysis method in this paper. Selecting 16 indicators in four aspects: debt solvency, operating ability, profitability, and development ability for principal component analysis, five principal component models are obtained. From the comprehensive evaluation model of financial risk obtained in this paper, it can be concluded that the first and second, the third and fourth principal components have an important impact on risk evaluation, especially the first principal component, which reflects the solvency of the liquor industry companies such as cash flow or liquid assets realization, and the company's profitability with all assets to obtain income levels. The financial risk of the company is greatly affected. This paper analyzes and discusses the financial risks of Chinese liquor listed companies from four aspects, including solvency.
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Raza, Muhammad Subtain, Muhammad Fayaz, Muhammad Haseeb Ijaz, and Danish Hussain. "Money Laundering Risk Evaluation of Financial Institution with AHP Model." Journal of Financial Risk Management 06, no. 02 (2017): 119–25. http://dx.doi.org/10.4236/jfrm.2017.62010.
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Townsend, Robert M., and Kenichi Ueda. "Financial Deepening, Inequality, and Growth: A Model-Based Quantitative Evaluation." IMF Working Papers 03, no. 193 (2003): 1. http://dx.doi.org/10.5089/9781451859836.001.
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Agarwal, Basant, Pankaj Kumar Jadwal, and Sonal Jain. "Financial credit risk evaluation model using machine learning-based approach." World Review of Entrepreneurship, Management and Sustainable Development 16, no. 6 (2020): 576. http://dx.doi.org/10.1504/wremsd.2020.10033435.
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Jadwal, Pankaj Kumar, Sonal Jain, and Basant Agarwal. "Financial credit risk evaluation model using machine learning-based approach." World Review of Entrepreneurship, Management and Sustainable Development 16, no. 6 (2020): 576. http://dx.doi.org/10.1504/wremsd.2020.111383.
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Di Lorenzo, Emilia, Marilena Sibillo, and Gerarda Tessitore. "A stochastic model for financial evaluation: applications to actuarial contracts." Applied Stochastic Models in Business and Industry 15, no. 4 (October 1999): 269–75. http://dx.doi.org/10.1002/(sici)1526-4025(199910/12)15:4<269::aid-asmb392>3.0.co;2-f.
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Shi, Wenlei, Lei Xu, and Dongli Peng. "Application of Deep Learning in Financial Management Evaluation." Scientific Programming 2021 (November 3, 2021): 1–9. http://dx.doi.org/10.1155/2021/2475885.
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The competition among enterprises is becoming increasingly fierce. The research on the financial management evaluation model is helpful for enterprises to find possible risks as soon as possible. This paper constructs the financial management evaluation model based on the deep belief network and applies the analytic hierarchy process to determine the weight of financial management evaluation indicators, which is compared with other classical deep learning evaluation methods, such as KNN, SVM-RBF, and SVM linear. It has achieved an accuracy of more than 81%, showing a satisfactory prediction effect, which is of great significance to formulate corresponding countermeasures, strengthen financial management, improve the capital market system, and promote high-quality economic development. In addition, aiming at the problem of abnormal financial data, this paper uses the new sample dataset obtained by principal component analysis for convolution neural network model learning, which enhances the prediction accuracy of the model and fully shows that deep learning is feasible in the research of financial management prediction, and there is still a lot of space to explore.
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Dongre, Yashavantha, and M. V. Narayana Swamy. "Performance Evaluation Model for Primary Agricultural Credit Societies." Vikalpa: The Journal for Decision Makers 24, no. 1 (January 1999): 45–54. http://dx.doi.org/10.1177/0256090919990106.
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This article by Dongre and Narayana Swamy is an attempt to evolve an appropriate statistical model to evaluate the financial performance of the primary agricultural credit societies. It is based on the empirical data gathered from 14 sample societies of two talukas in the Dakshina Kannada district of Karnataka state. Considering that fund management is the basic weak link in most primary agricultural credit societies, it is imperative that they be able to evaluate their performance and, based on the feedback, restructure their financial policies. It is hoped that the model suggested here comes handy to the management in periodic evaluation, feedback, and follow-up activities.
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Zhu, Danping. "A Fuzzy Comprehensive Evaluation and Random Forest Model for Financial Account Audit Early Warning." Mobile Information Systems 2022 (March 24, 2022): 1–11. http://dx.doi.org/10.1155/2022/5425618.
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Financial risk is objective, developmental, and predictable and has an important impact on the development and operation of enterprises. China’s economy is currently facing major changes, and with the introduction of the “Made in China 2025” plan, deepening supply-side reform, and the rapid development of artificial intelligence, blockchain, and big data technology, the importance of enterprise financial early warning is becoming increasingly prominent. Therefore, by establishing and studying the changes in some financial indicators and establishing an effective enterprise financial early warning model, the signals of financial crisis can be found in time, to prevent and eliminate the hidden danger of enterprise financial crisis and ensure the financial security of the enterprise. The enterprise financial system and business management system are running well. Based on this, a financial early warning model is proposed in this study. First, financial early warning indicators are constructed, and the existing financial indicators are used to establish an early warning indicator system that can detect and identify the financial risks of the enterprise. Then, the financial early warning model based on the fuzzy comprehensive evaluation model and random forest algorithm for fuzzy comprehensive evaluation is constructed using the advantages and noise resistance of the integrated model of fuzzy comprehensive evaluation model and random forest algorithm. The financial data set is used to verify the model constructed in this study. The experimental results show that the model in this study not only is beneficial for enterprises to control financial crisis but also plays a financial early warning role.
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DOTSENKO, INNA, and LESYA MATVIICHUK. "MODEL OF EVALUATION OF INVESTMENT ATTRACTIVENESS OF THE ENTERPRISE." MODELING THE DEVELOPMENT OF THE ECONOMIC SYSTEMS 2, no. 2 (August 2021): 6–11. http://dx.doi.org/10.31891/mdes/2021-2-1.
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In the modern financial and economic conditions of business entities, ensuring the investment attractiveness of the enterprise is the key to its profitability and long-term development. The article considers the essence of investment attractiveness of enterprises. Based on the analysis of literature sources, the concept of investment attractiveness of the enterprise is clarified, which can contribute to a more accurate and clear definition of the processes associated with this activity. Under the "investment attractiveness" as an economic category should be understood as the level of efficiency of the available financial and economic resources of the enterprise, the indicators of which allow potential investors to draw conclusions about the need and feasibility of investing in the enterprise. It is found that the main components of the formation of investment potential of the enterprise are indicators of profitability, liquidity and solvency, business activity, financial stability. In the process of analyzing the literature and conducting a theoretical study identified various methodological approaches to assessing the investment attractiveness of the enterprise, among which are such classic tools as the method of sum of coefficients, the method of complex assessment, the method of sum of places. Their critical analysis is carried out, the advantages and disadvantages are determined. It is proved that the most clear and substantiated assessment of the level of investment attractiveness of the enterprise is considered in the methods based on the definition of the integrated indicator of investment attractiveness of the enterprise. This is the simplest method of analyzing the level of investment attractiveness, which requires the least time, and also allows you to quickly track negative trends in the enterprise, based on the calculation of financial ratios. It is substantiated that the assessment of the level of investment attractiveness of the enterprise should be carried out through rapid assessment, which is based on the calculation of an integrated indicator and provides analysis of the effectiveness of the main coefficients of financial condition based on comparison of marginal (critical and normal) and actual values. The proposed model of rapid assessment allows you to get an objective picture of the financial condition and efficiency of the existing investment attractiveness of the enterprise.
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Pan, Yuxiang, Yimin Huang, and Ershi Qi. "Chinese manufacturing industry development strategy from the financial perspective." Grey Systems: Theory and Application 6, no. 2 (August 1, 2016): 203–15. http://dx.doi.org/10.1108/gs-02-2016-0003.
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Purpose – Based on literature review, the purpose of this paper is to design a comprehensive evaluation system for pharmaceutical industry from the financial perspective, and then analyses the development strategy of Chinese pharmaceutical industry according to the data of listed companies. Design/methodology/approach – This paper analyses the development strategy of Chinese pharmaceutical industry through building the grey dominance evaluation model including absolute degree of grey incidence model and relative degree of grey incidence model. Findings – Through the analysis of the grey dominance evaluation model, the authors find that four factors including total assets turnover, quick ratio, inventory turnover and current ratio can be grouped into first grade assessment indicator when evaluating the performance of Chinese pharmaceutical industry. These four indexes contain the concept of operational efficiency which shows that operation capability is the key to support the development of Chinese pharmaceutical industry, needing to be highly valued when organizations making business policy. When it comes to velocity of development, the contribution of R & D intensity is relatively small, which shows innovation ability of China’s pharmaceutical industry is still weak. Innovation is the lifeblood of enterprise development, needing to be improved to promote enterprise’s core competitiveness in the future development. Originality/value – This paper selects Y1-Y7 as the performance evaluation system of pharmaceutical manufacturing enterprises, while X1-X15 as performance evaluation index system from the financial perspective, which indicated that the evaluation system is scientific and practical. The empirical result shows that the operation capability makes the largest contribution to the performance of China’s pharmaceutical industry, while R & D ability and the enterprise core competitive ability are weak.
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Bivainis, Juozas, and Algirdas Butkevičius. "METHODOLOGICAL ASPECTS OF EVALUATION OF STATE BUDGE! PROGRAMMES." Journal of Business Economics and Management 4, no. 1 (March 30, 2003): 53–61. http://dx.doi.org/10.3846/16111699.2003.9636038.
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The paper deals with the reasonability of allocation of public financial resources. It presents an integrated evaluation model applicable to budget programmes and capable of deepening the comprehensiveness as well as the objectivity of programme evaluation aimed at benchmarking. The nucleus of the model consists of four components: evaluation of relevance, evaluation of efficiency, evaluation of fitness, and the synthesis of the said evaluations. The contents and main methodological aspects of each component are described.
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Majdáková, Andrea, Blanka Giertliová, and Iveta Hajdúchová. "Prediction by financial and economic analysis in the conditions of forest enterprises." Journal of Forest Science 66, No. 1 (January 30, 2020): 1–8. http://dx.doi.org/10.17221/84/2019-jfs.
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Individual companies need to know their financial condition. They have a wide range of methods and procedures to create a system of the financial and economic analysis of a company. The analysis is focused on the evaluation of a specific group of methods for predicting the financial health of a business entity. Evaluations of the financial situation of a company are divided into point methods, mathematical and statistical methods and neural networks. The individual methods differ from each other in difficulty, in the extent of the analyzed areas and possibilities of application. The aim of this work is to assess the possibilities of using selected methods of comprehensive evaluation of companies as a tool for an analysis of the position of each company in the branch. The suitability and feasibility of each method are tested on a selected group of companies. Quick Test, Tamari Model, Beaver Model are included in this work. Based on the results, improvements and recommendations for the practical use were suggested. The results showed that the best predictive methods are Quick Test and Tamari Model, because they are quick and unequivocal when assessing the analyzed companies. An inappropriate prediction method is the Beaver model, which uses only two financial indicators to evaluate companies.
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Kang, Qiong. "Financial risk assessment model based on big data." International Journal of Modeling, Simulation, and Scientific Computing 10, no. 04 (August 2019): 1950021. http://dx.doi.org/10.1142/s1793962319500211.
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Conventional financial risk assessment is not accurate and its adaptive assessment ability is low. In order to solve this problem, a financial risk assessment model based on big data is proposed. In this method, the quantitative analysis method is adopted to analyze the explanatory variable model and the control variable model of financial risk assessment. The market-to-book ratio, asset–liability ratio, cash flow ratio and financing structure model are adopted as constraint parameters to construct a big data analysis model for financial risk assessment. On this basis, the adaptive fuzzy weighted control method is adopted for information fusion of financial risk assessment data and big data classification, and the asset income control and innovative evaluation model are adopted for linear planning and square fitting during financial risk assessment. Based on the intervention factors of financial market participants, quantitative regression analysis is performed, and according to the economic game theory, big data analysis and prediction of financial risk assessment are performed through the regression analysis method. Then the big data fusion and clustering algorithms are adopted for financial risk assessment. The simulation results show that this method can provide a relatively high accuracy in financial risk assessment, and has relatively strong adaptive evaluation capability to the risk coefficient, so it has a good application value in the prevention and control of risk factors in financial systems.
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Yang, Yang. "Security Evaluation of Financial and Insurance and Ruin Probability Analysis Integrating Deep Learning Models." Computational Intelligence and Neuroscience 2022 (June 8, 2022): 1–10. http://dx.doi.org/10.1155/2022/1857100.
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To ensure safe development of the financial and insurance industry and promote the continuous growth of the social economy, the theory and its role of deep learning are firstly analyzed. Secondly, the security of financial and insurance and bankruptcy probability are discussed. Finally, an analytical model of the security bankruptcy probability of financial and insurance is designed through a deep learning model, and the model is evaluated comprehensively. The research results manifest that first, the designed security evaluation of the financial and insurance industry based on the deep learning and bankruptcy probability analysis model not only has strong learning ability but also can effectively reduce its own calculation error through short-time learning. Then, by comparing with other models, it is found that the designed model has a stronger ability to control various errors than other models, and the overall error rate of the model can be reduced to about 20%. At last, the data training indicates that the model designed by the deep learning method can accurately and effectively predict the basic situation of the financial and insurance industry, the minimum error can reach 0, and the highest is only about 3. The research provides a technical reference for the development of the financial and insurance industry and contributes to the prosperity of the social economy.
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Zhao, Hai Yan, and Juan Li. "Unascertained Measure Evaluation in Financial Distress Prediction of Listed Company." Applied Mechanics and Materials 687-691 (November 2014): 5131–35. http://dx.doi.org/10.4028/www.scientific.net/amm.687-691.5131.
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Evaluation system of financial distress prediction of listed company was established base on the non-financial index cooperated with financial index widespread. And the procedure of the application of unascertained measure model to financial distress prediction was stated in brief. We focused on a certain listed company of Harbin city in Heilongjiang Province, the results showed that the financial risk of this company was moderate-warning according unascertained measure model. It was found that the application of unascertained measure model to financial distress prediction of listed company was feasible. Meanwhile, this method solved the problem of the weight which was presented subjective judgment in market evolution, and promoted the market process fairer and more scientific. The unascertained measure model was very worthy of research significance and prospect.
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Li, Jun, Ling Ling Zhang, and Yong Shi. "Research on Evaluation Model of Organisational Knowledge Assets." Journal of Information & Knowledge Management 07, no. 01 (March 2008): 47–54. http://dx.doi.org/10.1142/s0219649208001920.
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Nowadays, valuation and measurement of knowledge assets has become a challenging problem for many organisations. This paper first introduces the concept of knowledge assets and presents some evaluation models of knowledge assets. Then, based on the methodology of the balanced scorecard, this paper proposes an index system which comprises quantitative indices and qualitative indices and financial indices and non-financial indices which are weighted by the analytical hierarchy process method to evaluate organisational knowledge assets. Thus, the status of organisational knowledge assets management can be estimated by a final score calculated by efficacy coefficient method and professional evaluation method in the model. At last, the paper gives a case study for this model's application. It is hoped that the information accrued from the case study, together with the evaluation model, will help to pave the way for organisations to evaluate their knowledge assets.
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El Ibrami, Hassan, and Ahmed Naciri. "Equity Capital-Structure-Based Evaluation Method." International Journal of Accounting and Financial Reporting 2, no. 2 (December 28, 2012): 299. http://dx.doi.org/10.5296/ijafr.v2i2.2537.
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Abstract The main purpose of this paper is to theoretically compare three structural models presenting several similarities and using financial statements within the context of real options theory. The models are those suggested by i) Leland (1994); ii) Goldstein, Ju and Leland (2001) and iii) Sarkar and Zapatero (2003). The analysis emphasizes convergence conditions of the three models based on their respective dynamic equations. The results show that the first two models represent special cases of the third one. The paper also presents a new equity and debt valuation method. Keywords: Structural model, Financial statement, Equity, EBIT, Mean reversion, Contingent claim, Convergence.
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Li, Chao, Cai Qin Ye, Dan Zhao, Lan Mou, and Da Liu. "Low-Carbon Economic Benefits Evaluation for Power Generation Projects with Improved TOPSIS Method Based on Combination Weighting." Applied Mechanics and Materials 278-280 (January 2013): 2143–47. http://dx.doi.org/10.4028/www.scientific.net/amm.278-280.2143.
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In the context of the low-carbon economy, economic benefits evaluations for power generation projects focus on the financial benefits and emphasize on the benefit from carbon-emission reduce. Thus, this paper firstly built an economic benefits evaluation index system for power generation projects based on low-carbon financial benefits and carbon-emission reduction efficiency. Then, it established an improved TOPSIS evaluation model based on orthogonal projection method and combination weighting which is determined by AHP subjectively and variation coefficient method objectively. Finally, the empirical analysis of wind power projects’ constructions verified the feasibility and effectiveness of the evaluation model using that new method.
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Šerpytis, Karolis, Vytautas Vengrauskas, and Zinaida Gineitienė. "EVALUATION OF FINANCIAL EFFECTS OF PUBLIC PROCUREMENT CENTRALISATION." Ekonomika 90, no. 3 (January 1, 2011): 104–19. http://dx.doi.org/10.15388/ekon.2011.0.932.
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One of the main goals of public procurement centralization is to generate monetary savings directly impacting the total costs of public institutions. It seems to be a remedy in economic downturn, but the impact of centralization may have both positive and negative financial effects. A central procurement organisation constitutes an additional link in the supply chain that makes the distance between the buyer and the supplier longer. Therefore, the existence of this link should be justified, and the evaluation of centralisation impact is one of the key tools in ensuring the procurement centralisation decisions to be beneficial to the state. The aim of the study was to formulate the model which would serve as a basis for evaluating the financial impact of centralised public procurement.
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Dokiienko, Larysa. "FINANCIAL SECURITY OF THE ENTERPRISE: AN ALTERNATIVE APPROACH TO EVALUATION AND MANAGEMENT." Journal Business, Management and Economics Engineering 19, no. 02 (October 7, 2021): 303–36. http://dx.doi.org/10.3846/bmee.2021.14255.
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Purpose – The main purpose of the article is to justify an alternative approach to assessing the level of financial security of the enterprises based on use the model of modified and adjusted financial statements. Research methodology – The following methods of general theoretical and empirical research were used in the writing of the article: abstract-logical (when systematizing scientific publications on the problems of financial security management of enterprises), comparisons and grouping (when developing and validating a model of modified financial statements), coefficient (when considering and using models for adjusting modified financial statements), grouping (when clustering enterprises depending on the results of the analysis), formalization (when developing a matrix for diagnosing the level of financial security of enterprises), generalization (when formulating research findings). Findings – Based on an established sample from nine of sunflower oil production enterprises of Ukraine their modified financial statements have been developed, it was adjusted to the consumer price index, key financial indicators of the model have been identified and the level of their financial security over the past 7 years have been assessed. The research identified a direct relationship between the level of financial security of enterprises and key financial indicators: financial stability, solvency and financial risk. Also, the proposed methodological approach can be not only an important tool for diagnosing the level of financial security of enterprises, but also its forecasting. Research limitations – The research limitation is associated with sampling size and geographical scope. Also, the diagnostic results may differ depending on the chosen adjustment base, determination of adjustment method and selection of inflation measurement method for the modification financial statements. Practical implications – Practical use of the proposed model proves that it is a convenient, simple, understandable and effective tool for diagnosing the financial security level of enterprises in terms of the main components: financial stability, solvency, and risk. The use of the proposed approach to the assessment of the financial security of the enterprise can serve as an indicator of the overall efficiency of its management at sunflower oil production enterprises and as an informative tool for factor analysis. Originality/Value – Consideration of a significantly different, alternative approach that allows enterprises to quickly and easily diagnose the level of their financial security; to manage it effectively during the current period, and can also become the basis for the formation of strategic directions of financial development and forecasting of the level of financial security for prospective period.
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Hasan, Md Kamrul, Takashi S. T. Tanaka, Md Rostom Ali, Chayan Kumer Saha, and Md Monjurul Alam. "Harvester Evaluation Using Real-Time Kinematic GNSS and Hiring Service Model." AgriEngineering 3, no. 2 (June 6, 2021): 363–82. http://dx.doi.org/10.3390/agriengineering3020024.
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To reduce human drudgery and the risk of labor shortages in the Asian developing countries, the appropriate introduction of agricultural machinery, especially combine harvesters, is an urgent task. Custom hiring services (CHSs) are expected to contribute to making paddy harvesters prevalent in developing countries; however, the economic performance has been rarely quantified. The study was carried out to precisely evaluate the machine performance attributes of medium and large combine harvesters using the real-time kinematic (RTK) global navigation satellite system (GNSS) and to estimate the economic performance of CHSs of paddy harvesters in Japan, as a typical case of Asian countries. The financial profitability was evaluated by four major indicators: net present value, benefit–cost ratio, internal rate of return, and payback period. The financial indicators showed that both types of harvester could be considered financially viable. Thus, the investment in combine harvesters can be highly profitable for CHS business by a local service provider and custom-hire entrepreneur, providing a great opportunity to use a combine harvester without initial investment by general farmers. The findings demonstrated the high feasibility of CHSs of paddy harvesters in Japan, while they highlighted that further study is needed to estimate the feasibility of CHS in the other Asian developing countries.
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Chen, You Shyang. "Building a Hybrid Prediction Model to Evaluation of Financial Distress Corporate." Applied Mechanics and Materials 651-653 (September 2014): 1543–46. http://dx.doi.org/10.4028/www.scientific.net/amm.651-653.1543.
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Exploring financial distress activity within a listed target of stock markets focused on creating such prediction models can provide insight into the technological requirements of corporate and the demands placed upon a stock investor in this field. This study integrates professional knowledge to financial ratios into the emerging soft computing techniques for building up a hybrid corporate distress prediction of early warning systems in regarding application fields. Conclusively, the empirical results indicate that the proposed procedure is a great potential alternative of helpful hybrid models to demonstrate its technological merit and application value, and it has increasing the application filings. In terms of managerial implications, the analysis results may be relevant to other types of prediction models seeking to identify financial ratios for the planning processes.