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Journal articles on the topic 'Financial engineering'

Author: Grafiati
Published: 4 June 2021
Last updated: 30 July 2024

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1

Repovž, Leon. "Project financing and financial engineering." International Journal of Project Management 6, no. 3 (August 1988): 171–77. http://dx.doi.org/10.1016/0263-7863(88)90044-0.

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2

Chen, Mu-Yen. "Financial Engineering." Neurocomputing 72, no. 16-18 (October 2009): 3411–12. http://dx.doi.org/10.1016/j.neucom.2009.04.019.

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3

Guendouz, Abdelkarim. "Islamic Financial Engineering." Journal of King Abdulaziz University-Islamic Economics 20, no. 2 (2007): 3–46. http://dx.doi.org/10.4197/islec.20-2.5.

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4

Ghysels, Eric, and George Tauchen. "Frontiers of financial econometrics and financial engineering." Journal of Econometrics 116, no. 1-2 (September 2003): 1–7. http://dx.doi.org/10.1016/s0304-4076(03)00101-5.

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5

Gatheral, Jim, and Dan Stefanica. "Careers in Financial Engineering." Notices of the American Mathematical Society 66, no. 04 (April 1, 2019): 1. http://dx.doi.org/10.1090/noti1841.

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6

Seydel, R. "Nonlinearities in Financial Engineering." GAMM-Mitteilungen 32, no. 1 (June 2009): 121–32. http://dx.doi.org/10.1002/gamm.200910009.

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7

Esokomi, Emily, and Willys Otuya. "Financial Re-Engineering and Financial Performance of Saccos." International Journal of Finance and Accounting 5, no. 1 (April 23, 2020): 19. http://dx.doi.org/10.47604/ijfa.1069.

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Purpose: The current study sought to establish the trends in financial re-engineering and financial performance of SACCOs and present existing knowledge gaps that need to be filled based on studies done in other contexts. Methodology: The study adopted a desktop literature review method (desk study). This involved an in-depth review of studies related to financial re-engineering and its effects on financial performance of SACCOs. Three sorting stages were implemented on the subject under study that is financial reengineering and financial performance of SACCOs, in order to determine the viability of the subject for research. After an in-depth search into the top key words (financial strategies, financial innovation, financial reengineering and financial performance of SACCOs), the researcher arrived at 15 articles that were suitable for analysis. Results: The study noted that from the survey, majority of the studies were based and cited most between the year 2012 and 2018, implying the relevance of the subject in the current decade. From the analysis, most of the publications on financial reengineering and financial performance of SACCOs, were from the renowned Journal published under various journal platforms. This is an indication of the credibility of the subject under review by many scholars. In addition, the survey provides evidence as to why the subject under review is of importance in the African context since majority of the studies under review were from the European and Asian regions. A trend analysis was conducted indicating that over the period the studies were researched. Financial reengineering and performance subject have been receiving the concerns by various authors. This was drawn from the upwards increasing trend in the subject of the study since 2012 to 2019. The survey likewise found that descriptive research design was the trending technique to survey studies on financial reengineering and performance. Majority of the studies from the analysis revealed a positive relationship between financial reengineering and financial performance of SACCOs. Unique contribution to theory, practice and policy: Based on the survey findings, the study recommended that financial reengineering effect on financial performance in SACCOs is a maiden study that other authors from other parts can use to base future studies on. Findings from this study may be used to shape policy in the area of managing financial performance in SACCOs. Currently, the existing financial strategies are weak, not standard and not competitive since the competition from other related financial institutions is stiff. The findings would help to further develop an adaptive strategy for to step up in the competition in the financial sector.
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8

Smith, Kurt. "The Financial Economic Risk in Financial Engineering Models." Wilmott 2015, no. 79 (September 2015): 50–55. http://dx.doi.org/10.1002/wilm.10447.

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9

Triantis, Alexander J., Scott P. Mason, Robert C. Merton, Andre F. Perold, and Peter Tufano. "Cases in Financial Engineering: Applied Studies of Financial Innovation." Journal of Finance 50, no. 5 (December 1995): 1780. http://dx.doi.org/10.2307/2329338.

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10

Liu, Yuxuan. "Analysis on Corporate Financial Engineering and Financial Management Innovation." Financial Forum 9, no. 3 (September 10, 2020): 141. http://dx.doi.org/10.18282/ff.v9i3.1085.

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Corporate financial engineering refers to the use of advanced mathematical and communication techniques to solve financial problems for the maximization of company’s own interests. The techniques are used for innovative designs regarding financial tools and means, and also for devising and implementing financial products. As for corporate financial management, it is the basic guarantee for operating a company. For both the company and its internal and external activities, the support from financial management is inseparable. Financial management is an important link to balance the benefits and costs generated in the process of corporate operation. This article analyzes and explores the effects of the application of financial engineering in financial management.
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11

Stonham, Paul. "Financial engineering: Tools and techniques to manage financial risk." European Management Journal 13, no. 4 (December 1995): 456–57. http://dx.doi.org/10.1016/0263-2373(95)90045-4.

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12

Rola, Rinki, and Vinod Varghese. "Financial Re-Engineering: An Innovative Initiative for Financial Inclusion." JIMS8M: The Journal of Indian Management & Strategy 22, no. 1 (2017): 20. http://dx.doi.org/10.5958/0973-9343.2017.00003.5.

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13

Zhao, Guangbao Guo &. Weidong. "Schwarz Method for Financial Engineering." Journal of Computational Mathematics 39, no. 4 (June 2021): 515–32. http://dx.doi.org/10.4208/jcm.2003-m2018-0115.

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14

Koo, Hyeng Keun, and Gyoocheol Shim. "The crisis and financial engineering." Risk and Decision Analysis 2, no. 3 (2011): 161–70. http://dx.doi.org/10.3233/rda-2011-0040.

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15

Farrell, Michael. "Financial Engineering in Project Management." Project Management Journal 33, no. 1 (March 2002): 27–36. http://dx.doi.org/10.1177/875697280203300106.

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16

Smith, Donald J. "THE ARITHMETIC OF FINANCIAL ENGINEERING." Journal of Applied Corporate Finance 1, no. 4 (January 1989): 49–58. http://dx.doi.org/10.1111/j.1745-6622.1989.tb00173.x.

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17

Fagnan, David E., Jose Maria Fernandez, Andrew W. Lo, and Roger M. Stein. "Can Financial Engineering Cure Cancer?" American Economic Review 103, no. 3 (May 1, 2013): 406–11. http://dx.doi.org/10.1257/aer.103.3.406.

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Traditional financing sources such as private and public equity may not be ideal for investment projects with low probabilities of success, long time horizons, and large capital requirements. Nevertheless, such projects, if not too highly correlated, may yield attractive risk-adjusted returns when combined into a single portfolio. Such “megafund” portfolios may be too large to finance through private or public equity alone. But with sufficient diversification and risk analytics, debt financing via securitization may be feasible. Credit enhancements (i.e., derivatives and government guarantees) can also improve megafund economics. We present an analytical framework and illustrative empirical examples involving cancer research.
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18

Clarke, Chris. "FINANCIAL ENGINEERING, NOT ECONOMIC PHOTOGRAPHY." Journal of Cultural Economy 5, no. 3 (August 2012): 261–78. http://dx.doi.org/10.1080/17530350.2012.674964.

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19

Broadie, Mark, Emanuel Derman, Paul Glasserman, and Steven Kou. "Financial engineering at Columbia University." Quantitative Finance 12, no. 1 (January 2012): 11–14. http://dx.doi.org/10.1080/14697688.2011.635002.

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20

Yoo, Shi-Yong, and Sahm Kim. "Financial Engineering Education in Korea." Korean Journal of Applied Statistics 21, no. 5 (October 31, 2008): 765–74. http://dx.doi.org/10.5351/kjas.2008.21.5.765.

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21

Iqbal, Zamir. "Financial engineering in Islamic finance." Thunderbird International Business Review 41, no. 4-5 (July 1999): 541–59. http://dx.doi.org/10.1002/tie.4270410414.

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22

Kelly, Michael. "Symbolic Computation in Financial Engineering." Wilmott 2020, no. 110 (November 2020): 10–25. http://dx.doi.org/10.1002/wilm.10882.

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23

Pando Son. "Historical Review of Financial Engineering in the Financial Service Industry." Review of Business History 28, no. 1 (March 2013): 183–97. http://dx.doi.org/10.22629/kabh.2013.28.1.008.

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24

Atri, Preyaa. "Advancing Financial Inclusion through Data Engineering: Strategies for Equitable Banking." International Journal of Science and Research (IJSR) 11, no. 8 (August 5, 2022): 1504–6. http://dx.doi.org/10.21275/sr24422190134.

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25

Marlowe, Justin. "Public Financial Engineering and Its Discontents." Public Performance & Management Review 32, no. 4 (June 1, 2009): 626–30. http://dx.doi.org/10.2753/pmr1530-9576320413.

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26

Suwailem, Al. "Financial Engineering: An Islamic Perspective Sami." Sinergi 9, no. 1 (February 25, 2007): 87–102. http://dx.doi.org/10.20885/sinergi.vol9.iss1.art6.

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27

Bodie, Zvi. "Applying Financial Engineering to Wealth Management." AIMR Conference Proceedings 2003, no. 6 (July 31, 2003): 3–8. http://dx.doi.org/10.2469/cp.v2003.n6.3331.

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28

Chiu, Dickson K. W., Patrick C. K. Hung, and Kevin Kwok. "Engineering Financial Enterprise Content Management Services." International Journal of Systems and Service-Oriented Engineering 1, no. 2 (April 2010): 86–113. http://dx.doi.org/10.4018/jssoe.2010040106.

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The demand is increasing to replace the current cost ineffective and bad time-to-market hardcopy publishing and delivery of content in the financial world. Financial Enterprise Content Management Services (FECMS) have been deployed in intra-enterprises and over the Internet to network with customers. This paper presents Web service technologies that enable a unified scalable FECMS framework for intra-enterprise content flow and inter-enterprise interactions, combining existing sub-systems and disparate business functions. Additionally, the authors demonstrate the key privacy and access control policies for internal content flow management (such as content editing, approval, and usage) as well as external access control for the Web portal and institutional programmatic users. Through the modular design of an integrated FECMS, this research illustrates how to systematically specify privacy and access control policies in each part of the system with Enterprise Privacy Authorization Language (EPAL). Finally, a case study in an international banking enterprise demonstrates how both integration and control can be achieved.
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29

Terdik, György. "Optimal statistical inference in financial engineering." Journal of Time Series Analysis 32, no. 1 (December 12, 2010): 92. http://dx.doi.org/10.1111/j.1467-9892.2010.00661.x.

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30

Derman, Emanuel. "Principles of Financial Engineering (a review)." Financial Analysts Journal 61, no. 1 (January 2005): 84–85. http://dx.doi.org/10.2469/faj.v61.n1.2689.

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31

Sukardi, Sukardi. "FINANCIAL ENGINEERING SEBAGAI INSTRUMEN AKTIVITAS HEDGING." Jurnal Aplikasi Bisnis 6, no. 8 (February 20, 2005): 668–79. http://dx.doi.org/10.20885/jabis.vol6.iss8.art6.

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32

Taylor, D. Hugh, and Melville Hensey. "Financial Issues in Engineering Management: Interview." Journal of Management in Engineering 6, no. 2 (April 1990): 157–61. http://dx.doi.org/10.1061/(asce)9742-597x(1990)6:2(157).

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33

Yu, Lean, Shouyang Wang, and K. K. Lai. "Intelligent Computational Methods for Financial Engineering." Journal of Applied Mathematics and Decision Sciences 2009 (September 15, 2009): 1–2. http://dx.doi.org/10.1155/2009/394731.

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34

G. Turvey, Calum, Joshua Woodard, and Edith Liu. "Financial engineering for the farm problem." Agricultural Finance Review 74, no. 2 (July 1, 2014): 271–86. http://dx.doi.org/10.1108/afr-05-2014-0010.

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Purpose – The purpose of this paper is to provide a general discussion of how techniques from financial engineering can be used to investigate the economic costs of farm programs and to aid in the design of new financial products to implement margin protection for dairy farmers. Specifically the paper investigates the Milk Income Loss Contract (MILC) and the Dairy Margin Protection (DMP) program. In addition the paper introduces the concept of the Milk to Corn Price ratio to protect margins. Design/methodology/approach – The paper introduces and reviews the tools of financial engineering. These include the stochastic calculus and Itô's Lemma. The empirical tool is Monte Carlo simulations. The approach is part pedagogy and part practice. Findings – In this paper the authors illustrate how financial engineering can be used to price complex price stabilization formula in the USA and to illustrate its use in the design of new products. Practical implications – In this paper the authors illustrate how financial engineering can be used to price complex price stabilization formula in the USA and to illustrate its use in the design of new products. Social implications – Farm programs designed to protect dairy farmers margins are designed in a seemingly ad hoc fashion. Assessments of programs such as MILC or DMP are conducted on an ex-post basis using historical data. The financial engineering approach presented in this paper provides the means to add significant depth to the assessment of such programs which can be used in conjunction with Monte Carlo simulation to identify alternative model structures before they are written into law. Originality/value – This paper builds upon an existing literature. Its originality is in the application of financial engineering techniques to farm dairy policy.
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35

Ashton, Philip, Marc Doussard, and Rachel Weber. "The Financial Engineering of Infrastructure Privatization." Journal of the American Planning Association 78, no. 3 (July 2012): 300–312. http://dx.doi.org/10.1080/01944363.2012.715540.

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36

Rose, Judah, Shanthi Muthiah, and Maria Fusco. "Financial engineering in the power sector." Electricity Journal 10, no. 1 (January 1997): 79–86. http://dx.doi.org/10.1016/s1040-6190(97)80301-6.

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37

Howison, Sam. "Matched Asymptotic Expansions in Financial Engineering." Journal of Engineering Mathematics 53, no. 3-4 (December 2005): 385–406. http://dx.doi.org/10.1007/s10665-005-7716-z.

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38

Yalamova, Rossitsa. "Financial Engineering in Complex Dynamic Systems." Financial Engineering 1 (November 28, 2023): 345–52. http://dx.doi.org/10.37394/232032.2023.1.32.

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This paper explores the dynamic nature of financial markets through the lens of complex adaptive systems (CAS) theory, aiming to provide a comprehensive understanding of how financial markets deviate from the Efficient Market Hypothesis in extreme events such as bubbles and crashes. Traditional economic models often struggle to capture the intricate dynamics of 'self-organizing' financial markets, particularly the interaction between supply and demand in the face of evolving risks. CAS theory offers a promising framework for modeling asset prices, emphasizing the interconnectedness and adaptability of various agents within the system. The literature review highlights the significance of CAS theory in understanding the collective adaptation that emerges from interactions among heterogeneous agents. Notably, researchers such as Holland (1995) and Axelrod (1997) have demonstrated how simple agent-level rules can lead to sophisticated, self-organizing behaviors at the system level, resulting in more efficient outcomes. This paper also discusses the pivotal role of financial engineering in enhancing the adaptive capacity of socioeconomic systems under extreme stress. In an increasingly unpredictable world characterized by natural disasters, economic crises, and other unforeseen events, risk management serves as a vital mechanism for volatility mitigation and financial protection. By spreading risk collectively through hedging strategies, financial engineering not only provides portfolio security but also contributes to the resilience of financial and economic systems. By merging insights from CAS theory and the role of financial engineering in increasing adaptive capacity, this paper contributes to a more comprehensive understanding of the risk dynamics in financial markets impacting economic activities. Financial engineering tools mitigate negative shocks and reduce the severity of recessionary cycles. An attempt is made to explain how collective adaptation can lead to more efficient risk management and pricing, ultimately helping policymakers, fund managers, and researchers navigate the complexities of modern financial markets and fortify socioeconomic systems against extreme stressors.
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39

Sbeyti, Hawraa. "ISLAMIC FINANCIAL ENGINEERING AS AN ENTRANCE TO AN ISLAMIC FINANCIAL MARKET." International Journal of Advanced Research 8, no. 02 (February 29, 2020): 1239–55. http://dx.doi.org/10.21474/ijar01/10573.

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40

Markowitz, Harry M. "Modern Portfolio Theory, Financial Engineering, and Their Roles in Financial Crises." CFA Institute Conference Proceedings Quarterly 26, no. 4 (December 2009): 1–6. http://dx.doi.org/10.2469/cp.v26.n4.6.

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41

Khalatur, S., O. Honcharenko, and N. Homuk. "FINANCIAL ENGINEERING TOOLS FOR COMPREHENSIVE ASSESSMENT OF FINANCIAL STATUS OF ENTERPRISES." Ekonomika ta derzhava, no. 1 (February 2, 2022): 39. http://dx.doi.org/10.32702/2306-6806.2022.1.39.

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42

Xie, Xi. "On the Practical Application of Financial Engineering in Corporate Financial Management." Financial Forum 9, no. 3 (September 10, 2020): 137. http://dx.doi.org/10.18282/ff.v9i3.1074.

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<p align="justify">The proportion of income and operating expenses will be out of balance once there is no appropriate financial management on the basic finance of corporate operation. The improving of corporate financial management has become the focus of many companies, especially for modern enterprises of strong competitiveness. However, many Chinese companies still adopt traditional financial management techniques, and their effects of risk management are obviously decreasing. Financial engineering is beneficial to the implementation of company’s new management plans. It is essential and plays a critical role in all aspects of business operations. Improvement and innovation should also be made with effort in the process of application.</p>
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43

Cummins, Mark, Orla McCullagh, and Bernard Murphy. "Model Risk in Financial Markets: From Financial Engineering to Risk Management." Quantitative Finance 16, no. 9 (July 14, 2016): 1333–37. http://dx.doi.org/10.1080/14697688.2016.1204709.

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44

Dada, Samuel Olajide, Ishola Rufus Akintoye, and Olufemi Peter Alawode. "Financial Re-Engineering and Financial Performance of Poultry Business in Nigeria." European Journal of Accounting, Auditing and Finance Research 11, no. 4 (March 15, 2023): 60–86. http://dx.doi.org/10.37745/ejaafr.2013/vol11n46086.

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The poultry industry as the largest employer of labour in the organised private sector and contributes 25% to Nigeria GDP. Previous studies had not adequately been able to integrate the process of capturing performance of poultry business using the balanced scorecard performance pillars. Thus, this study examined the impact of financial re-engineering on corporate performance and the sub-variables of the poultry business in Nigeria. The study used survey research. 4,324 active farmers and major stakeholders in the poultry industry from Nigeria's six geopolitical zones made up the study's population. The Taro Yamane sample size formula was used to determine the sample size of 450 with a response rate of 84%. The range of the constructs' Cronbach's alpha reliability coefficients was 0.87 to 0.95. The data were analyzed using descriptive and inferential (multiple regression) analysis with a 5% level of significance. The findings revealed that all financial re-engineering proxies had a significant effect on financial performance (Adj. R2= 0.535, F(5,379) = 87.901, p < 0.05).The study concluded that the study concluded that financial re-engineering has significant effect on financial performance of the poultry business while the lag in the adoption of modern technology including the usage of artificial intelligence and robotics reflected in sub-optimal performance which need be focused for effective asset utilisation. The study recommended the introduction of standards that will aid the starting point of using financial results to drive the business and make credit availability easier in support of various government and non-governmental aids and grants.
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45

Berest, Maryna, and Ljubov Merenkova. "Evaluation and analysis of factors influencing the financial sustainability of engineering enterprises." Economics of Development 18, no. 3 (December 6, 2019): 1–11. http://dx.doi.org/10.21511/ed.18(3).2019.01.

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Financial sustainability is one of the most important characteristics of an enterprise's financial position. It determines the level of the company independence from external entities and sources of financing, and, in turn, is conditioned by a set of multifaceted factors. In the case of negative influence of the external environment, engineering enterprises require research and selection of factors of influence on financial sustainability, which are formed in the internal environment of their functioning. The content analysis of definitions of the &quot;financial stability of an enterprise&quot; concept is carried out. Given the analysis results, the key informative characteristics of the enterprises are emphasized, such as state and structure of financial resources, solvency and profitability of the enterprise. In the context of selected areas and based on comparative analysis of literature sources and methods recommended at the state level for assessing the enterprise financial status, the study has formed a list of coefficients, the calculation and analysis of which is appropriate in evaluating assessment of financial enterprises. Using regression analysis, the study has revealed factors that most significantly influence the level of financial sustainability of engineering enterprises. It is established that the level of financial stability of the mechanical engineering industry enterprises in Kharkiv region is mainly influenced by the level of security of current liabilities of enterprises with financial current assets, the ability of enterprise assets to generate net profit and the share of equity in the financing sources structure. Therefore, to ensure the financial sustainability of engineering companies, management should take measures to ensure that they have a sufficient level of financial assets to cover their current liabilities and to optimize financial results in the context of increased net profit.
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46

Jenčová, Sylvia, Róbert Štefko, and Petra Vašaničová. "Scoring Model of the Financial Health of the Electrical Engineering Industry’s Non-Financial Corporations." Energies 13, no. 17 (August 24, 2020): 4364. http://dx.doi.org/10.3390/en13174364.

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The aim of this paper is to estimate the probability of bankruptcy of the companies from the Slovak electrical engineering industry based on data obtained from financial statements. Parameters of the predictive model were estimated using binary logistic regression. This model is able to predict the probability of a company’s bankruptcy based on values of significant explanatory variables (accounts payable turnover ratio (APTR), return on sales (ROS), quick ratio (QR), financial leverage (FL), net working capital/assets (NWC/A)). The model is constructed using the financial data of a large sample of electrical engineering companies from 2017. Resulting estimated odds ratios show that, in the electrical engineering industry, ROS, QR, and NWC/A significantly reduce the likelihood of bankruptcy. In other words, if these financial indicators increase, the probability of bankruptcy decreases. Our results are also applicable to other industries connected with industrial production, especially the mechanical engineering industry.
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47

V, Dattatreya. "An Integrated Approach for Re-Engineering High Quality Financial Management Systems." Journal of Advanced Research in Dynamical and Control Systems 12, SP8 (July 30, 2020): 370–81. http://dx.doi.org/10.5373/jardcs/v12sp8/20202535.

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48

Hibiki, Norio. "Preface(Special Issue on "Theory, Methodology and Applications in Financial Engineering")." Journal of the Operations Research Society of Japan 45, no. 4 (2002): 343. http://dx.doi.org/10.15807/jorsj.45.343.

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49

Qiu, Linhui. "Preliminary Conception of Financial Decision Knowledge Engineering." E3S Web of Conferences 251 (2021): 03049. http://dx.doi.org/10.1051/e3sconf/202125103049.

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In the era of digital economy, the intelligence of enterprise financial management has an important influence on the effect of enterprise financial activities. At present, the application of intelligent financial system and software focuses on providing analysis information for financial decision-making, and cannot effectively give complete financial decision-making suggestions, nor does it combine with enterprise strategy. This paper puts forward the idea of constructing knowledge engineering of financial decisionmaking based on frame, and uses frame representation to express the knowledge of financial decisionmaking and enterprise strategy, so as to promote the combination of intelligent financial decision-making and enterprise strategy, and promote the intelligence of enterprise financial decision-making through knowledge engineering.
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50

Cheng, Lester. "FAS 133 Option Fair Value Hedges: Financial Engineering and Financial Accounting Perspectives." CFA Digest 33, no. 2 (May 2003): 46–47. http://dx.doi.org/10.2469/dig.v33.n2.1271.

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