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Journal articles on the topic 'Modeling of financial potential'

Author: Grafiati

Published: 30 May 2022

Last updated: 31 July 2025

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1

Tiutiunyk, Inna, and Iryna Kozhushko. "Modeling the Impact of Shadow Financial Transactions on the Country’s Financial Potential." Financial Markets, Institutions and Risks 6, no. 4 (2022): 134–43. http://dx.doi.org/10.21272/fmir.6(4).134-143.2022.

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The article summarizes the arguments and counterarguments within the scientific debate on the issue of raising the level of the country’s financial potential. The main goal of the conducted research is to model the impact of shadow operations on the level of the country’s financial potential. Analysis of the dynamics of publication activity on issues of the shadow economy and financial potential in publications indexed by the Scopus and Web of Science databases, bibliometric analysis of the connection between the concept of the shadow economy and other economic categories made it possible to i

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2

Daneshkhah, Alireza, Amin Hosseinian-Far, Omid Chatrabgoun, Tabassom Sedighi, and Maryam Farsi. "Probabilistic Modeling of Financial Uncertainties." International Journal of Organizational and Collective Intelligence 8, no. 2 (2018): 1–11. http://dx.doi.org/10.4018/ijoci.2018040101.

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Since the global financial crash, one of the main trends in the financial engineering discipline has been to enhance the efficiency and flexibility of financial probabilistic risk assessments. Creditors could immensely benefit from such improvements in analysis hoping to minimise potential monetary losses. Analysis of real world financial scenarios require modeling of multiple uncertain quantities with a view to present more accurate, near future probabilistic predictions. Such predictions are essential for an informed decision making. In this article, the authors extend Bayesian Networks Pair

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Kosteniuk, Iu B. "Modeling of Enterprise Potential for Development of Management Strategies." Statistics of Ukraine 87, no. 4 (2020): 21–27. http://dx.doi.org/10.31767/su.4(87)2019.04.03.

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The conducted research is concerned with the evaluation of various elements of the potential and the determination of their influence on the competitive behavior of the enterprise. Using the graphical method "Polygon of potential" the efficiency of various elements of the enterprise potential is determined. The performed modeling makes it possible to systematically establish quantitative and qualitative links between individual elements of the potential, the level of its development and competitiveness and on that basis to justify and timely implement strategies for managing the enterpri

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Ostapenko, Oleksandr, and Oles Koval. "The Probability of the Military Potential Increase: Financial and Economic Factors." Journal of Scientific Papers "Social development and Security" 15, no. 2 (2025): 248–63. https://doi.org/10.33445/sds.2025.15.2.20.

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Purpose: To model financial and economic indicators and determine their real impact on Ukraine’s military power (military potential). Method: Non-linear modelling. Findings: The results of the preliminary exploratory data analysis indicate that it is advisable to use the following variables for modelling: business environment and credit. Thus, an increase in the business environment indicator (improvement in the following parameters: stability of economic policy for doing business; economic policy and entrepreneurship culture) adds 3.64% to the probability of improving the military potential r

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Titilayo Deborah Olorunyomi, Titilope Tosin Adewale, and Theodore Narku Odonkor. "Dynamic risk modeling in financial reporting: Conceptualizing predictive audit frameworks." International Journal of Frontline Research in Multidisciplinary Studies 1, no. 2 (2022): 094–112. https://doi.org/10.56355/ijfrms.2022.1.2.0057.

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Dynamic risk modeling in financial reporting has emerged as a transformative approach to enhance the accuracy, transparency, and reliability of audits in an increasingly complex financial environment. This study conceptualizes a predictive audit framework that integrates advanced technologies, such as machine learning (ML) and artificial intelligence (AI), to identify, assess, and mitigate financial risks in real time. Traditional audit processes often rely on static evaluations, which fail to account for evolving risk factors and data interdependencies. Predictive audit frameworks, by contras

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Omowole, Bamidele Michael, Hope Ehieghe Omokhoa, Ibidapo Abiodun Ogundeji, and Godwin Ozoemenam Achumie. "Dynamic Risk Modeling in Financial Reporting: Conceptualizing Predictive Audit Frameworks." International Journal of Social Science Exceptional Research 1, no. 1 (2022): 158–72. https://doi.org/10.54660/ijsser.2022.1.1.158-172.

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Dynamic risk modeling in financial reporting has emerged as a transformative approach to enhance the accuracy, transparency, and reliability of audits in an increasingly complex financial environment. This study conceptualizes a predictive audit framework that integrates advanced technologies, such as machine learning (ML) and artificial intelligence (AI), to identify, assess, and mitigate financial risks in real time. Traditional audit processes often rely on static evaluations, which fail to account for evolving risk factors and data interdependencies. Predictive audit frameworks, by contras

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Georgieva, Penka V. "Genetic Fuzzy System for Financial Management." Cybernetics and Information Technologies 18, no. 2 (2018): 20–35. http://dx.doi.org/10.2478/cait-2018-0025.

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Abstract This paper discusses genetic fuzzy systems – hybrid systems of artificial intelligence combining the potential of fuzzy sets for modeling approximate reasoning with the abilities of genetic algorithms for finding optimal solutions. The use of genetic algorithms for optimizing the parameters of a fuzzy system is demonstrated on GFSSAM.

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Nneka Adaobi Ochuba, Olukunle Oladipupo Amoo, Enyinaya Stefano Okafor, Favour Oluwadamilare Usman, and Olatunji Akinrinola. "CONCEPTUAL DEVELOPMENT AND FINANCIAL ANALYTICS FOR STRATEGIC DECISION-MAKING IN TELECOMMUNICATIONS, FOCUSING ON ASSESSING INVESTMENT OPPORTUNITIES AND MANAGING RISKS IN SATELLITE PROJECTS." International Journal of Management & Entrepreneurship Research 6, no. 3 (2024): 594–607. http://dx.doi.org/10.51594/ijmer.v6i3.847.

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Conceptual development and financial analytics are critical components of strategic decision-making in the telecommunications industry, particularly in assessing investment opportunities and managing risks in satellite projects. This Review provides an overview of the key concepts and approaches used in this context. In the telecommunications sector, especially in satellite projects, conceptual development involves the creation and refinement of strategic plans and objectives. This process includes identifying market opportunities, defining project goals, and developing strategies to achieve t

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Zulfikar, Z., and Wahyuni Sri. "The impact of discretionary loan loss provision of sharia financing on financial performance." Banks and Bank Systems 14, no. 4 (2019): 34–41. http://dx.doi.org/10.21511/bbs.14(4).2019.04.

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This study aims to investigate the role of discretionary loan loss provision of sharia financing on the Islamic commercial banks’ financial performance in Indonesia. Partial Least Squares-Structural Equation modeling (PLS-SEM) is used to examine the relationship between loan loss provisions and financial performance in 13 Islamic commercial banks for 4.5 years. The analysis of the outer model shows that the probability of default and loss given default are determinants of loan loss provision, while financial performance is determined by return on assets, non-performing financing, net operating

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Londar, Serhii, and Liudmila Kozarezenko. "Modeling of the Excise Taxation Influence on Components of Human Potential." Oeconomia Copernicana 5, no. 4 (2014): 95–116. http://dx.doi.org/10.12775/oec.2014.029.

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The purpose of the research is analysis of a model of influence of excise tax rate increase for tobacco products in Ukraine on financial indices of state funds, prevalence of tobacco smoking, and indices of society health. Due to the results of research, the author determined the opportunities of the excise tax for tobacco smoking prevalence regulation in Ukraine. The dynamics of changes of specific and ad valorem rates of the excise tax and the dynamics of its contribution to the revenues of the State Budget of Ukraine were analyzed. The author estimated the changes of tobacco smoking prevale

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Olakojo Yusuff Ogunsola, Yetunde Adenike Adebayo, Ikiomoworio Nicholas Dienagha, Nwakamma Ninduwezuor-Ehiobu, and Zamathula Sikhakhane Nwokediegwu. "Developing advanced financial models for evaluating large-scale renewable energy and infrastructure projects in developing economies." Open Access Research Journal of Science and Technology 1, no. 2 (2021): 035–43. https://doi.org/10.53022/oarjst.2021.1.2.0028.

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Large-scale renewable energy and infrastructure projects hold significant potential for driving economic growth and sustainable development in developing economies. However, these projects face numerous challenges, including political instability, limited financial markets, and technical barriers. This paper explores the critical role of advanced financial modeling in addressing these challenges and enhancing project evaluation. It discusses theoretical foundations, innovative approaches, and strategies tailored to renewable energy-specific parameters, such as energy yield and carbon offset va

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Zhu, Jielin, Marco Pollanen, Kenzu Abdella, and Bruce Cater. "Modeling Drought Option Contracts." ISRN Applied Mathematics 2012 (April 11, 2012): 1–16. http://dx.doi.org/10.5402/2012/251835.

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We introduce a new financial weather derivative—a drought option contract—designed to protect agricultural producers from potential income loss due to agricultural drought. The contract is based on an index that reflects the severity of drought over a long period. By modeling temperature and precipitation, we price a hypothetical drought contract based on data from the Jinan climate station located in a dry region of China.

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Oz, Ibrahim Onur, and Tezer Yelkenci. "A theoretical approach to financial distress prediction modeling." Managerial Finance 43, no. 2 (2017): 212–30. http://dx.doi.org/10.1108/mf-03-2016-0084.

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Purpose The purpose of this paper is to examine a theoretical base for the financial distress prediction modeling over eight countries for a sample of 2,500 publicly listed non-financial firms for the period from 2000 to 2014. Design/methodology/approach The prediction model derived through the theory has the potential to produce prediction results that are generalizable over distinct industry and country samples. For this reason, the prediction model is on the earnings components, and it uses two different estimation methods and four sub-samples to examine the validity of the results. Finding

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Ding, Shiyun. "Research on the 2008 Financial Crisis Regarding Financial Network." Advances in Economics, Management and Political Sciences 56, no. 1 (2023): 26–33. http://dx.doi.org/10.54254/2754-1169/56/20231049.

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The rapid withdrawal in the financial market due to the collapse of Silicon Valley Banks in 2023 brought reflections on the 2008 financial crisis. Past research has focused on modeling different types of financial networks that help explain bankruptcys contagion process. This paper discusses how these networks help to explain the 2008 financial crisis, followed by shedding light on the global impacts (European, Latin American, and Asian markets) of the crisis in terms of networks. The last section further discusses potential policies that could be used to prevent or predict severe contagion de

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Włodarczyk, Bogdan, and Marek Szturo. "Identification and Monitoring of Instability in Financial Systems." Olsztyn Economic Journal 11, no. 2 (2016): 177–88. http://dx.doi.org/10.31648/oej.2919.

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Financial instability is often the result of a positive feedback loop, which is an inseparable element of the functioning of the financial system. The task dealing with identification, modeling and analyzing the causes and effects of such feedback loops requires assuming a systems' engineering perspective, which is rarely taken into consideration when designing remedial solutions. The aim of the study was to evaluate how it ispossible to identify and monitor the susceptibility of a financial system to potential threats. The popular method of data modeling known as signed directed graphs (SDG)

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Oluwasola, Emmanuel Adesemoye, C. Chukwuma-Eke Ezinne, Iyabode Lawal Comfort, Joan Isibor Ngozi, Oyeronke Akintobi Abiola, and Sophia Ezeh Florence. "Comprehensive Review of Predictive Modeling and Risk Management Techniques in Financial Services." Engineering and Technology Journal 10, no. 04 (2025): 4626–48. https://doi.org/10.5281/zenodo.15314770.

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The financial services industry faces increasing complexities and uncertainties, making effective risk management and predictive modeling critical for ensuring stability and profitability. This comprehensive review explores the role of predictive modeling and risk management techniques in the financial sector, highlighting their applications in forecasting potential risks and optimizing decision-making processes. Predictive modeling, powered by advanced statistical methods and machine learning algorithms, enables financial institutions to forecast trends, detect anomalies, and predict the like

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Adetola Adewale Akinsulire, Courage Idemudia, Azubuike Chukwudi Okwandu, and Obinna Iwuanyanwu. "Dynamic financial modeling and feasibility studies for affordable housing policies: A conceptual synthesis." International Journal of Advanced Economics 6, no. 7 (2024): 288–305. http://dx.doi.org/10.51594/ijae.v6i7.1341.

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The escalating demand for affordable housing necessitates innovative approaches to financial modeling and feasibility analysis to ensure the success and sustainability of housing policies. This abstract presents a conceptual synthesis of dynamic financial modeling and feasibility studies, exploring their pivotal role in shaping effective affordable housing policies. Dynamic financial modeling involves creating flexible and adaptive financial models that account for varying economic conditions, policy changes, and market fluctuations. These models are essential for predicting financial outcomes

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18

ЧИКИН, И. Д., С. А. БАЛЯН, and В. В. ДРАГУЛЕНКО. "MODELING OF THE “CROWD” EFFECT IN FINANCIAL MARKETS." Экономика и предпринимательство, no. 10(159) (December 4, 2023): 1095–98. http://dx.doi.org/10.34925/eip.2023.159.10.223.

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Данная статья фокусируется на исследовании и моделировании феномена «поведенческой конгломерации» или «эффекта толпы» в контексте финансовых рынков. В рамках данного исследования подробно рассматриваются и анализируются многочисленные факторы, оказывающие влияние на поведенческие паттерны инвесторов. Особое внимание уделяется изучению того, как внешние информационные потоки и внутренние психологические механизмы способствуют формированию массовых поведенческих тенденций среди участников рынка. В статье также освещаются потенциальные риски и возможности, которые могут возникнуть в результате гр

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Oemar, Fahmi, Endri Endri, and Moh Taufan Nugroho. "The potential of paying zakat on income: Evidence from an emerging economy." Corporate Governance and Organizational Behavior Review 7, no. 2 (2023): 128–37. http://dx.doi.org/10.22495/cgobrv7i2p11.

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Countries with emerging economies, especially those with the largest Muslim population, have great potential for raising zakat funds, but their realization is still limited (Karim, 2010). Optimization of income zakat payments is supported by sound financial literacy, corporate support, and carrying out Sharia financial planning (Sevriana et al., 2022). This research investigates the potential of income zakat payments by examining three influencing factors: Islamic financial planning, perceptions of company support, and financial literacy. The research data was obtained through a survey of comp

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Smerichevska, S., I. Miahkykh, S. Yeletskykh, S. Borysova, and V. Bryzhnychenko. "Financial and economic narratives for evaluation of innovative potential of enterprises." Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu, no. 1 (February 28, 2022): 145–52. http://dx.doi.org/10.33271/nvngu/2022-1/145.

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Purpose. Development of a methodological approach to the assessment of the enterprise innovation strategy and its modeling. Methodology. During the research, we used general and special methods: systematization for generalization of theoretical bases, comparative analysis and synthesis in order to clarify concepts, formal-logistical for the formation of a methodological approach, graphic-analytical method for visual presentation of research results; empirical research for the study of innovation potential, simulation and multiple regression modeling for the formation of strategic guidelines. F

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Ignatius, Roni Setyawan, Ramli Ishak, and Listyarti Indra. "Categorical Modeling of Determinants of Financial Inclusion and Financial Literacy of Women MSMEs in Pacitan." Journal of Economics, Finance And Management Studies 06, no. 3 (2023): 1202–8. https://doi.org/10.5281/zenodo.7740599.

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Preliminary research data prior to the Covid-19 pandemic, namely that 150 women MSME had unique characteristics in terms of sociodemographic factors and levels of financial literacy and inclusion. It can be empirically proven that these three variables will have an important role in each other through the multiInomial logit categorical equation model according to the Bayar et al. research procedure. al. (2020). The important result to be achieved is that the researchers want to prove the business potential of women SMEs in Pacitan, which so far has not been exposed to BI UMKM as a common marke

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Choubar, Lyes, Nadir Yacine, and Hadjira Abdelmounaim. "MODELING THE EURO/DOLLAR EXCHANGE RATE USING EXTREME VALUE THEORY." International Journal of Professional Business Review 10, no. 3 (2025): e05375. https://doi.org/10.26668/businessreview/2025.v10i3.5375.

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Objective: This study examines the application of Extreme Value Theory (EVT) in economics to understand and manage rare, high-impact events that affect financial markets and economic stability. Theoretical framework: EVT provides a statistical foundation for modeling extreme variations in financial data, making it an essential tool for risk assessment and economic decision-making. By estimating the probability of extreme fluctuations, EVT enhances the understanding of financial risk exposure. Method: We analyze daily Eurodollar exchange rate data from January 1, 1999, to March 22, 2024, obtain

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Adegbite, Ayodeji. "Finance Modeling Approach Using Machine Learning." IOSR Journal of Economics and Finance 15, no. 5 (2024): 29–41. http://dx.doi.org/10.9790/5933-1505072941.

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The integration of machine learning (ML) into financial modeling represents a transformative shift in the finance sector, enhancing analytical capabilities and decision-making processes. This article explores the fundamental concepts of financial modeling and machine learning, illustrating how ML methodologies—both supervised and unsupervised—improve traditional financial models by enabling the analysis of extensive datasets to uncover intricate patterns. By leveraging historical data, ML enhances predictive accuracy in various applications, including risk assessment, algorithmic trading, cred

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Lisovska, Lidiya, Oleksandra Mrykhina, Andrii Terebukh, and Natalia Kozmuk. "MODELING OF FINANCIAL RESULTS OF SUBJECTS OF THE INNOVATION PROCESS IN THE REGION." Financial and credit activity problems of theory and practice 3, no. 44 (2022): 122–31. http://dx.doi.org/10.55643/fcaptp.3.44.2022.3720.

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The article develops and substantiates a methodological approach to modeling the results of innovative development of subjects of the regional business environment. The basic values of financial forecasting were indicators of the innovative potential of the business entity and indicators of the innovative attractiveness of the region.The system of indicators of innovation attractiveness of the region includes indicators of innovation activity of the region, social and economic indicators of regional development, indicators of innovative cooperation of the region, and indicators of internationa

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Ignatius, Roni Setyawan, and Listyarti Indra. "Multinomial Logit Modeling of Financial Inclusion and Financial Literacy of Women MSMEs in Tangerang." Journal of Economics, Finance And Management Studies 07, no. 09 (2024): 5908–14. https://doi.org/10.5281/zenodo.13822590.

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This research will examine the determinants of financial literacy and inclusion using sociodemographic variables of women MSMEs in Tangerang. The sociodemographic variables used are education, age, length of business, turnover, source of financing, type of savings, type of credit, credit ceiling, financial literacy score (OJK) and financial inclusion score (OJK). In Indonesia, there has been a lot of research on socio-demographic factors as determinants of financial literacy with mixed and unsatisfactory results, making it less reliable as a research reference. Some of the errors in previous r

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Pakhnovskaya, N. M. "Development of methodological support to assess the financial potential of a commercial organization." Economic Analysis: Theory and Practice 19, no. 12 (2020): 2336–57. http://dx.doi.org/10.24891/ea.19.12.2336.

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Subject. The number of companies filing for bankruptcy is growing. More often, the reason relates to resource imbalance, which is manifested in the lack of capacity to build-up resources. One of the key drivers of growth and development of any modern company is the availability of capital, which determines its financial potential. Objectives. The purpose of the study is to develop a methodology for assessing the financial potential of a commercial organization (an industrial enterprise in particular), based on characteristics of its determining factors. Methods. I employ general scientific met

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Andriychuk, Sergiy. "CRYPTOCURRENCY VOLATILITY AND RISK MODELING: MONTE CARLO SIMULATIONS, GARCH ANALYSIS, AND FINANCIAL MARKET INTEGRATION." Economics, Finance and Management Review, no. 1(21) (March 31, 2025): 98–115. https://doi.org/10.36690/2674-5208-2025-1-98-115.

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Cryptocurrencies have rapidly emerged as a significant financial asset class, influencing global monetary systems and financial markets. However, their extreme volatility, speculative nature, and evolving regulatory landscape pose challenges to investors, policymakers, and financial analysts. This study presents an in-depth quantitative analysis of cryptocurrency volatility and risk assessment, focusing on Bitcoin (BTC-USD) and its correlation with traditional financial assets, including the EUR/USD exchange rate and S&P 500 index. Our research employs Generalized Autoregressive Conditiona

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Hryhoruk, Pavlo Mykhailovych, Nila Anatoliivna Khrushch, and Olha Valeriivna Chuniak. "CONCEPTION OF MODELING THE SYSTEM OF ENSURING FINANCIAL ECONOMIC SECURITY." SCIENTIFIC BULLETIN OF POLISSIA, no. 1(17) (2019): 158–65. http://dx.doi.org/10.25140/2410-9576-2019-1(17)-158-165.

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Urgency of the research. Functioning of the mechanism of ensuring financial economic security within the system of strategic management of a business entity is based on the use of information and analytical support along with economic mathematical modeling. Target setting. Economic mathematical modeling has a significant cognitive potential to describe the laws and patterns of the studied systems functioning. Its use leads to the formation of the main tasks for ensuring the financial economic security system and the creation of the concept of modeling such a system as a theoretical foundation

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Kiker, Clyde, and Mark Lieblich. "Financial Analysis of On-Farm Grain Drying." Journal of Agricultural and Applied Economics 18, no. 2 (1986): 73–84. http://dx.doi.org/10.1017/s0081305200006129.

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AbstractArtificial drying of corn in the Southeastern Coastal Plain was shown to be financially feasible for average annual per farm production levels of greater than 10,000 bushels. Net present values for four types of drying systems were evaluated using simulation modeling in which weather conditions, yield levels, and prices were entered as stochastic variables. Scale of production and irrigation substantially influenced crop drying potential. Stochastic efficiency analysis was used to evaluate the riskiness of the investment.

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Yan, Qiao. "Analysis of Potential Ethical Risks and Countermeasures of AI+ Technology in Smart Finance Applications." Journal of Economics and Management Sciences 8, no. 3 (2025): p7. https://doi.org/10.30560/jems.v8n3p7.

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The deep integration of AI technology with the finance field has given rise to a new paradigm of smart finance applications, which have also given rise to complex ethical risks while enhancing the efficiency of financial decision-making. Data bias may lead to credit discrimination, black-box decision-making mechanisms weaken regulatory transparency, and risk transmission effects may trigger systemic financial vulnerability. Existing research focuses on technology optimization, but pays little attention to the quantitative assessment and dynamic governance of ethical risks. In this paper, we bu

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Julius Tumba, Ndaghu, Vincent A. Onodugo, Ekom Etim Akpan, and Gbenga Festus Babarinde. "Financial literacy and business performance among female micro-entrepreneurs." Investment Management and Financial Innovations 19, no. 1 (2022): 156–67. http://dx.doi.org/10.21511/imfi.19(1).2022.12.

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The poor performance of female entrepreneurs, exemplified in their inability to realize their full potential and compete fairly with their male counterparts owing to financial illiteracy, motivated this study. Therefore, this study examined the effect of financial literacy on business performance among female micro-entrepreneurs. Using the survey research design, data were collected from 247 female entrepreneurs from six states in the North-Eastern region of Nigeria. The hypotheses developed for the study were tested using path modeling-structural equation modeling with the aid of SmartPLS sof

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Abdul-Kareem, Ahmed Amer, Zaki T. Fayed, Sherine Rady, Salsabil Amin El-Regaily, and Bashar M. Nema. "Forecasting Financial Investment Firms’ Insolvencies Empowered with Enhanced Predictive Modeling." Journal of Risk and Financial Management 17, no. 9 (2024): 424. http://dx.doi.org/10.3390/jrfm17090424.

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In the realm of financial decision-making, it is crucial to consider multiple factors, among which lies the pivotal concern of a firm’s potential insolvency. Numerous insolvency prediction models utilize machine learning techniques try to solve this critical aspect. This paper aims to assess the financial performance of financial investment firms listed on the Iraq Stock Exchange (ISX) from 2012 to 2022. A Multi-Layer Perceptron predicting model with a parameter optimizer is proposed integrating an additional feature selection process. For this latter process, three methods are proposed and co

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Nica, Ionuț, Ștefan Ionescu, Camelia Delcea, and Nora Chiriță. "Quantitative Modeling of Financial Contagion: Unraveling Market Dynamics and Bubble Detection Mechanisms." Risks 12, no. 2 (2024): 36. http://dx.doi.org/10.3390/risks12020036.

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This study explored the complex interplay and potential risk of financial contagion across major financial indices, focusing on the Bucharest Exchange Trading Investment Funds Index (BET-FI), along with global indices like the S&P 500, Nasdaq Composite (IXIC), and Dow Jones Industrial Average (DJIA). Our analysis covered an extensive period from 2012 to 2023, with a particular emphasis on Romania’s financial market. We employed Autoregressive Distributed Lag (ARDL) modeling to examine the interrelations among these indices, treating the BET-FI index as our primary variable. Our research al

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Vlasov, Dmitry A., and Alexander V. Sinchukov. "THE POTENTIAL OF THE SHARPE MODEL IN THE STUDY OF THE DYNAMICS OF RETURNS ON PORTFOLIOS OF FINANCIAL INSTRUMENTS." EKONOMIKA I UPRAVLENIE: PROBLEMY, RESHENIYA 6/2, no. 147 (2024): 176–86. http://dx.doi.org/10.36871/ek.up.p.r.2024.06.02.020.

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This article analyzes the possibilities of the Sharpe model (index model) in the study of stochastic dynamics of returns on portfolios of financial instruments, subject to preliminary clarification of the investor’s attitude to risk. The sequence of procedures is presented, the implementation of which in the practice of financial decision-making will allow using the Sharpe model as an additional tool for quantifying the effectiveness of the placement of funds: «The procedure for selecting a variety of financial instruments for possible inclusion in the portfolio»; «Procedure for determining th

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Charoenvisal, Kongkun, Atch Sreshthaputra, and Sarin Pinich. "Achieving Financial Feasibility and Carbon Emission Reduction: Retrofit of a Bangkok Shopping Mall Using Calibrated Simulation." Buildings 14, no. 8 (2024): 2512. http://dx.doi.org/10.3390/buildings14082512.

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This study investigated the building energy retrofit potential of a shopping mall in Bangkok, Thailand, using a combined building energy modeling and economic analysis approach to achieve a balance between carbon emission reduction and financial feasibility. The study adopted ASHRAE Guideline 14, a standard for energy modeling accuracy, using whole-building calibrated simulation to evaluate the energy, energy cost, and operational carbon emission reduction achievable through the proposed energy conservation measures. The calibrated model demonstrated high accuracy, achieving an NMBE of 1.10% a

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Yaméogo, Wendkouni, and Diakarya Barro. "Modeling the Dependence of Losses of a Financial Portfolio Using Nested Archimedean Copulas." International Journal of Mathematics and Mathematical Sciences 2021 (July 15, 2021): 1–14. http://dx.doi.org/10.1155/2021/4651044.

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In financial analysis, stochastic models are more and more used to estimate potential outcomes in a risky framework. This paper proposes an approach of modeling the dependence of losses on securities, and the potential loss of the portfolio is divided into sectors each including two subsectors. The Weibull model is used to describe the stochastic behavior of the default time while a nested class of Archimedean copulas at three levels is used to model the maximum of the value at risk of the portfolio.

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Zarin, Rahat, Abdur Raouf, Amir Khan, Aeshah A. Raezah, and Usa Wannasingha Humphries. "Computational modeling of financial crime population dynamics under different fractional operators." AIMS Mathematics 8, no. 9 (2023): 20755–89. http://dx.doi.org/10.3934/math.20231058.

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<abstract><p>This paper presents an analysis and numerical simulation of financial crime population dynamics using fractional order calculus and Newton's polynomial. The dynamics of financial crimes are modeled as a fractional-order system, which is then solved using numerical methods based on Newton's polynomial. The results of the simulation provide insights into the behavior of financial crime populations over time, including the stability and convergence of the systems. The study provides a new approach to understanding financial crime populations and has potential applications

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YASHIN, Sergei N., Egor V. KOSHELEV, and Aleksandr V. KUPTSOV. "Neural network modeling of motivation for government agencies’ top management of regions as a classification problem." Finance and Credit 29, no. 10 (2023): 2253–73. http://dx.doi.org/10.24891/fc.29.10.2253.

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Subject. The study deals with modeling the motivation of top managers of government agencies in regions to align the interests of people and the State. Objectives. The purpose of the study is to create a neural network model of motivation for top management of regional government institutions for a classification problem. Methods. Using neural networks, we simulate criteria for non-financial and financial motivation of the said top management, and criteria for strategic potential of regions. Financial motivation is defined as the salary of a senior civil servant, and non-financial motivation a

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Lavin, Jaime F., Mauricio A. Valle, and Nicolás S. Magner. "Modeling Overlapped Mutual Funds’ Portfolios: A Bipartite Network Approach." Complexity 2019 (July 1, 2019): 1–20. http://dx.doi.org/10.1155/2019/1565698.

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This paper studies the topology of the Chilean mutual fund industry using networks methods. With the physical positions of the local equity portfolios managed during 2003.01-2017.4, we analyze their connectivity structure in both the mutual funds’ bipartite network and their one-mode projection. We estimate network measures to examine the potential effects on the topology arising from changes in the industrial environment and changes in the mutual funds’ investment strategies in their overlapped portfolios. Our main results show that changes in the bipartite network and its one-mode projection

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Yunanto, Rio. "Pemodelan Binis Sistem dan Teknologi Informasi Pada Lembaga Keuangan Berbasis Urun Dana." @is The Best [Accounting Information System & Information Technology Business Enterprise] 3, no. 2 (2018): 316–21. http://dx.doi.org/10.34010/aisthebest.v3i2.1520.

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Various types of financial institutions, especially for the non bank must be handle carefully because it has the role of strategic in economic development a country. Financial institutions, with the support system of information technology is often abbreviated STI the potential to be growing up fast and able to provide communications access to the remote areas in Indonesia. Crowdfunding is a phenomenon fundrasing that has the potential is huge if managed well. Financial institutions are based on crowdfunding now rely on STI as the backbone of operational technical. Internet make it easier for

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Tettey Ayumu, Mark, and Tochi Chimaobi Ohakawa. "Financial Modeling Innovations for Affordable Housing Development in the U.S." International Journal of Advanced Multidisciplinary Research and Studies 4, no. 6 (2024): 1761–66. https://doi.org/10.62225/2583049x.2024.4.6.4107.

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The United States faces a persistent and widening affordable housing crisis marked by severe demand-supply imbalances, regional disparities, and disproportionate socio-economic burdens on low- and moderate-income households. Traditional financing mechanisms, while foundational, have proven insufficient in scale, efficiency, and adaptability to meet contemporary housing needs. This paper presents a comprehensive examination of financial modeling innovations aimed at revitalizing affordable housing development across the U.S. It begins by establishing the contextual challenges and limitations of

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Nazara, Desman Serius, Fitriana Fitriana, and Zainal Arifin. "Analisis Potensi Kecurangan Pada Laporan Keuangan Perusahaan Bumn Di Bursa Efek Indonesia: Pendekatan Hexagon Fraud Analysis (Studi Empiris Tahun 2020-2023)." Journal of Economic, Bussines and Accounting (COSTING) 7, no. 5 (2024): 332–40. http://dx.doi.org/10.31539/costing.v7i5.11408.

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This study investigates the factors influencing the potential for fraud in financial reports of state-owned enterprises (BUMNs) listed on the Indonesian Stock Exchange (BEI) from 2020 to 2023. Utilizing a quantitative approach with random sampling of 70 investors and Structural Equation Modeling (SEM) via Smart PLS, the research examines the relationships between financial performance metrics, governance structures and policies, ethical climate and corporate culture, and fraud potential in financial reports. The findings reveal that financial performance metrics significantly impacts fraud pot

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Khanna, Roma, Angad Tiwary, Geeti Sharma, and Poonam Gupta. "Applying a novel deep learning technique to credit hazard modeling in business financial management." Multidisciplinary Science Journal 6 (July 3, 2024): 2024ss0407. http://dx.doi.org/10.31893/multiscience.2024ss0407.

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In financial management, where precise credit default forecasting is crucial for well-informed decision-making, credit hazard modeling is an essential part of risk assessment. Predicting the possibility of a borrower failing on their financial commitments, such as loans or credit card payments, is the primary goal of credit hazard modeling. In this paper, we provide an innovative technique called Adaptive Gravitational Search Dynamic Convolutional NeuroNet (AGS-DCNN) for credit hazard modeling. The large-scale examination of consumers who have established accounts ultimately yields information

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Debunov, Leonid. "Modeling company's financial sustainability with the use of artificial neural networks." Ekonomìka ì prognozuvannâ 2019, no. 3 (2019): 101–23. http://dx.doi.org/10.15407/eip2019.03.101.

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For enterprises in market conditions, not only the sum of profit is important, but also their financial capacity to continue its activity. The ability of a company to counteract the threat of bankruptcy is an essential condition for its long-term functioning and sustainable development. The financial sustainability of an enterprise is a complex characteristic that can't be described by the value of a single simple indicator. In modern conditions, for its diagnosis, a comprehensive analysis using various financial indicators is used. When a human does it, such an assessment may be subjective an

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Fang, Fang. "Crisis Analysis and Prevention and Control of Financial Leverage Imbalance in Shareholder Equity Pledge Based on the DANP Model." Discrete Dynamics in Nature and Society 2022 (May 5, 2022): 1–8. http://dx.doi.org/10.1155/2022/7799695.

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ResearchBackground. The process of economic globalization is accelerating, and the financial risks that listed companies need to face are more complicated. Research Purpose. In order to clarify the impact of shareholder equity pledge on financial leverage imbalance crisis, research on the analysis and prevention of financial leverage imbalance crisis of shareholder equity pledge based on the DANP model is carried out. Research Method and Process. The DANP financial leverage imbalance early warning model is introduced to analyze the impact of shareholder equity pledge on financial leverage imba

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Nyika, Andrew. "Transforming the Mobile Money Ecosystem: Eliminating All Transaction Fees to Drive Digital Growth and Economic Inclusion." International Journal of Economic Policy 5, no. 2 (2025): 56–81. https://doi.org/10.47941/ijecop.2628.

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Purpose: The purpose of this research is to examine and propose a transformative policy shift toward eliminating all consumer-facing mobile money transaction fees in Zambia. It evaluates the feasibility of replacing Mobile Money Operators’ (MMOs) traditional revenue streams from fees with interest income generated from customer trust accounts, aiming to significantly accelerate financial inclusion and digital financial service (DFS) adoption nationwide. Methodology: This applied policy research utilized a mixed-method approach, combining quantitative financial modeling, comparative internation

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Sarkar, Debajyoti, and Ashim Kumar Sarmah. "Analyzing the Nexus Between Entrepreneurship and Business Mathematics - A Comprehensive Study on Strategic Decision-Making, Financial Modeling, and Risk Assessment in Small and Medium Enterprises (SMEs)." International Journal of Research and Review 11, no. 2 (2024): 40–51. http://dx.doi.org/10.52403/ijrr.20240206.

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This research undertakes a comprehensive exploration of the symbiotic relationship between entrepreneurship and business mathematics, focusing on strategic decision-making, financial modeling, and risk assessment within the context of Small and Medium Enterprises (SMEs). The study aims to elucidate how the integration of mathematical models influences the operational dynamics of SMEs, ultimately shaping their ability to navigate uncertainties and foster sustainable growth. The investigation delves into the theoretical underpinnings of this nexus, drawing from established theories such as the R

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Alsuhabi, Hassan. "The new Topp-Leone exponentied exponential model for modeling financial data." Mathematical Modelling and Control 4, no. 1 (2024): 44–63. http://dx.doi.org/10.3934/mmc.2024005.

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<abstract><p>We proposed in this article a new three-parameter distribution, which is referred as the Topp-Leone exponentiated exponential model is proposed. It is used in modeling claim and risk data applied in actuarial and insurance studies. The probability density function of the suggested distribution can be unimodel and positively skewed. Different distributional and mathematical properties of the TL-EE model were provided. Furthermore, we established a maximum likelihood estimation method for estimating the unknown parameters involved in the model, and some actuarial measure

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Devi, Maladianti, Noveria Ana, and Faturohman Taufiq. "Measuring Financial Behavior Millennial and Generation Z in Indonesia: Analysis Approached that Ensure Financial Resilience in The Face of Potential Crisis." International Journal of Current Science Research and Review 07, no. 09 (2024): 6868–78. https://doi.org/10.5281/zenodo.13646617.

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Abstract : This study explores financial literacy, behavior and preparedness of Millennials and Generation Z in Indonesia, focus on understanding how those three factors interact with job status income usage, debt management and digital engagement. The increasing dependency on digital financial tools is also underlined, this research purposes to assess the extending younger generation are prepared to manage their finance for future financial security.  A quantitative research design was working, involving a sample of 219 respondents drawn from a population of 222 individuals aged 20 to 60

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HUMENIUK, Volodymyr, Ganna KOSTENKO, and Ivanna ZAPUKHLIAK. "Financial potential of Black Sea resort and recreation territories." Fìnansi Ukraïni 2023 (November 2, 2023): 118–28. http://dx.doi.org/10.33763/finukr2023.09.118.

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Introduction. In the context of the difficult socio-economic situation in Ukraine caused by the ongoing war, the issue of assessing the financial potential of the Black Sea resort and recreational areas in the context of their revitalization is becoming especially important. Problem Statement. The study is aimed at assessing the existing problems of the financial potential of the resort and recreational territories of the Black Sea region, identifying the prerequisites for its strengthening, analyzing the factors that influence the formation and use of financial resources of territorial commun

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