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Journal articles on the topic 'Financial coefficients'

Author: Grafiati

Published: 28 May 2022

Last updated: 30 July 2025

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1

Wale, Letenah Ejigu. "Financing Constraints And Financial Development: Evidence From Selected African Countries." International Business & Economics Research Journal (IBER) 14, no. 4 (2015): 655. http://dx.doi.org/10.19030/iber.v14i4.9355.

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Economic theory posits that financial development eases firm level financing constraints by mitigating information asymmetry and contracting imperfections. This paper empirically tests for this notion by using firm level data from selected African countries. The sampled firms show positive and significant investment cash flow sensitivity coefficients indicating they are financially constrained. Financial development is found to have a significant and negative effect on the estimated cash flow sensitivity coefficients indicating it reduces firm financial constraints. The result further shows th

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YOON, GAWON. "CORRELATION COEFFICIENTS, HETEROSKEDASTICITY AND CONTAGION OF FINANCIAL CRISES." Manchester School 73, no. 1 (2005): 92–100. http://dx.doi.org/10.1111/j.1467-9957.2005.00426.x.

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Khadka, Yam Bahadur, and Bharat Singh Thapa. "Impact of Financial Literacy on Financial Behavior among Sugarcane Farmers." Nepalese Journal of Management and Technology 2, no. 2 (2024): 5–21. http://dx.doi.org/10.3126/njmt.v2i2.68711.

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This research investigates the status of financial literacy and its influence on the financial behavior of Sugarcane Farmers. Data were gathered between March and May of 2023 in Bardibas Municipality, Mahottari district, Nepal, involving 350 Sugarcane Farmers through face-to-face interviews utilizing a well-structured questionnaire. Analysis was conducted using Smart-PLS (version 4) and SPSS (version 22), calculating data frequency, percentage, mean, standard deviation, path coefficients, t-statistics, and R-squared. Hypotheses were tested employing path coefficients and t-statistics. The stud

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Zaharov, Igor'. "Improving the Methodology for Conducting Financial Analysis of a Debtor Company by an Arbitration Manager." Auditor 10, no. 9 (2024): 27–34. http://dx.doi.org/10.12737/1998-0701-2024-10-9-27-34.

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In accordance with the Rules of financial analysis by the arbitration manager approved by the decree of the government of the Russian Federation of 25 June 2003 No. 367, arbitration managers should use the method of financial coefficients. However, in our view, a number of coefficients included in the Rules do not allow us to give a reasonable conclusion on the financial condition of the legal entity. The article substantiates the reasons for this and proposes other and additional coefficients for conducting financial analysis of debtors organizations

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Shapoval, Elena, Zoya Chebotareva, and Larisa Zhdanova. "Current issues in the development of methods for analyzing financial condition based on financial statements." Russian Journal of Management 12, no. 1 (2024): 404–18. http://dx.doi.org/10.29039/2409-6024-2024-12-1-404-418.

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The article is devoted to the development and improvement of methods for analyzing the financial condition of organizations. As a result of reviewing and researching the content of existing methods for analyzing the financial condition of organizations, difficulties of use for users were identified, consisting of a large or small number of stages, sections, oversaturation of coefficients, lack of a common conceptual apparatus for all, incompleteness and obsolescence of recommended values of coefficients characterizing financial state, in low demand and the possibility of using the methodology

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Татаровский, Ю. А. "Analysis of the organization's marketing activities using financial coefficients." Экономика и предпринимательство, no. 1(138) (April 15, 2022): 1348–52. http://dx.doi.org/10.34925/eip.2022.138.1.269.

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Несмотря на популярность методики маркетингового анализа и развитый аналитический инструментарий, в ряде случаев остается неудовлетворенной информационная потребность стейкхолдеров в формировании объективной оценки эффективности маркетинговой активности бизнеса. Получаемая в рамках традиционных подходов к маркетинговому анализу информация отличается высокой степенью субъективности зачастую не может быть количественно оценена. Одним из направлений решения данной проблемы может стать использование методических подходов финансового анализа, имеющих высокую степень признания как со стороны научног

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Tregub, A. V., A. M. Krasnyanskiy, and I. S. Livishin. "Assessment of the Financial Performance of PJSC “FosAgro” Using the Methods of Financial Mathematics." Voprosy sovremennoj nauki i praktiki. Universitet imeni V.I. Vernadskogo, no. 4(82) (2021): 115–20. http://dx.doi.org/10.17277/voprosy.2021.04.pp.115-120.

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The article deals with the aspects of assessing the financial performance of the company using the example of PJSC “PhosAgro”. The analysis of balance sheet liquidity, financial stability of the company was carried out using a number of coefficients. The financial leverage ratio and profitability indicators were calculated. Using the methods of financial mathematics, conclusions were drawn about the financial position and development prospects of the company.

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Luisa, Trombetta Burić. "Correlation Coefficients in Capital Market Analyses." Correlation Coefficients in Capital Market Analyses 8, no. 12 (2024): 6. https://doi.org/10.5281/zenodo.10487914.

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This paper explored the application of three widely utilized correlation coefficients - Pearson, Spearman, and Kendall in the context of financial data. The Pearson correlation coefficient, Spearman rank correlation coefficient, and Kendall's tau are extensively examined in capital market analyses for their ability to capture relationships between two or more financial variables such as investment funds rankings by different criteria (returns, risk, costs, etc.), market portfolio returns, stock exchange indexes and interest rates. For each coefficient, a hypothetical example was provided. Firs

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Meleshko, Oleg, Nataliia Prokopenko, and Olena Gudz. "The impact of the shadow economy on the country’s financial security." E3S Web of Conferences 284 (2021): 07005. http://dx.doi.org/10.1051/e3sconf/202128407005.

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The article is devoted to determining the features of the shadow economy's impact on financial security. For this purpose the following are carried out: generalization of calculation indicators in the shadow economy; influence assessment level of the shadow economy on the volume of gross domestic product (further-GDP); based matrix paired correlation coefficients integral indicator of financial security and factors of shadow economy by various methods; conducted surveillance on the dynamics of the integral index of financial security and the level of the shadow economy, calculated using moneta

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Pratama, Rheza, Iin Safariah, and Muhammad Anas. "The CFO's Playbook: Strategic Financial Management For Competitive Advantage." Journal of Economic, Bussines and Accounting (COSTING) 7, no. 5 (2024): 1138–48. http://dx.doi.org/10.31539/costing.v7i5.11703.

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This study explores the impact of Strategic Financial Management and Financial Planning and Analysis on Competitive Advantage within Bank Syariah Indonesia KC Ternate, with a focus on the mediating role of Financial Decision-Making Quality. Utilizing a quantitative research design, data was collected from 70 customers through structured questionnaires and analyzed using Smart PLS (Partial Least Squares). The findings reveal significant direct effects of Strategic Financial Management and Financial Planning and Analysis on Competitive Advantage, with coefficients of 0.50 and 0.32, respectively.

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Lebedev, A. V., and E. A. Razumovskaya. "Correlation between the results of social and economic development and parameters of the structure of Russian financial system." Finance and Credit 26, no. 4 (2020): 757–73. http://dx.doi.org/10.24891/fc.26.4.757.

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Subject. The article investigates the structural parameters of the financial system, which enable to assess the quality of its structure. Objectives. We make attempts to test the hypothesis about the availability of relationship between the structure of the Russian financial system and the results of socio-economic development. Methods. To analyze the structure of the financial system of Russia, we employ the OECD international methodology and the data of the Central Bank of the Russian Federation. Results. The paper presents our own interpretation of macroeconomic identical relation reflectin

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TACCHELLA, ANDREA, MATTHIEU CRISTELLI, ANDREA ZACCARIA, and LUCIANO PIETRONERO. "TIME EVOLUTION OF FINANCIAL CROSS-CORRELATION COEFFICIENTS ACROSS MARKET CRISIS." International Journal of Modern Physics: Conference Series 16 (January 2012): 82–92. http://dx.doi.org/10.1142/s2010194512007799.

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We investigate the time evolution of financial cross-correlation coefficients during financial crises and compare them to what is observed in periods of stability. We choose three main events, the Dot.Com Bubble, the market crisis which followed the attacks at the Twin Towers in 2001 and the recent subprime crisis. Each of them has a different nature and a different impact on the market, which we analyze by studying separately different economic sectors. As a general trend, we observe an increase of correlation during these high volatility periods and a broadening of the distributions of corre

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Vetrov, A. N. "THE COGNITIVE MODELING TECHNOLOGY FOR THE FINANCIAL ANALYSIS OF THE FINANCIAL-ECONOMY ACTIVITY OF THE ORGANIZATION." Herald of Dagestan State Technical University. Technical Sciences 45, no. 4 (2019): 102–23. http://dx.doi.org/10.21822/2073-6185-2018-45-4-102-123.

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Objective. The increase in the efficiency of functioning of the (credit) organization due to the realization of procedure of the horizontal, vertical and trend (microscopic) financial analysis based on the formed innovative analytical coefficients system in the parametrical cognitive models block. Method. The financial analysis of the highly-integrated enterprises and (credit) organizations. Result. The innovative parametrical cognitive models block is the information basis of the (microscopic) financial analysis, contains the cognitive models for the horizontal, vertical and trend financial a

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Vlasov, D., and Aleksandr Sinchukov. "Features of Designing a Portfolio of Financial Instruments Based on the Evaluation of Beta-Coefficients." Scientific Research and Development. Economics 12, no. 1 (2024): 28–35. http://dx.doi.org/10.12737/2587-9111-2024-12-1-28-35.

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The article focuses on a variant of the development of the classical portfolio theory based on coefficients. The role of beta coefficients in financial decisionmaking is analyzed, and a portfolio optimization option is presented in the form of a linear programming problem with respect to the price shares of financial instruments acting as variables. Special attention is paid to the mathematical approaches underlying portfolio theory. Such approaches include statistical analysis to assess the expected profitability and coefficients of various financial instruments, as well as optimization metho

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15

Sak, Tetiana, and Natalia Shepelyuk. "Diagnostics of the Financial Stability of the Enterprise: Methodology and Application Practice." Economic journal Odessa polytechnic university 4, no. 26 (2023): 37–44. https://doi.org/10.5281/zenodo.10371014.

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The article summarizes the theoretical aspects of diagnosing the financial stability of an enterprise and emphasizes its importance for success and long-term development in a dynamic business environment. Various approaches to the interpretation of the concept of "financial stability of the enterprise" are given, influencing factors are determined. The model of diagnosing the financial stability of the enterprise as the interaction of the management subject to ensure the financial stability of the object through the use of methods, tools and levers is considered. Such methods of assessing the

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Vyšniauskaitė, Enrika, and Algita Miečinskienė. "ROBO-CONSULTANTS RESEARCH IN FINANCIAL TECHNOLOGY COMPANIES." Mokslas - Lietuvos ateitis 12 (August 10, 2020): 1–12. http://dx.doi.org/10.3846/mla.2020.12550.

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While the scale of robo-consultants is only growing, there is very little research revealing the opportunities and threats of this technology. Literature analysis provides a thorough understanding of the threats and opportunities of robo-consultants usage in financial technology companies. The theoretical aspects of robo-consultants and fintech companies are discussed – definitions, activities, key functions. The main purpose of this work – make an expert assessment and highlight the most important opportunities and threats of robo-consultants usage. Kendall’s calculations of concordance and e

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Bayar, Yilmaz, Mehmet Hilmi Ozkaya, Laura Herta, and Marius Dan Gavriletea. "Financial Development, Financial Inclusion and Primary Energy Use: Evidence from the European Union Transition Economies." Energies 14, no. 12 (2021): 3638. http://dx.doi.org/10.3390/en14123638.

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The main objective of the research is to analyze the impact of financial sector development indicators and financial institutions access on primary energy use based on a sample of European Union transition members over 20 years period (1996–2017) through panel cointegration and causality tests that allow for cross-section dependence. The causality analysis revealed that the direction of the causality among financial development indicators, financial institutions access, and primary energy use varied among the countries. On the other side, panel cointegration coefficients disclosed that the fin

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18

Leo, Maxymillianus, and Muhadjir Anwar. "Faktor yang Mempengaruhi Minat Menabung Pelajar SMAK." Journal of Management and Bussines (JOMB) 4, no. 2 (2022): 1147–63. http://dx.doi.org/10.31539/jomb.v4i2.4642.

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This study aims to determine the factors that influence the interest in saving in SMAK Garum Seminary students, Blitar Regency. This research method is quantitative, this research is explanatory research. The population used in this study were students of SMAK Seminary Garum, Blitar Regency. The data analysis technique used in this research is PLS-SEMM using SmartPLS 3 for Windows 10 V3.2. and Microsoft Excel 2016. The results show that the financial literacy variable (X1) on the interest in saving (Y) has a path coefficients value of 0.842, and a P value of 0.000 < α = 0.05; b) the financi

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Kasimova, D. F., та T. S. Kasimov. "Основные тенденции изменения финансового состояния российских организаций". Экономика и управление: научно-практический журнал, № 4(178) (23 серпня 2024): 83–87. http://dx.doi.org/10.34773/eu.2024.4.13.

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The article analyzes the trends in the main financial coefficients characterizing the financial condition of Russian organizations in 1995–2023. The main factors that influenced their dynamics have been identified. В статье анализируются тенденции изменения основных финансовых коэффициентов, характеризующих финансовое состояние организаций российских организаций за 1995–2023 гг. Выявлены основные факторы, повлиявшие на их динамику.

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ABUTALEB, AHMED, and MICHAEL G. PAPAIOANNOU. "MALLIAVIN CALCULUS FOR THE ESTIMATION OF TIME-VARYING REGRESSION MODELS USED IN FINANCIAL APPLICATIONS." International Journal of Theoretical and Applied Finance 10, no. 05 (2007): 771–800. http://dx.doi.org/10.1142/s021902490700441x.

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The paper introduces a new method for the estimation of time-varying regression coefficients employed in financial modeling. We use Malliavin calculus (stochastic calculus of variations) to estimate the time-varying regression coefficients that appear in linear regression models, and the generalized Clark–Ocone formula to derive a closed-form solution for the estimates of the time-varying coefficients. While this approach can be applied to any signal model, we present its application to signals modeled as a Brownian motion and an Ornstein–Uhlenbeck process. Simulation results prove the superio

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Wasilewska, Natalia, and Nadiia Davydenko. "FINANCIAL MANAGEMENT MODELING FOR ENTERPRISES." Zeszyty Naukowe SGGW, Polityki Europejskie, Finanse i Marketing, no. 19(68) (July 1, 2018): 272–85. http://dx.doi.org/10.22630/pefim.2018.19.68.23.

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The purpose of the study was to model the financial management processes of enterprises to ensure the qualitative and complete forecasting of enterprise development. The analysis of the strategic matrix of interconnections through the use of power, logarithmic and polynomial trends during the determination of the tightness of the connection between the financial resources’ volumes and the coefficients of liquidity and financial sustainability at the enterprise was carried out. It is established that effective organization of scenario activity as an element of strategic planning is one of the m

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AZARYAN, Elena M., Vladislav O. BESSARABOV, and Oksana V. MELENT'EVA. "Logical and statistical modeling of the integral indicator of financial stability." Economic Analysis: Theory and Practice 24, no. 4 (2025): 79–100. https://doi.org/10.24891/ea.24.4.79.

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Subject. The article addresses the logical and statistical modeling of financial stability indicators of enterprises. Objectives. The study aims at logical and statistical modeling of integral indicator of financial stability, and comparison of the results with expert estimates. Methods. The study employs analysis and synthesis, dialectical cognition and abstraction, expert assessments, and logical and statistical modeling. Results. Based on the assessment of financial stability coefficients (absolute liquidity, financial independence, financial stability, equity maneuverability, profitability

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Sidorenko, O. V., and I. V. Il'ina. "Methodological approaches to the determination of regulatory values of financial coefficients." Finance and Credit 24, no. 7 (2018): 1597–608. http://dx.doi.org/10.24891/fc.24.7.1597.

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Dong, SiQi. "Exploring the Influence of Financial Literacy on Mobile Financial Service Usage: An Ordered Probit Analysis." Asian Journal of Economics, Business and Accounting 24, no. 8 (2024): 111–31. http://dx.doi.org/10.9734/ajeba/2024/v24i81445.

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Mobile financial service, an emerging form of financial services that has developed alongside the internet and mobile devices, are becoming increasingly significant in the global financial market. Financial literacy is crucial for safely and effectively using these services, as it equips individuals with the necessary knowledge and skills to navigate the digital financial landscape, make informed decisions, and manage their finances responsibly. This study explores the link between financial literacy and the use of mobile financial services, aiming to promote financial inclusion and help users

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Indra Rachmawati, Nursanti Dwi Yogawati, Tri Yuwono, Fajar Nur Wibowo, and Rizki Nugroho. "THE EFFECT OF FINANCE AND DIGITAL LITERATURES AND FINACIAL MANAGEMENT ON UMKM PERFORMANCE IN THE CILACAP DISTRICT." Proceeding of The International Conference on Business and Economics 1, no. 1 (2022): 175–87. http://dx.doi.org/10.56444/icbeuntagsmg.v1i1.294.

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This study aims to determine the effect of financial and digital literatures and financial management on the performance of UMKM. This research used quantitative research using associative approach. Data collection was carried out by distributing questionnaires to 30 respondents of UMKN business actors in Cilacap District. The data analysis method used is quantitative analysis using Path Coefficients Test, Modes of Goodness Test, and Hypothesis Testing. Path coefficient value of the influence of financial management on the performance of UMKM. The results of the linear test and the output of c

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Thiagarajah, K., and A. Thavaneswaran. "Fuzzy random‐coefficient volatility models with financial applications." Journal of Risk Finance 7, no. 5 (2006): 503–24. http://dx.doi.org/10.1108/15265940610712669.

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PurposeThe purpose of this research is to introduce a class of FRC (fuzzy random coefficient) volatility models and to study their moment properties. Fuzzy option values and the superiority of fuzzy forecasts over minimum mean‐square forecasts are also discussed in some detail.Design/methodology/approachFuzzy components are assumed to be triangular fuzzy numbers. Buckley's data‐driven method is used to determine the spread of the triangular fuzzy numbers by using standard errors of the estimated parameters.FindingsThe fuzzy kurtosis of various volatility models is obtained in terms of fuzzy co

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Hulu, Krisda Pebriani, Maria Magadalena Bate’e, Sophia M, Kakisina, and Kurniawan S. Zai. "The Effect of Financial Education on Increasing Financial Literacy." Golden Ratio of Data in Summary 4, no. 2 (2024): 482–90. http://dx.doi.org/10.52970/grdis.v4i2.570.

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That financial literacy is part of economic literacy that is important to develop through educational activities. Financial literacy is very important especially for individuals because this financial aspect is a determinant in finding individual life needs. although there are still individuals who have not implemented good financial literacy in their lives. As is the case with students of SMK Negeri 1 Tugala Oyo which is one of the vocational schools in Tugala Oyo District, North Nias Regency. This study aims to determine how much influence Financial Education has on improving Financial Liter

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Titis Sri Wulan, Putri Wahyu Novika, Elmi Nurvianti, and Feby Arma Putra. "Impact of ERP System Implementation on Operational and Financial Efficiency in Manufacturing Industry." Journal of Economic Education and Entrepreneurship Studies 5, no. 3 (2024): 491–501. http://dx.doi.org/10.62794/je3s.v5i3.4328.

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This study aims to analyze the effect of implementing an ERP (Enterprise Resource Planning) system on operational and financial efficiency in the manufacturing industry. ERP systems are known to simplify business processes and improve efficiency, but their impact varies across companies. Using the linear regression method, this study measures the effect of variables such as production time reduction, inventory management, productivity improvement, cash flow improvement, and operating cost reduction on firm efficiency. Data was obtained from ten manufacturing companies in Indonesia that impleme

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KULAI, Svetlana V., and Evgenii E. SHVAKOV. "Development of MDA and Logit models to predict bankruptcy probability for Russian coal enterprises." Economic Analysis: Theory and Practice 24, no. 3 (2025): 194–216. https://doi.org/10.24891/ea.24.3.194.

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Subject. The study deals with forecasting the probability of bankruptcy for coal enterprises, represented by two variants of mathematical models: the MDA model and the logit model. Objectives. The aim is to develop a methodology for predicting the probability of bankruptcy based on data from Russian coal industry enterprises for 2014–2022. Methods. The study employs the coefficient method, correlation analysis, k-means method, cluster and factor analysis, MDA and logit models. Results. The development of models included several stages: formation of a basic system of financial coefficients; cre

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Chikmah, Isnani Farichatul, and Lorena Dara Putri Karsono. "The Influence of Financial Technology (Fintech), Financial Literacy, and Income on Financial Inclusion of Society." is The Best Accounting Information Systems and Information Technology Business Enterprise this is link for OJS us 9, no. 1 (2024): 1–15. https://doi.org/10.34010/aisthebest.v9i1.11990.

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This study seeks to determine if financial technology (fintech), Financial Literacy, and income impact financial inclusion in society. This research was conducted quantitatively involving Generation Z from the former Pati Residency. Generation Z are those born in 1995-2010. Financial literacy can be used as a measuring tool to determine the extent to which a person understands financial concepts, ability to manage, and confidence in making long-term planning decisions by taking into account economic conditions. Likewise, income can serve as an indicator of an individual's financial management

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Babar, Sadia, Rashid Latief, Sumaira Ashraf, and Sania Nawaz. "Financial Stability Index for the Financial Sector of Pakistan." Economies 7, no. 3 (2019): 81. http://dx.doi.org/10.3390/economies7030081.

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This study aims to develop a financial stability index for the Pakistani financial sector by using the financial reports for the period of 2001–2011. Specifically, we constructed three different classes of indices in this study based on a variance-equal weighted approach, a linear probability approach, and a logistic approach. We also assessed the prediction accuracy of the financial stability index. All indices indicated that profitability, liquid liability to the liquid asset, non-performing loan, uncovered liabilities, interest spread and inter-fund to liquid liabilities variables contribut

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Plahotniuk, Volodymyr, and Olha Pizhuk. "INTEGRATED METHODOLOGY FOR ASSESSMENT OF FINANCIAL ABILITY OF LOCAL BUDGETS." Actual Problems of Economics 1, no. 282 (2024): 147–56. https://doi.org/10.32752/1993-6788-2024-1-282-147-156.

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The article addresses the critical issue of ensuring the financial capacity of local budgets, a key factor in the sustainable socio-economic development of Ukraine's regions. The authors propose an integrated methodology for assessing the financial capacity of local budgets, emphasizing its incorporation into a digital system utilizing advanced technologies such as artificial intelligence (AI). Particular attention is paid to the use of coefficients in financial analysis, which ensures objectivity, comparability, and effectiveness of research. These coefficients, as quantitative indicators, en

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Merkle, Christoph. "Financial Loss Aversion Illusion*." Review of Finance 24, no. 2 (2019): 381–413. http://dx.doi.org/10.1093/rof/rfz002.

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Abstract We test the proposition that investors’ ability to cope with financial losses is much better than they expect. In a panel survey of investors from a large bank in the UK, we ask for their subjective ratings of anticipated returns and experienced returns. The time period covered by the panel (2008–10) is one where investors experienced frequent losses and gains in their portfolios. This period offers a unique setting to evaluate investors’ hedonic experiences. We examine how the subjective ratings behave relative to expected portfolio returns and experienced portfolio returns. Loss ave

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Onsongo, Susan Kerubo, Stephen M. A. Muathe, and Lucy Wamugo Mwangi. "Financial Risk and Financial Performance: Evidence and Insights from Commercial and Services Listed Companies in Nairobi Securities Exchange, Kenya." International Journal of Financial Studies 8, no. 3 (2020): 51. http://dx.doi.org/10.3390/ijfs8030051.

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In Kenya, the last few years has seen the performance of companies listed under the commercial and services segment on the Nairobi Securities Exchange (NSE), experience mixed fortunes. The study sought to assess the implications of financial risk on the performance of these companies. The study applied explanatory research design. The target population were the 14 companies listed under this segment of NSE. Secondary panel data contained in published annual reports for the period 2013–2017 was collected. Panel regression model was applied with the random effect model being used based on the Ha

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Esen, Sinan, and Korhan Gokmenoglu. "Financial Centres Index and GDP Growth." International Journal of Economics and Finance 8, no. 4 (2016): 198. http://dx.doi.org/10.5539/ijef.v8n4p198.

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This study investigates the relationship between financial centres index and GDP growth of 20 countries with the world’s largest GDP. In our sample each country is represented by just one financial centre. We tested many models through several panel approaches. Use of a fixed-effects model, fixed-effects (within) regression, random-effects GLS regression, random-effects ML regression, and empirical findings showed that the global financial centres index variable is highly statistically significant, and coefficients obtained from different estimations are very close to each other. Our findings

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Rakhman, Yusuf Aulia, and Tri Kartika Pertiwi. "Literasi Keuangan, Penggunaan E-Money, Kontrol Diri, dan Gaya Hidup Terhadap Perilaku Konsumtif Belanja Online." Journal of Management and Bussines (JOMB) 5, no. 1 (2023): 560–75. http://dx.doi.org/10.31539/jomb.v5i1.6701.

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The purpose of this study was to examine the relationship between financial literacy, use of electronic money, self-control, and lifestyle factors in Generation Z internet shoppers in Surabaya. This research method is quantitative. The sample used in this study consisted of 109 respondents. Structural Equation Modeling (SEM) using the Partial Least Squares (PLS) approach is the analytical method used. The results of the study show, a) the financial literacy variable on consumptive behavior has a path coefficients value of -0.261 and a P value of 0.015 <0.05; b) the electronic money variable

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Kubetska, Olha M., and Kubetska Ostapenko. "A Methodical Instrumentarium for Analyzing the Financial Sustainability of Enterprise." Business Inform 5, no. 544 (2023): 203–8. http://dx.doi.org/10.32983/2222-4459-2023-5-203-208.

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The article considers the issue of role of analysis of financial sustainability of enterprise in ensuring its current activity. The article is aimed at generalizing the methodical instruments of financial analysis of enterprise sustainability. The calculation of indicators will enable business executives to determine the degree of dependence of the enterprise on creditors and investors, as well as the level of its financial situation. The article generalizes the theoretical provisions on application of different approaches/methods of analysis/assessment of financial sustainability of organizat

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ORTIZ, Neptalí Rojas, Joél Vásquez TORRES, and Víctor Hugo Puican RODRÍGUEZ. "Digital Financial Education for Economic and Financial Inclusion in Vulnerable Sectors of Peru." Theoretical and Practical Research in Economic Fields 15, no. 4 (2024): 928. https://doi.org/10.14505/tpref.v15.4(32).11.

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The study explores the influence of digital financial education on the financial inclusion of workers in the construction sector in Peru. A quantitative approach with a non-experimental and cross-sectional design was used, applying a questionnaire to 128 self-employed workers. The results indicate a moderate influence of digital financial education on financial inclusion, with an R value of 0.541 and an R² of 0.292. The ANOVA analysis and the regression coefficients confirm the significance of the model (p < 0.001). Factors such as perception and trust in digital banking and integration of

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Wang, Yingyi, Md Qamruzzaman, Ayesha Serfraz, and Manickavasagam Theivanayaki. "Does Financial Deepening Foster Clean Energy Sustainability over Conventional Ones? Examining the Nexus between Financial Deepening, Urbanization, Institutional Quality, and Energy Consumption in China." Sustainability 15, no. 10 (2023): 8026. http://dx.doi.org/10.3390/su15108026.

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Energy availability and the selection of suitable energy sources have substantial implications on both economic and environmental sustainability, and it is because the environmental protection cost is directly linked to overall energy inclusion in the economy. Thus, the importance of clean energy has been noticed in the literature regardless of the economic structure. The purpose of the study is to discover the effects of financial deepening (FD), urbanization (UR), and institutional quality (IQ) on China’s energy consumption. Annual time series date for 1985 to 2019 utilized for documenting t

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Anikina, I. D., E. P. Kucherovа, and E. S. Karevа. "Improving the Methodology for Assessing the Level of Financial Security of Agricultural companies." Accounting. Analysis. Auditing 7, no. 2 (2020): 40–47. http://dx.doi.org/10.26794/2408-9303-2020-7-2-40-47.

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The paper is devoted to the study of approaches to assessing the financial security level of agricultural companies and their improvement. The methodological base of the research is a modern concept of financial security and enterprise sustainability. The methods review for assessing financial security is carried out, also industry characteristics of enterprises are studied. The result of the work is the development of a methodology for assessing the financial security level of organizations. Such methodology’s topicality is represented in the additive model, which includes four integral indic

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Abubacarr, Kanagie. "Impact of Mobile Money and Fintech in Enhancing Financial Inclusion in the Gambia: A Case Study of Wave." INTERNATIONAL JOURNAL OF SOCIAL SCIENCE HUMANITY & MANAGEMENT RESEARCH 04, no. 04 (2025): 710–22. https://doi.org/10.5281/zenodo.15281644.

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This study investigates the complex relationships between key variables affecting financial inclusion, using SMART-PLS 4.0 for data analysis. Specifically, we focus on how Mobile Money Adoption (MMA), FinTech Services (FTS), Regulatory Environment (RE), Technological Infrastructure (TI), Social Influence (SI), and User Trust (UT) contribute to Financial Inclusion (FI). Results reveal that FinTech Services significantly influence the Regulatory Environment and User Trust, with path coefficients of 0.543 and 0.103, respectively. Mobile Money Adoption shows strong effects on FinTech Services (0.5

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Yanti, Resti Dwi, and Edy Suryadi. "The Influence of Financial Literacy, Financial Self-Efficacy and Fintech Payment on the Financial Behavior of QRIS Users." International Journal of Science and Society 6, no. 1 (2024): 367–77. http://dx.doi.org/10.54783/ijsoc.v6i1.1019.

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This study aimed to determine the impact of financial literacy, financial self-efficacy and fintech payment on the financial behavior of QRIS users. The method in this study uses associative research. The population of this study were people in Pontianak City. The data collection technique used a questionnaire. The analysis used is the classical assumption test, multiple linear regression analysis, multiple correlation coefficients, coefficient of determination, and partial effect test (t-test). The multiple correlation coefficient shows that the results of the R test have been carried out wit

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Bartesaghi, Paolo, Gian Paolo Clemente, and Rosanna Grassi. "A tensor-based unified approach for clustering coefficients in financial multiplex networks." Information Sciences 601 (July 2022): 268–86. http://dx.doi.org/10.1016/j.ins.2022.04.021.

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Ferreira, Paulo, Oussama Tilfani, Éder Pereira, Cleónidas Tavares, Hernane Pereira, and My Youssef El Boukfaoui. "Dynamic Connectivity in a Financial Network Using Time-Varying DCCA Correlation Coefficients." Econometric Research in Finance 6, no. 1 (2021): 57–75. http://dx.doi.org/10.2478/erfin-2021-0004.

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Abstract This paper aims to analyse the connectivity of 13 stock markets, between 1998 and 2019, with a time-varying proposal, to evaluate evolution of the linkage between these markets over time. To do so, we propose to use a network built based on the correlation coefficients from the Detrended Cross-Correlation Analysis, using a sliding windows approach. Besides allowing for analysis over time, our approach also enables us to verify how the network behaves for different time scales, which enriches the analysis. We use two different properties of networks: global efficiency and average grade

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Hafner, Christian M. "Cross-correlating wavelet coefficients with applications to high-frequency financial time series." Journal of Applied Statistics 39, no. 6 (2012): 1363–79. http://dx.doi.org/10.1080/02664763.2011.649716.

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R.S. NIGO, Ayine, and Vincent GIBOGWE. "Empirical Research on Foreign Direct Investment and Economic Growth in Tanzania." Journal of Research, Innovation and Technologies (JoRIT) 2, no. 3 (2023): 18. http://dx.doi.org/10.57017/jorit.v2.1(3).02.

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This study contributes to the literature on financial efficiency and growth. We show evidence from the effects of controlling institutional variables given the increase in domestic credit. The domestic credit is adverse, with an insignificant effect on per capita income growth. We make two observations from our findings. First, the negative but insignificant coefficients of the measure of bank credit across all model specifications seem to go against the supply-leading hypothesis, as financial development hurts economic growth; nevertheless, given that the impact is insignificant, this draws m

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Tao, Xiangxing, Mingxin Wang, and Yanting Ji. "The Application of Graph-Structured Cox Model in Financial Risk Early Warning of Companies." Sustainability 15, no. 14 (2023): 10802. http://dx.doi.org/10.3390/su151410802.

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An effective financial risk forecast depends on the selection of important indicators from a broad set of financial indicators that are often correlated with one another. In this paper, we address this challenge by proposing a Cox model with a graph structure that allows us to identify and filter out the crucial indicators for financial risk forecasting. The Cox model can be converted to a weighted least squares form for the purpose of solution, where the regularization l0 compresses the signs of the variable coefficients and reduces the error caused by the compression of the coefficients. The

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Chapargina, Anastasia N. "Household financial security in the Russian Arctic: Micro-level analysis." Север и рынок: формирование экономического порядка 27, no. 3/2024 (2024): 77–89. http://dx.doi.org/10.37614/2220-802x.3.2024.85.005.

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Analyzing household financial security is closely related to the formation and analysis of financial resources and their allocation. This study aims to analyze the financial security of households in the Russian Arctic regions at the micro level. Key objectives include exploring various approaches to defining and evaluating household financial security, developing a system of coefficients to measure this security, applying it to Arctic regions over time, and identifying common risks and threats to household financial security in these regions. The study synthesizes existing research on househo

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Lahmiri, Salim, Mounir Boukadoum, and Sylvain Chartier. "A Supervised Classification System of Financial Data Based on Wavelet Packet and Neural Networks." International Journal of Strategic Decision Sciences 4, no. 4 (2013): 72–84. http://dx.doi.org/10.4018/ijsds.2013100105.

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The purpose of this paper is to present an automated system to classify financial data patterns as indicators of stock market future upward or downward moves. The classification system uses wavelet packet transform (WPT) for data decomposition and backpropagation neural networks (BPNN) for classification task. Its results are compared to those of a common classification system found in the literature which is based on ordinary wavelet transform (WT) and BPNN. In particular, the WPT is applied to the stock market data to obtain two categories of patterns: (i) approximation coefficients that rep

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Ahmed, Anwer S., Emre Kilic, and Gerald J. Lobo. "Does Recognition versus Disclosure Matter? Evidence from Value-Relevance of Banks' Recognized and Disclosed Derivative Financial Instruments." Accounting Review 81, no. 3 (2006): 567–88. http://dx.doi.org/10.2308/accr.2006.81.3.567.

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We provide evidence on how investor valuation of derivative financial instruments differs depending upon whether the fair value of these instruments is recognized or disclosed. Expanded disclosures and accounting practices prior to SFAS No. 133 and mandatory recognition of derivative fair values after SFAS No. 133 provide a natural setting for comparing the valuation implications of recognized and disclosed derivative fair value information. This unique setting mitigates many of the research design problems with recognition versus disclosure studies. Using a sample of banks that simultaneously

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