<abstract xmlns="http://www.w3.org/1999/xhtml">

Identifying the intersection between digital finance, green finance and social finance is important for promoting sustainable financial, social and environmental development. This paper suggests a link between digital finance, green finance and social finance. Using a simple conceptual model, I show that digital finance offers a smooth, efficient and seamless channel for individuals and corporations to fund social projects that deliver a social dividend, and green projects lead to a sustainable environment. The implication is that digital finance is both an enabler and a channel for efficient green financing and social financing.
</abstract>

Digital Finance, Green Finance and Social Finance: Is there a Link?

<abstract xmlns="http://www.w3.org/1999/xhtml">

Our paper studies the impacts of the Dieselgate scandal on the required rate of return on equity investments into VW, Daimler, and BMW. The object of investigation is the beta coefficient that determines the risk premium in the Capital Asset Pricing Model (CAPM). Our research takes a deep dive into the developments from the turning point of the scandal (the EPA NOTICE 2015) on September 18, 2015 – when a Notice of Violation of the Clean Air Act was issued to Volkswagen by the EPA – to the end of February 2016. This period also covers FORMAL COMMENCEMENT 2016, when the U.S. Department of Justice first sued Volkswagen on behalf of the EPA. The spillover (contagion) effect of fraudulent practices of VW impacted BMW, Daimler and other companies in the industry that share a similar business model and market segment. Our research of historical market betas has not confirmed the expectation that in the context of the Dieselgate scandal the return required on equity investments into VW, Daimler, and BMW would soar. The Dieselgate scandal proves that the reliability of beta estimates is an inverse function of market volatility. Historical market beta is, therefore, not a good estimate of the required rate of return for the companies in question.
</abstract>

The Impact of Dieselgate on the Required Rate of Return on Equity of VW, BMW and Daimler

<abstract xmlns="http://www.w3.org/1999/xhtml">

Fiscal transfer development across the world today has been in part driven by assertions of a supposed ‘economic dividend’ linked with the devolved financial spending. There is, however, little empirical evidence to validate these assertions in Kenya. It is against this background that this study was carried out to estimate the end product of fiscal transfer on regional economic growth in Kenya using a secondary panel data set. Using the ARDL estimation technique the long -run and error correction estimates of the model were generated. The findings revealed that increased fiscal transfer in recurrent budgets accelerates regional growth, hence confirming the Keynesian hypothesis. Conversely, fiscal transfer in capital expenditure was insignificant. This study recommends the need for policymakers to put in place policies and strategies that will improve budget allocation and execution in capital budgets so as to improve physical infrastructure and thus boost private productivity and consequently regional income growth.
</abstract>

Do Fiscal Transfers Foster Regional Economic Growth?

<abstract xmlns="http://www.w3.org/1999/xhtml">

The thesis deals with usury and illegal lenders both on the domestic scene and abroad. The usury itself is defined by its characteristics, by adjudication and by historical connotations. The historical definition begins in Mesopotamia and ancient Rome, basically since the emergence of money. The aim of the paper is a comprehensive overview of usury, which from the legal perspective is not precisely defined as a term and the thesis tries to find such a definition with the help of case law and interpretation. The characteristics of usury that are described in the thesis are distress, the presence of a weaker party, mental weakness, and a gross disparity of performance. The thesis also describes the history of loan sharks and usury in the United States, where violence plays a considerable part in the issue. The paper also deals with the social background of usury and illegal lenders in the United Kingdom and outlines possible solutions to eradicate these phenomena in financially disadvantaged communities. In the end the thesis attempts to find unifying characteristics of usury across history and said countries.
</abstract>

Historical Definition and Theoretical Background of Usury Loan Provisions

<abstract xmlns="http://www.w3.org/1999/xhtml">

One of the most significant changes in the field of education in this information age is the paradigm shift from teacher-centered to learner-centered education. Along with this paradigm shift, understanding of students’ e-learning adoption behavior among various countries is urgently needed. Despite being one of the many countries that are still at the early stages in implementing e-learning, Palestine is a country that has recently seen an expansion in the number of students and the quality of education, which has involved high investment in e-learning. Hence, studies in this area of research interest have yet to be made known within the field of education. This study attempted to address the disparity within the literature for an individual country, Palestine, on the significant influences towards adopting e-learning. A model that investigates the effects of quality features, perceived ease of use, perceived usefulness on the intentions and satisfaction of the learners towards the effects of e-learning is proposed in this study. This model encompassed the constructs and variables embedded in TAM and ISSM along with instructor quality. The outcomes of the model, such as actual use and the moderating effect of technical support towards e-learning in Palestine, were investigated. The study proposed that the quality of the course, instructor, service and system as well as perceived usefulness determined the satisfaction among students in use e-learning.
</abstract>

Administrative &Financial Scinces Faculty

Faculty of Economics & Administrative Sciences

Factors Driving E-Learning Adoption in Palestine: An Integration of Technology Acceptance Model and is Success Model

<abstract xmlns="http://www.w3.org/1999/xhtml">

Financial data sets are growing too fast and need to be analyzed. Data science has many different techniques to store and summarize, mining, running simulations and finally analyzing them. Among data science methods, predictive methods play a critical role in analyzing financial data sets. In the current paper, applications of 22 methods classified in four categories namely data mining and machine learning, numerical analysis, operation research techniques and meta-heuristic techniques, in financial data sets are studied. To this end, first, literature reviews on these methods are given. For each method, a data analysis case (as an illustrative example) is presented and the problem is analyzed with the mentioned method. An actual case is given to apply those methods to solve the problem and to choose a better one. Finally, a conclusion section is proposed.
</abstract>

Application of Predictive Methods to Financial Data Sets

<abstract xmlns="http://www.w3.org/1999/xhtml">

An important role in ensuring effective forms of management and increasing competitiveness is played by the process of forecasting the activity of the enterprise. This work analyzed the performance of a food industry enterprise, for which a wide range of statistical methods were applied such as methods of cluster, correlational and regression analysis, statistical tests of Fisher, Student, Farrar-Glauber, Durbin-Watson, Goldfeld-Quandt, μ-criterion, multifactor regression, trend, auto-regression models, and models of seasonal fluctuations, which provided a view of the economic properties of the enterprise profit process, in particular the auto-regression component of revenue dependence on its value last year, seasonal quarterly dependence on sales and marketing costs, product price, etc. The detected patterns will allow us to take into account these features for forecasting future revenues and for adjusting the enterprise’s decision-making system taking into account seasonal features and results of the previous year.
</abstract>

Donetsk National University after V. Stus

Taras Shevchenko Kiev National University

Comprehensive Analysis of a Company's Activity by Means of Statistical Modeling as Support for its Decision-Making System

AHEAD OF PRINT

Volume 20 (2024): Issue 2 (June 2024)

Volume 20 (2024): Issue 1 (March 2024)

Volume 19 (2023): Issue 4 (December 2023)

Volume 19 (2023): Issue 3 (September 2023)

Volume 19 (2023): Issue 2 (June 2023)

Volume 19 (2023): Issue 1 (March 2023)

Volume 18 (2022): Issue 4 (December 2022)

Volume 18 (2022): Issue 3 (September 2022)

Volume 18 (2022): Issue 2 (June 2022)

Volume 18 (2022): Issue 1 (March 2022)

Volume 17 (2021): Issue 4 (December 2021)

Volume 17 (2021): Issue 3 (September 2021)

Volume 17 (2021): Issue 2 (June 2021)

Volume 17 (2021): Issue 1 (March 2021)

Volume 16 (2020): Issue 4 (December 2020)

Volume 16 (2020): Issue 3 (September 2020)

Volume 16 (2020): Issue 2 (June 2020)

Volume 16 (2020): Issue 1 (March 2020)

Volume 15 (2019): Issue 4 (December 2019)

Volume 15 (2019): Issue 3 (September 2019)

Volume 15 (2019): Issue 2 (June 2019)

Volume 15 (2019): Issue 1 (March 2019)

Volume 14 (2018): Issue 4 (December 2018)

Volume 14 (2018): Issue 3 (September 2018)

Volume 14 (2018): Issue 2 (June 2018)

Volume 14 (2018): Issue 1 (March 2018)

Volume 13 (2017): Issue 4 (December 2017)

Volume 13 (2017): Issue 3 (September 2017)

Volume 13 (2017): Issue 2 (December 2017)

Volume 13 (2017): Issue 1 (November 2017)

Volume 12 (2016): Issue 4 (December 2016)

Volume 12 (2016): Issue 3 (October 2016)

Volume 12 (2016): Issue 2 (June 2016)

Volume 12 (2016): Issue 1 (March 2016)

Volume 11 (2015): Issue 4 (December 2015)

Volume 11 (2015): Issue 3 (September 2015)

Volume 11 (2015): Issue 2 (June 2015)

Volume 11 (2015): Issue 1 (March 2015)

Financial Internet Quarterly

   Our journal The Financial Internet Quarterly is already indexed in Emerging Sources Citation Index!   Established in 2004 with the support of the National Central Bank of Poland, the Financial Internet Quarterly (FIQ), initially 'Financial Internet Quarterly e-Finanse', is a scientific Journal published by The University of Information Technology and Management in Rzeszow, Poland. As a peer-reviewed, open-access Journal, FIQ plays a pivotal role in bridging the research gap within the European financial scholarly community, appealing to a wide array of finance professionals, academics, and students. By eliminating Article Processing Charges (APCs), it ensures unrestricted access to its comprehensive research findings. FIQ's scope spans crucial financial disciplines. It offers insights into corporate finance, focusing on investment strategies and governance. The journal delves into banking, covering risk management and financial innovation, and explores public finance topics like fiscal policy and taxation. It also examines capital markets, analyzing securities trading and market dynamics, alongside addressing insurance, accounting, and legal aspects of financial management. This broad coverage ensures FIQ's role as a pivotal platform for finance-related discourse, upheld by its distinguished Editorial Board. The Editorial Board, consisting of esteemed scholars, ensures that FIQ maintains rigorous academic standards and relevance in its publications. This commitment positions FIQ as an essential resource for advancing knowledge and fostering dialogue within the global financial community. Why subscribe and read The aim of this quarterly publication is the popularization of financial knowledge and the presentation of new ideas in this field. We publish articles covering a wide range of financial topics, including issues related to business finance, public finance, insurance, banking, accounting, capital markets and the legal aspects of financial management.  Why submit  The journal have constructive double – blind peer review process and efficient publication process.  Rejecion Rate   7%   Archiving  Sciendo archives the contents of this journal in Portico - digital long-term preservation service of scholarly books, journals and collections.  Plagiarism Policy  The editorial board is participating in a growing community of Similarity Check System's users in order to ensure that the content published is original and trustworthy. Similarity Check is a medium that allows for comprehensive manuscripts screening, aimed to eliminate plagiarism and provide a high standard and quality peer-review process. 