Finance Commons^™

The Impact Of Media Convergence On Accounting Information System Effectiveness: A Contingency Conditions Perspective, Haetham H. Kasem Alkhaffaf, Alaa A. D. Taha, Arsalan Ibraheem Alafandi

Muthanna Journal of Administrative and Economics Sciences

This research investigates the effect of media convergence on AIS in SMEs in Iraq during emergencies. The adopted research methodology was quantitative in nature in which 301 accountants participated in the study, and the phenomenon was measured using partial least squares structural equation modelling (SEM-PLS). The findings reveal the net benefits of decision-making and demonstrate how useful they are for Iraqi SMEs to consider while making decisions based on the factors like civil strife and the COVID-19 outbreak. This research contributes to the literature by analysing the MCI according to the hypothetical model in the context of Iraqi SMEs and …

Developing Islamic Finance Products Between Shari Ah Compliance And Contemporary Innovation, Safaa Faleeh Hassan

Muthanna Journal of Administrative and Economics Sciences

The research aims to explore ways to reconcile adherence to the sharia principles governing Islamic financial products. The study examines how the established values and principles of the Islamic financial system contribute to enhancing trust and legitimacy, while innovation facilitates the adoption of modern financial technologies and instruments to meet evolving market needs. Drawing on a review of literature and applied studies, the research provides a theoretical framework that links the preservation of Sharia heritage with the introduction of new initiatives designed to boost efficiency and flexibility in financial services. Additionally, the study discusses the challenges that institutions face in …

The Smart Organization And Its Role In Enhancing The Quality Of Hybrid Education Through Outstanding Performance An Analytical Study Of The Opinions Of A Sample Of Professors From The College Of Medicine At The University Of Karbala, Muntadhar Zuhair Hassan

Muthanna Journal of Administrative and Economics Sciences

The research aims to demonstrate the role of the smart organization in enhancing the quality of hybrid education through the mediating role of outstanding performance, applied to a sample of professors at the College of Medicine at the University of Karbala. The research variables included (the smart organization, its dimensions of behavioral competence, strategic vision, and supportive incentive system. The dependent variable was hybrid education, its dimensions of physical and digital dimensions, and institutional support. The mediating variable was outstanding performance, its dimensions of financial perspective, customer perspective, and learning and growth). The questionnaire was used as a tool for …

(Transmuted Lower Record Type Rayleigh Pareto Distribution) Proposal: Characteristics And Application, Osama Abdul Azeez Kadhim Al-Quraishi

Muthanna Journal of Administrative and Economics Sciences

In many scientific applications, data follow a pattern indicating a rapid decline in the probability of survival over time. The Rayleigh Pareto distribution is often used to model these patterns, but it sometimes lacks sufficient accuracy in representing the points that occur at the beginning of failure. In the practical aspect, most people are exposed to sudden death as a result of respiratory infection, especially in old age, so we need distributions that are more consistent to solve these problems. The aim of the research is to study a new formula for the Rayleigh Pareto distribution by adding an additional …

The Role Of Strategic Alignment In Achieving Sustainable Competitive Advantage-An Analytical Study At Al-Maaref University College, Ali Ahmed Mohammed

Muthanna Journal of Administrative and Economics Sciences

This study aims to determine the role of strategic alignment as an independent variable and its correlation with sustainable competitive advantage as a dependent variable at Al-Maarif University College. The researcher employed a descriptive-analytical methodology, which comprised a cohort of faculty members from the college, with a sample size of 72 respondents. The researcher employed a questionnaire as the primary instrument for data collection, utilising the statistical software (SPSS) in conjunction with (Excel) for data analysis. Research has demonstrated a direct correlation and beneficial effect of strategic alignment in its dimensions (communication, value, governance, partnership, infrastructure, skills) on sustainable competitive …

Corporate Social Responsibility Disclosure And Financial Performance: Empirical Evidence From Vietnam, Nguyen T. Tran, Nhung T. Le, Tung D. Nguyen

Economic and Business Review

This study examines the relationship between corporate social responsibility (CSR) disclosure and firm performance, with particular attention to CSR's role as a mitigating mechanism during periods of economic crisis, notably the COVID-19 pandemic. Utilizing a unique hand-collected dataset comprising CSR disclosures from Vietnamese publicly listed firms in the VNR500 index between 2014 and 2021, the analysis employs both accounting-based (return on equity) and market-based (Tobin's Q) performance indicators. The empirical findings indicate a positive association between CSR disclosure and firm performance across both measures. Disaggregated analysis reveals that governance-related disclosures significantly enhance market valuation, whereas the presence of a …

The Effect Of Disaggregated Country Risk On Foreign Portfolio Investment Flows In South Africa, Paul-Francois Muzindutsi, Tristan Kyle Govender, Nokwanda Nkwanyana, Sanelisiwe Zulu, Nondumiso Myeni, Sinegugu Khuzwayo, Fikile Dube

Economic and Business Review

This study explores the relationship between disaggregated country risk and foreign portfolio investment (FPI) flows in South Africa, focusing on both the long-run and short-run effects of economic, financial, and political country risk measures on net foreign purchases of shares (NFPS) and net foreign purchases of bonds (NFPB) during the period from 1995 to 2019. We employed autoregressive distributed lag (ARDL) and nonlinear autoregressive distributed lag (NARDL) models to assess the relationships between the variables. The results indicate that all disaggregated country risk measures have a long-run effect on NFPS and NFPB, and the impacts of these risks are asymmetric. …

Analisis Dampak Kebijakan Insentif Fiskal Terhadap Tingkat Komponen Dalam Negeri (Tkdn) Industri Manufaktur Di Indonesia, Muhammad Muhammad, Riyanto Riyanto

Jurnal Kebijakan Ekonomi

Over the last decade, the manufacturing sector's contribution to Indonesia's economy has declined. In 2010, it was 29.10% of GDP, but by 2022, it had dropped to 19.14%. Employment in the sector also fell, from 14.91% of the workforce in 2010 to 13.80% in 2022. To reverse this trend, the government introduced a policy to boost the Domestic Component Level (DCL) in manufacturing. By offering fiscal incentives to industries meeting certain DCL targets, the government aims to drive economic growth and job creation. A study using BPS data from 2008-2019 shows that this policy raised DCL by 23.5%.

Exploring Successful Financing Strategies For Developing Real Estate In Cameroon, Esoh Etebe Elah

Walden Dissertations and Doctoral Studies

Financing constraints have become a significant problem for leaders of small and medium-sized enterprises (SMEs) developing real estate in Cameroon. Cameroon SME real estate development leaders often lack knowledge of financing strategies to mitigate financial barriers and improve business sustainability. Grounded in the financing constraint theory, this qualitative pragmatic inquiry project was to explore the successful financing strategies Cameroon SME real estate development leaders used. Seven leaders of Cameroon real estate development SMEs were interviewed, and public documents were reviewed. The semistructured interview and document data were analyzed using thematic analysis, resulting in five themes: (a) financing strategies, (b) funding …

Robust Ai Solutions For Financial Markets Through Generative Modeling, Dynamic Graph Learning, And Reinforcement-Based Portfolio Optimization, Jingyi Gu

Dissertations

Financial markets are inherently uncertain and dynamic, driven by complex factors such as macroeconomic signals, investor sentiment, and evolving inter-asset relationships. While machine learning has advanced financial modeling, existing approaches often fall short in addressing the real-world intricacies of finance. This dissertation confronts two critical challenges, human-driven stochasticity and risk-intensive decision-making under real-world trading constraints, while seizing a pivotal opportunity, the structural dynamics of evolving financial systems. These elements are foundational to advancing robust and practical financial intelligence.

To this end, this dissertation develops a unified framework for robust financial modeling and decision-making. The framework is architected as a progressive, …

The Cost Of Capital Calculation In The Project Finance Settings, Paweł Mielcarz, Dmytro Osiichuk, Adrian Struciński

Journal of Banking and Financial Economics

The paper aims at elucidating and solving the methodological problems around the estimation of the cost of capital in the project finance settings. By convention, capital budgeting analysts evaluate project finance ventures using the free cash flow for equity (FCFE) method, whereby cash flows, including cash, whose distribution is limited by debt covenants, are discounted with the project’s cost of equity. We argue that this approach is erroneous. From the standpoint of the sponsor company, only distributable cash flows should be taken into consideration when evaluating project finance ventures. In turn, the discount rate should be equal to the weighted …

Volatility Of The Usd/Chf Exchange Rate At The Beginning Of The Covid-19 Pandemic, Anna Gaweł, Janusz Kudła

Journal of Banking and Financial Economics

Purpose

We address the problem of forecasting USD/CHF volatility at the beginning of the COVID-19 crisis. We chose popular currencies (Swiss franc and American dollar) in the period 1.07.2020 to 31.12.2020.

Design/methodology/approach

We employed several volatility models, including APARCH, EGARCH, GJR-GARCH, TGARCH, and GARCH-MIDAS, on high-frequency USD/CHF data. Particular emphasis was placed on asymmetric models to capture volatility asymmetry.

Findings

The highest volatility occurred during the first wave of the COVID-19 pandemic. Volatility forecasts are most accurate with EGARCH and GARCH-MIDAS models that incorporate long-term asymmetry, particularly when predicting volatility over a longer planning horizon. GARCH-MIDAS models with short-term asymmetry …

Nba Player Types And Salaries: Assessing The Disparities In Pay, Nick Riccardi, Rodney J. Paul

Sport Management - All Scholarship

The purpose of this study was to identify player types that exist in the modern National Basketball Association (NBA), test whether player types are paid differently controlling for performance and other factors and construct successful rosters with cheaper payrolls.
We collected performance statistics and salary data for players and teams across five seasons (2018-19 to 2022-23). Cluster analysis is leveraged to group together player-seasons to identify the player types that exist in the NBA. Linear regression models are run to test for differences in pay by cluster membership while controlling for performance, age, and contractual details. Linear programming simulation models …

Can Correction Messages Reduce The Spread Of Fake News On Social Media? The Impact Of Information Updates On The Effectiveness Of Corrections, Kelvin K. King, Diego Escobari

Economics and Finance Faculty Publications

Although government agencies and fact-checking organizations issue correction messages to mitigate misinformation dissemination on social media, their efforts have been largely ineffective. Drawing on Information Manipulation Theory (IMT) and information extracted from over 84 million tweets, we examine the impact of correction messages and explore how different information updates affect their effectiveness. Our empirical approach differentiates between subpopulations of correction messages. The results support the existence of two distinct types: correction messages that significantly mitigate the spread of fake news—a 1 percent increase in “effective” messages decreases the spread of fake news by 0.89 percent; and those that amplify the …

Trump Administration Trade Policy: A Historical Perspective And Key Questions & Takeaways, Matthew P. Schaefer

Yeutter Institute International Trade Policy Review

Offers a historical perspective with key questions and takeaways about the Trump Administration's trade policy. Covers the periods of the first Trump Presidency (2017-2021), the Biden Administration (2021-2025), and the second Trump Administration (2025-).

Low Beta Anomaly In Some European Emerging Markets, Tadeusz Winkler-Drews, Mateusz Mogilski

Journal of Banking and Financial Economics

The aim of the study was to identify the low beta anomaly and analyse the causes of its occurrence in five European emerging markets that were components of the MSCI Emerging Markets Europe index in the period 2010–2019. It was hypothesized that the determinants of the low beta anomaly in the analysed markets are factors from at least two of the three categories of variables. Using the Betting Against Beta model proposed by A. Frazzini and L. H. Pedersen (2014), we found that this phenomenon was not identified in three markets, but occurred in the remaining two markets, for which …

Leadership Strategies To Enhance The Sustainability Of Virginia United Methodist Churches, Randolph Raymond Shelton

Walden Dissertations and Doctoral Studies

Walden University August 2025 United Methodist church attendance has declined for numerous years in the United States and other areas worldwide. Many United Methodist church leaders face challenges in achieving church sustainability. The purpose of this descriptive phenomenological study was to explore the lived experiences of Virginia United Methodist church leaders concerning leadership strategies to enhance church sustainability. The study’s conceptual framework consisted of Bass and Avolio’s full range leadership model and Lewin’s three-stage change model. The participants comprised United Methodist church leaders who held positions as Virginia Conference district superintendents, pastors, and the bishop. The data collection method was …

Real Earnings Management Among Industries: Does Market Competition Matter?, Michał Comporek

Journal of Banking and Financial Economics

This paper investigates real earnings management (REM) practices in public non-financial companies listed on the Warsaw Stock Exchange (WSE) from 2014 to 2023, focusing on sectoral differences and the influence of market competition. REM, defined as deviations from normal business operations aimed at manipulating reported earnings, can distort financial information and harm long-term firm value. This study contributes to the existing literature in two key ways. First, it examines variations in abnormal levels of production costs, sales, and discretionary expenditures – REM proxies based on Roychowdhury’s methodology – across sectors classified according to the WSE’s industry framework. This sectoral classification, …

Falling Short In The Digital Age: Evaluating The Performance Of Data Center Etfs, Davinder K. Malhotra, Ivar Kirkhorn, Frank Ragone

School of Business Faculty Papers

This study evaluates the performance of U.S. data center Exchange-Traded Funds (ETFs) relative to major equity and technology benchmarks, using monthly returns from January 2000 through December 2024, with particular emphasis on the COVID-19 period and the subsequent post-vaccine era. Data center ETFs have not provided better risk-adjusted returns even though they are often advertised as access points to the digital economy. Digital infrastructure demand increased through the pandemic but did not improve the performance of these funds which stayed weak across both traditional and conditional multi-factor asset pricing models. These ETFs struggle with asset selection and market timing proficiency, …

Tracking Impact: Leveraging Pre-Existing Monitoring Tools For Assessing Indonesia’S Free Nutritious Meal (Makan Bergizi Gratis) Programme, Putu Geniki Lavinia Natih

Economics and Finance in Indonesia

Indonesia’s Makan Bergizi Gratis (MBG) programme is among the largest school feeding initiatives globally, yet its rapid scale-up has outpaced the development of a robust monitoring, evaluation, and learning (MEL) framework capable of assessing welfare-relevant outcomes. This paper examines whether pre-existing national survey instruments can be leveraged to strengthen outcome monitoring in the absence of MBG-specific microdata. Focusing on the Food Insecurity Experience Scale (FIES) collected through Indonesia’s National Socio-Economic Survey (Susenas), the study first situates experiential food insecurity within Indonesia’s broader food security landscape. It then applies a propensity score matching framework using participation in the Bantuan Pangan Non-Tunai …