Finance Commons^™

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

School of 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 …

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, …

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 …

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 …

Constructing A State: Canals And The Transformation Of The Economy, Politics, And Finance In Nineteenth-Century New York, Youwei Xing

All Dissertations

This dissertation consists of three essays in economic history, unified by a focus on one of America's earliest transportation infrastructures, the canal system, in nineteenth-century New York. Each chapter explores a different aspect of the state's transformation: its economy, politics, and finance, each of which helped construct New York as the Empire State.

The first chapter studies the economic impact of canals on economic modernization from three aspects: sectoral transition, urbanization, and banking development. Contrary to much of the modern literature finds transportation infrastructure leads to decentralization, I find the opposite-evidence of centralization. Specially: (1) canal towns experienced a transition …

Is R&D Rivalry Slowing The Growth Of Productive Firms?, Yoshiki Ando, James Bessen, Xiupeng Wang

Research Collection School Of Economics

The reallocation of jobs to more productive firms is a substantial component of aggregate productivity growth, yet job reallocation rates have declined substantially in the United States. This paper explores the hypothesis that greater technological rivalry has exacerbated adjustment costs, slowing reallocation. Using microdata at the US Census and estimates of technological rivalry in firm growth regressions, we find that technological rivalry slows firm responses to productivity shocks. Firms do not expand as rapidly in the face of higher obsolescence risk. Estimating counterfactual firm growth from 1997-2018, we find that growing technological rivalry accounts for most of the decline in …

Effective Strategies For Deterring Unethical Behavior In U.S. Financial Institutions, Samuel Akinlade Sanni

Walden Dissertations and Doctoral Studies

Unethical employee behavior in U.S. financial institutions continues to erode organizational trust and firms’ brand reputation. Leaders of financial institutions are concerned that unethical employee behavior can negatively impact firms’ profitability, competitiveness, and sustainability. Grounded in Kaptein’s corporate ethics virtue (CEV) model, the purpose of this qualitative pragmatic inquiry study was to explore how organizational ethical cultures influence employees’ behaviors. Data were collected through semistructured interviews with a sample of eight leaders in New York financial institutions, with a minimum of 5 years of successful experience in building a positive ethical environment, and by analyzing publicly available documents to support …

Loan Restructuring And Deposit Growth: Evidence From The Market Discipline During The Covid-19 Outbreak, Indra Tumbelaka

Bulletin of Monetary Economics and Banking

Amid the COVID-19 pandemic, banks boosted loan restructuring efforts to offer borrowers assistance and preserve credit quality. This study employs dynamic and static panel data from Indonesian commercial banks to include restructured loans as a metric for assessing market discipline prior to and during the pandemic. Depositors shown discipline about banks’ credit risk during the COVID-19 period and exhibited heightened sensitivity to restructured loans. Subsequent analysis indicates that the association between deposit growth and restructured loans was more pronounced in government, small, and publicly listed banks during the outbreak

Financial Policy For A Green Economy In A Resource-Rich Emerging Economy, Arlyana Abubakar, Prayudhi Azwar, Riris Shanti, Salman Fathoni, Noer Aida Triandini

Bulletin of Monetary Economics and Banking

This paper analyzes policies aimed at fostering a green economy in a resource-abundant, megadiverse nation such as Indonesia. This study use Delphi and Analytic Network Process methodologies, grounded in the perspectives of regulators, academics, experts, and practitioners in the green economy, to identify the determinants of green financial policies, revealing that fiscal instruments are of paramount importance. Furthermore, both the case and the respondents are Indonesian. This underscores the necessity of instituting incentives in environmentally sustainable sectors and disincentives in carbon-intensive industries. Therefore, the suitable allocation of green budgets within fiscal policy is essential for addressing market failures and expediting …

The Proactive Approach Of Artificial Intelligence In Monitoring And Analyzing Illegal Money Laundering Operations In The Virtual World, Ammar Yasser El-Bably

Journal of Police and Legal Sciences

The research dealt with the proactive method of artificial intelligence in monitoring and analyzing non-suspicious operations of money laundering in the virtual world, especially the Internet and dark web, where it dealt with the risks created for those networks and their exploitation for the benefit of terrorist and criminal organizations, money laundering, the purchase of weapons and drugs, human trafficking and financial fraud, where Internet users around the world reached 5 billion users, and the volume of money laundering crimes became 2.8 Trillion dollars, according to United Nations and International Monetary Fund statistics 2023 AI applications where algorithms, machine learning, …