Finance and Financial Management Commons^™

Artificial Intelligence Innovation And Stock Price Crash Risk, Junru Zhang, Chen Cui, Chen Zheng, Grantley Taylor

Research outputs 2022 to 2026

This study examines the association between artificial intelligence innovation (AII) and stock price crash risk (SPCR). AII serves as a governance mechanism that can bolster strength in internal controls, leading to increased financial transparency and thereby reducing the likelihood of future SPCR. The results hold after accounting for possible endogeneity issues Further, we find that monitoring through corporate governance mechanisms, level of following by equity analysts, and the reduced information asymmetry constitute important channels that mediate the association between AII and SPCR. Additionally, the relationship between AII and SPCR varies across corporate life cycle stages and workplace culture.

Cross Country Analysis Of Leveraged Loan Issuance: A Comparative Case Study, Cristina D. Vasquez Boero

Honors Program Theses

This paper aims to examine the dynamics of the global leveraged loan market through a cross-country analysis of 32,635 loan issuances spanning 133 industries across 29 countries between 2005 and 2024. The study analyzes key loan-level variables; including commitment size, maturity time, facility type, pledge status, priority lien, economic sector, use of proceeds, issue year, and amortization schedule to identify cross-country variation in loan issuance patterns and borrower characteristics, comparing a selected sample of international countries with the United States. The results reveal that the market for leveraged loans has grown significantly over time, specifically due to a higher frequency …

Betting Against All Betas: Do Fama-French-Carhart Factors Share The Beta Anomaly?, Kevin Jiang

CMC Senior Theses

Frazzini and Pedersen’s (2013) Betting Against Beta is an investment strategy that exploits a well-documented anomaly in the Capital Asset Pricing Model. This anomaly is called the beta anomaly, which states that the model overestimates the risk-adjusted returns of high-beta assets and underestimates the risk-adjusted returns of low-beta assets. According to the beta anomaly, betas and alphas should be negatively correlated. Frazzini and Pedersen prove that an investor is able to generate positive abnormal returns by holding a long position in low-beta assets and a short position in high-beta assets. They also show that their Betting Against Beta factor delivers …

Navigating Uncertainty In Global Auditing: Institutional Barriers, Coordination Challenges, And Auditor Responses, Eric P. Krause

2025

Enhancing transparency and coordination in global auditing is increasingly critical as financial markets become more interconnected. My dissertation examines how regulatory fragmentation and uncertainty shape cross-border audit practices and outcomes. Through three related studies, I explore the effects of economic and political uncertainty, regulatory tension, and global audit network structures on audit-related decisions and consequences. The first paper is a literature review that synthesizes findings from over 40 empirical studies on how economic and political uncertainty affect financial reporting, capital markets, and auditor behavior. Motivated by the rise of uncertainty indices—such as the Economic Policy Uncertainty (EPU) Index (Baker et …

Watchdogs Or Lapdogs: How Audit Committees Influence Financial Reporting Quality And Cybersecurity, Yanru Yang

2025

With the increasing complexity of the business environment, the role of corporate governance and oversight is expanding continuously. Grounded in archival research, my dissertation consists of three studies that explore the features of audit committees in monitoring both financial reporting and broader areas, such as cybersecurity.

The first paper, co-authored with Gopal Krishnan and Wei Yu, examines the implications of audit committee (AC) director departure for financial reporting quality and audit risk. We find that the departures in the firms with most concerning AC departures are associated with a higher likelihood of a future “Big R” restatement announcement and auditor …

2025 Crummer Truist Portfolio, Cole Cecconi, Esperanza Dickson Reyes, Gustavo Fernandez, Conner Jones, Michael Kozinski, Emily Quezada, Cristian Ramos, Polina Vlasova

Crummer Truist Portfolios

SunTrust (now Truist) endowed this portfolio to provide scholarships for future Crummer students and to give current students a practical, hands-on learning opportunity. This year, we are pleased to be able to disburse $50,000 to be used for scholarships. We are extremely grateful for this generous investment in higher education. We have all learned a great deal from this experience and the responsibility of managing real money. Our first challenge is to establish a portfolio position that takes advantage of economic opportunities while avoiding unnecessary risk and conforming to the Crummer Truist Investment Policy Statement (IPS). We are also tasked …

Confronting Indecision, Lane Allison Murray

ENGS 15.11: Design and Education

This course aims to increase students' understanding of indecision and how to confront it. The class provides insight into how the fear of the unknown holds people back from making decisions and about understanding one's values as a means to combat indecision. Students and teachers alike explore instances of indecision and evaluate their own impulses & thought processes by reflecting on the deeper reasons for their choices. Students will increase their comfort level of asking themselves and their peers questions about the values that guide them and, in doing so, strengthen their relationships with themselves and others.

Sector-Specific Volatility Management: Evidence From U.S. Equity Industry Portfolios, Ryan Enney

CMC Senior Theses

Within this paper I examine the performance of volatility management across ten U.S. equity industry portfolios. This research is motivated by Moreira and Muir’s (2017) findings, which show that scaling exposure inversely with realized volatility increases Sharpe ratios. I evaluate four distinct volatility-management techniques: one-month realized variance, one-month realized volatility, six-month exponentially weighted moving average of realized volatility (EWMA), and GARCH forecasted one-month volatility. I find that volatility-managed industry portfolios statistically and economically increase Sharpe and Sortino ratios in direct comparison to their unmanaged counterparts. The EWMA strategy provides the most robust performance after accounting for practical transaction costs and …

Navigating New Capital Sources: Financing Constraints And The Growth Of Private Credit, David George Mathias Jr.

CMC Senior Theses

The rapid growth of private credit—non-bank lending where firms receive funds directly from private lenders like asset managers, private equity firms, and institutional investors—has reshaped corporate financing dynamics. This paper examines how private credit influences firm financing constraints and macroeconomic risk through the use of a dataset consisting of private credit deals, firm-level financial metrics, and macroeconomic indicators from 1995 to 2023. Regression analysis reveals that private credit has an insignificant effect on financing constraints as it generally acts as a substitute for traditional financing and a counterforce to tightening bank policies. However, a significant relationship emerges between private credit …

Dynamic Quantile Positioning: A Visual Approach To Financial Ratio Benchmarking Against Industry Peers, Wojciech Kuryłek

Studia i Materiały Wydział Zarządzania Uniwersytet Warszawski

Purpose: This paper introduces an innovative visualization method for financial ratio benchmarking that enables comprehensive evaluation of a company’s financial performance relative to industry peers, addressing the challenge of information overload in financial analysis.

Design/methodology/approach: The method analyses data from nearly 200,000 Polish companies classified by PKD codes (aligned with NACE Rev. 2). It evaluates 14 financial ratios across five categories: sales characteristics, profitability, financial leverage, liquidity, and working capital. Each ratio is mapped against industry distributions divided into five quantiles ranging from ‘far below average’ to ‘far above average’. The visualization displays current and previous year positions …

The Usefulness Of The Industry Trade Credit Risk Indicator In The Polish Economic Realities In 2013–2023, Robert Dyrcz, Artur Hołda

Studia i Materiały Wydział Zarządzania Uniwersytet Warszawski

Purpose: The aim of this article is to introduce the methodology for creating a synthetic industry indicator of trade credit risk (PICM Risk Index©), which will be useful in forecasting the number of defaults in economic sectors. In particular, the PICM Risk Index© indicator is to be characterized by the smallest possible forecast error and is to be variable in monthly periods.

Methodology: In the construction of the indicator, the economic situation research of the Central Statistical Office was used. The research hypotheses assumed were that the indicator shows a statistically significant relationship with insolvencies in the sectors …

Three Essays On Investment Strategies, Machine Learning And Risk Management, Nafise Aalipour

Open Access Dissertations

This dissertation explores the role of frictions, regime dynamics, and predictive modeling in understanding persistent anomalies and managing financial risk in equity markets. Across three essays, I examine how transaction costs limit arbitrage opportunities, how market regimes shape the evolution of return anomalies, and how a hybrid econometric-machine learning framework can enhance risk forecasting.

The first essay investigates whether transaction costs and idiosyncratic risk constrain the profitability of long-term reversal and medium-term momentum strategies. Using a comprehensive dataset from 1927 to 2022, I estimate stock-level trading frictions through three distinct methods - Limited Dependent Variable models, Gibbs cost estimators, and …

Esg Federalism: How State Regulations Shape Esg Performance, Kameron Eck

All Master's Theses

This thesis examines how state-level environmental, social, and governance (ESG) regulations influence corporate ESG performance in the United States. Using a panel dataset that combines state ESG legislation, firm-level ESG scores from S&P Global, and financial data from Compustat (2019–2024), I employ fixed-effects regression models to analyze the relationship between state ESG regulations and corporate ESG performance. The analysis incorporates firm and year fixed effects to account for unobservable heterogeneity across companies and time, while controlling for firm-specific characteristics. Additionally, the study investigates whether board gender diversity moderates this relationship. The findings contribute to the understanding of ESG policy effectiveness …

Artificial Intelligence And Digital Technologies In Finance: A Comprehensive Review, Soudeh Pazouki, Mohamad Jamshidi, Mirarmia Jalali, Arya Tafreshi

Finance Faculty Publications

This study explores the transformative impact of artificial intelligence (AI) and digital technologies on the financial technology (FinTech) industry, highlighting their role in fostering business growth, operational efficiency, and enhanced customer engagement. AI-driven strategies have unlocked new avenues for streamlining workflows, boosting productivity, and expanding financial inclusion by reaching underrepresented populations. However, these advancements also pose challenges, including navigating complex regulatory frameworks and adapting to the rapidly evolving technological landscape. This paper delves into the macroeconomic effects of AI, examining its influence on labor markets, consumer behavior, and organizational success. Furthermore, the paper discusses blockchain applications and their potential to …

Does The Acquirer's Complexity Affect The Market Reaction To M&A Decisions?, Rajib Chowdhury, John A. Doukas

Finance Faculty Publications

We examine whether and how acquiring firms' complexity affects investor perception at the announcement of M&A decisions. Using well-established data of firm complexity developed through combining machine learning and a lexicon of words, we find a significant positive relationship between acquiring firm complexity and cumulative abnormal returns (CAR), indicating that more intricate firms are viewed as more valuable or competent in mergers and acquisitions. This association is stronger for acquirers with high operating risk, organizational capital, R&D intensity, large and independent boards, and larger targets. We also present evidence that high-complexity bidders offer higher takeover premiums. Our study contributes to …

Bed Allocation Model For Infection Control During A Pandemic, Rosemary R. Seva, Dennis E. Cruz, Lourdes Marie Tejero

DLSU Business & Economics Review

This study proposes a model of allocating beds in a hospital considering infection control during a pandemic. The problem was formulated using the quadratic assignment problem (QAP) in a multi-period planning horizon. The main objective is to

minimize the spread of infection by maximizing the total distance (TD) between areas assigned to the pandemic and non- pandemic patients. Model validation using GAMS showed that the assignment of patient groups to areas is determined by

the arrival rates of patients and the area’s capacity. The model was able to identify periods when the sharing of space was more advantageous. The model’s …

The Follower Fallacy: Revisiting Engagement Hypothesis By Evidencing Nonlinear Dynamics In Influencer Marketing, Pranjal Jain, Pooja Jain, Anju Jain

DLSU Business & Economics Review

The traditional premise posits a positive correlation between influencer following (indegree) and engagement metrics, covering likes, shares, comments, and so forth. This study aims to either affirm or dent this engagement hypothesis. Through a methodical analysis of engagement data, this research recognizes potential deviations from the anticipated linear trajectory. Contrary to antecedental social influence, campaign customization, indegree composition, and post components define diverse nonlinear trajectories, empirically challenging the existing research assumptions underlying hypothesis. By evidencing the multifaceted dynamics of influencer engagement, this study offers critical insights for marketers navigating the complexities of contemporary digital marketing landscapes, facilitating the optimization of …

European Household Savings Dynamics: Under Inflation And Post-Pandemic Shocks, Mateusz Mierzejewski, Julia Szczurek

Journal of Banking and Financial Economics

The Covid-19 pandemic, which began in early 2020, triggered a global health and economic crisis, leading to unprecedented changes in consumer behaviour and the functioning of national economies. This article examines the impact of the pandemic and the subsequent inflationary crisis on household savings levels in selected European countries. The analysis includes an assessment of household responses to changing macroeconomic conditions, such as inflation, interest rates, and household incomes, as well as the effectiveness of implemented monetary and fiscal policies. The study employs a neural network model considering autoregressive relationships in a panel data approach. The research covers data from …

Determinants Of Corporate Capital Structure And The Emerging Role Of Intangibles And Innovation: The Case Of Japanese Corporations, Michael Angelo A. Cortez

DLSU Business & Economics Review

This study aims to modernize capital structure determinants in line with changing economic environments by incorporating the function of intangible assets, particularly innovations, into capital structure decisions. Traditional independent variables such as tangibility, firm size, profitability, growth opportunities, and profitability have been thoroughly researched, but the growing importance of intangible assets and innovations in the contemporary economy with advanced technology calls for a reassessment of their impact on capital structures. I examine 95 enterprises listed in the Nikkei over 11 years (2014–2024) using cross-section generalized least squares regression and dynamic panel data estimation. Results show that corporate leverage decisions (debt-to-equity …

Assessing The Impact Of Shifting To Non- Combusted Alternatives To Reduce The Economic Cost Of Tobacco-Related Illnesses: A Cost Of Illness Approach In The Philippine Case, Christopher James Cabuay

DLSU Business & Economics Review

Smoking continues to be one of the leading causes of death and disability around the world. Recent health studies, however, have reported that these diseases are more likely to be due to the smoke from burning rather than the actual nicotine content. This study uses a cost-of-illness approach in estimating the cost of smoking-related illness in the Philippines and calculating the potential reduction in costs if a significant portion of the adult smoking population switches to the exclusive use of non-combusted alternatives (NCAs), which drastically reduces the risk of contracting smoking-related diseases. This study finds that cost reductions in the …

Vocational Education And Training (Tvet) And Its Impact On The Employment Prospects Of The Als Graduates, Martha Joy J. Abing, Mitzie Irene P. Conchada

DLSU Business & Economics Review

The pressure for technical-vocational education and training to deliver skilled and competent laborers has become a major concern in the labor market. As such, the strong desire to explore the effectiveness of TVET’s skills training programs remains. There is limited literature on the employability of the alternative learning system graduates in comparison to those graduates of the ALS program who did not pursue TVET. Using the dataset of the World Bank STEP Skills Measurement Household Survey for the Philippines, 2015-2016, this study seeks to determine whether completing TVET has significantly increased the employability of ALS graduates. Utilizing the method of …

A Review Of Climate Change And Its Financial Impact On The Transportation Sector, Ray Anthony L. Almonares

DLSU Business & Economics Review

In this paper, I review the existing literature on climate risks—both transition and physical—and their relationship with firm performance, with a specific focus on transportation finance. I find that the broad literature on carbon emissions and firm performance overlooks two critical characteristics of the global transportation sector: its heavy reliance on fossil fuels and the international scope of its operations. As a result, the conclusions drawn from this body of work may not be directly applicable to global transportation companies. Furthermore, I examine existing studies on extreme sea levels and the global maritime transportation sector, noting that these studies have …

Democratization Of The Private Markets?, Colleen Baker, Christina M. Sautter

Faculty Journal Articles and Book Chapters

U.S. initial public offerings are declining and the amount of private market assets under management are exploding. Simultaneously, the number of retail investors opening taxable brokerage accounts is increasing. Private market assets are hot. Everyone–both institutional and retail investors–wants in on the action. Yet considerations such as financial resources and U.S. securities laws make such investment less accessible for many retail investors. In this short article, we explore this changing investment landscape and, specifically, one development within this craze: retail investments in private company shares via closed-end funds (or CEFs).

Recently, CEFs like ARK Venture Fund and Destiny Tech100, Inc. …

Ai And Personal Finance: Evaluating Rules Of Thumb Generated By Chatgpt, Jing Jian Xiao, Kexin Meng

Human Development and Family Science Faculty Publications

Purpose – The purpose of this article is to evaluate the information quality generated by ChatGPT on rules of thumb in personal finance.

Design/methodology/approach – Prompts were developed to ask ChatGPT questions regarding rules of thumb in personal finance. After several iterations, we selected seven rules of thumb and asked ChatGPT to provide more in-depth information. The information was evaluated by checking its accuracy and validity based on relevant peer reviewed journal articles.

Findings – We found both advantages and limitations of using ChatGPT for information search. The advantages include its speed of information generation, width of topic generation, adaptivity …

Relationship Between Financial Literacy And Financial Behavior Among Seventh-Day Adventist Full-Time Pastors In The North American Division Of The Seventh-Day Adventist Church, Edwin G. Romero

Dissertations

Problem

This investigation intended to examine the relationship between the financial literacy components of full-time pastors and their financial behavior components. Many pastors struggle with their finances and often retire unprepared due to having inaccurate or incomplete knowledge of relevant financial information and planning strategies.

Method

This study adopted a quantitative, descriptive, and correlational approach to investigate the financial and demographic characteristics of pastors. The questionnaire completed by participants was the financial literacy questionnaire developed by Stella et al. (2020), which helped measure general financial literacy among full-time pastors, and the Financial Management Behavior Scale (FMBS) developed by Xiao (2008) …

Market Reactions To Disruptions In The Aerospace Industry: An Event Study Analysis Of Abnormal Returns And Corporate Resilience, Rose L. Lauture

Doctoral Dissertations (DBA)

This study examines the effects of component failures, regulatory actions, and safety violations on stock returns and market volatility in the U.S. aerospace sector. Using FAA incident reports, WRDS market data, and corporate disclosures, the analysis combines event study methodology with ARCH/GARCH volatility models and a multiple regression approach. The results reveal that while incident frequency does not significantly affect stock prices measured by abnormal returns, firm-specific financial indicators—such as cash holdings and book-to-market ratio—play a substantial role. The study highlights the limited explanatory power of traditional regression models and calls for the inclusion of market risk and investor sentiment …

Performance Auditing Trends At A Supreme Audit Institution: Uk National Audit Office, 1999 To 2021, Amir Michael, Laurence Ferry, Bruce Mcdonald, Henry Midgley

School of Public Service Faculty Publications

Performance audits have become increasingly important across the world. Scholars know that a variety of practices are incorporated within performance audits and have mapped this diversity. However, few quantitative studies examine performance auditing as a practice. This study fills that gap. By analyzing the published performance audit documentation of the UK National Audit Office (NAO), the study explores the influences of governmental change and crises behind changes in a supreme audit institution's performance audit. It also examines whether performance audits are diverse by examining the language used by the auditors. The study provides evidence that neither crises nor changes of …

Budgeting For Social Equity: Exploring The (Nearly) Unknown, Bruce D. Mcdonald Iii, Sean M. Mccandless

School of Public Service Faculty Publications

Public administration has become increasingly concerned with social equity, particularly in budgetary processes. Local governments have adopted so-called equity budgeting practices, yet little is understood about how and why they are adopted; what budgeting practices are deemed social equity budgeting versus traditional budgeting; what is required to adopt and implement social equity budgeting successfully; and how success is measured. We analyzed government and nonprofit documents on social equity budgeting, followed by interviews with local government budget directors serving “early adopter cities” of social equity budgeting practices. We developed a framework of social equity budgeting practices to link the findings regarding …

Innovation Reputation And Market Capitalization: The Moderations Of Firm Size, Industry, And Asset Efficiency, Arilova Randrianasolo, Alexey V. Semenov

Funded Scholarship

Purpose – This study investigates the utility of innovation reputation in boosting stock market valuations by examining the influences of firm size, industry and asset efficiency on the focal relationship.

Design/methodology/approach – The moderations were tested across two studies. Study 1 (N = 500) analyzed the influence of innovation reputation on market capitalization and the firm size moderation across manufacturing and service firms. Study 2 (N = 100) assessed the moderations of firm size and asset efficiency in high-vs low-innovation industries.

Findings – Results indicate that innovation reputation significantly predicts market capitalization, with a stronger effect for larger firms. This …

Pan-Caribbean Airlines: Unlocking Regional Aviation Potential, Dimitrios V. Siskos, Alexander Maravas, Jordan Karatzas

Publications

The Caribbean's air transport system is facing significant challenges, including operational fragmentation, excessive costs, and inadequate inter-island connectivity. These challenges limit its ability to support the region’s heavily tourism-dependent economies. This research evaluates whether consolidating small Caribbean airlines into a single or virtual Pan-Caribbean carrier could transform regional air travel. Based on financial analysis, historical traffic data, and case comparisons with airline mergers in South America and the US, the paper simulates the anticipated efficiencies resulting from route consolidation, fleet standardization, and common operational services. The research concludes that consolidation may create a regional GDP impact of up to $3.3 …