Finance and Financial Management Commons^™

Heartbeats: Sustainable Practices In Business, Natalie Pham, Shareef Awadallah, Lily Lisco, Logan Blissenbach, Nikolaos Verginis

Williams Honors College, Honors Research Projects

HeartBeats Co. LLC is a premier audio and software technology brand that brings renewed character and performance to a stagnant space, revolutionizing the listening experience by engineering a digital music platform and headphones that possess distinct style and exceptional performance. While our team identifies and tracks trends in the market, we strive to establish market trends rather than to follow them. We are a company founded on innovation, redefining the music streaming market by combining the importance of wellness with the latest audio and software technologies and innovative functionalities. This document outlines a ten-year plan for efficient and impactful scaling, …

How Does Economic Policy Uncertainty Affect Individual Contributions To Retirement Accounts?, David I. Becker

Honors Undergraduate Theses

This study tests whether Economic Policy Uncertainty (EPU) is associated with U.S. retirement contributions and whether responses differ across account types. Using annual contribution data for defined contribution plans and Traditional and Roth IRAs with the Baker, Bloom, and Davis EPU index, I estimate multivariate regressions with standard macroeconomic controls and compare contemporaneous and lagged specifications. EPU is positively associated with 401(k) contributions, negatively associated with Traditional IRA contributions in the contemporaneous model, and not statistically significant for Roth IRAs. These results suggest uncertainty may shift how households save for retirement rather than uniformly reducing retirement saving.

Essays In Housing And Consumer Finance, Spencer Stone

Theses and Dissertations--Finance and Quantitative Methods

In my first chapter, I show how consumer left-digit bias affects borrowing costs in the US residential mortgage market. I find that the distribution of mortgage rates bunch at .99-ending rates just below left-digit changing thresholds, and that this bunching is greater in the distribution of rates selected by borrowers than those simply offered by lenders. Comparing observably similar borrowers within the same 1-bp interest rate band, selecting similar mortgage products, in the same census tract and origination month, I show that borrowers receiving .99-ending rates pay significantly more fees than borrowers receiving the nearest whole-number rate just above them, …

A Strategic Analysis Of Project Learn Of Summit County, Alex Kennedy, Tyler Hutchinson, Haley Guest, Zach D. Thomas, Lizzie Sisler

Williams Honors College, Honors Research Projects

Our group is working with Project Learn of Summit County, a GED and ESL assistance program located in the Akron Public Library. Our group will be performing a strategic analysis and providing them with a strategic plan, to be presented to them at the end of the term. We aim to increase awareness for the program, point out areas of growth, and increase functionality.

Dynamic Modelling Of Shocks To Credit Spread Risk In Banking Book: Evidence From European Sovereign Markets, Yaman O. Erzurumlu, Alper Kirik, Tunc Oygur

Faculty Publications – Finance, Insurance, and Law

This research examines the relationship between credit spread risk in the banking book (CSRBB) and bond market behavior across various maturities in twelve European nations. We address the challenges banks encounter in modeling CSRBB in isolation, as directed by the European Banking Authority’s (EBA) revised guidelines, which mandate the distinct management of CSRBB and interest rate risk in the banking book (IRRBB). Utilizing IRF and VAR models, the analysis demonstrates that credit spread shocks have divergent effects on sovereign bond I-Spreads and 5-year Credit Default Swap spreads across different tenors and countries. The results also indicate that shock absorption and …

Entropic Foundation Of Finance And Physics: Securities Price Dynamics And Quantum Theory, Mohammad Abedi

Electronic Theses & Dissertations (2024 - present)

In many scientific and financial contexts, we must reason and make predictions under conditions of incomplete information. This dissertation develops Entropic Dynamics (ED) as a unified framework for deriving dynamical laws directly from principles of inference. Within this approach, probability distributions represent states of knowledge, and their evolution is determined through entropy maximization subject to relevant constraints. This leads to a novel concept of entropic time and a formulation of dynamics as an inferential process. In this talk, I will present how ED provides a common foundation across multiple domains. In physics, quantum dynamics for particles and scalar fields in …

Design Thinking For Corporate Social Responsibility Program Proposal Creation, Michelle "Mindy" D. Danovaro

University of the Pacific Theses and Dissertations

This qualitative study used action research to explore how the use of design thinking engaged employees in the creation of a corporate social responsibility (CSR) program proposal in a small- to medium-enterprises (SME) in the Sacramento region of California. The purpose of the study was to assess whether employee participation in a design thinking exercise could improve employee perception of engagement, inclusion, and reciprocity during the CSR program proposal creation. The study was grounded in social exchange theory, stakeholder theory, and design thinking methodologies. The iterative research process followed action research cycles (i.e., plan, act, observe, and reflect) integrated with …

Three Essays On Option Markets, Fangzheng Ou

Graduate Theses, Dissertations, and Problem Reports (ETD)

This dissertation includes three essays examining index option and stock option markets. The first essay investigates the pricing kernel puzzle by examining S&P 500 index option returns and empirical pricing kernels across expiration dates ranging from one month to one year. We document that at short maturities, out-of-the-money call option returns are negative and decrease with the strike price, while at long maturities, at least some are positive and increase with the strike price. Empirical pricing kernels predominantly exhibit a W-shape at short maturities, with this pattern becoming less pronounced and evolving toward a monotonically decreasing curve at longer maturities. …

The Prestige Paradox: Can Venture Capital Prestige Lead To Lower Startup Exit Rates?, Charlie Fenollosa

Honors Theses

This project investigates how the prestige of VC firms investing in early-stage startups affects the likelihood of successful exits, defined as IPOs or acquisitions. Using Crunchbase data on companies, funding rounds, and investments, I construct six measures of prior VC success to proxy for prestige. Contrary to conventional expectations, VC prestige is not associated with increased exit probability, a finding robust to composite, LASSO-selected, and PCA-based indices. Further analysis suggests this relationship is driven by mechanisms through which high VC prestige paired with large syndicates and high funding may create frictions, while prestigious VCs help smaller companies grow more effectively.

Detection Of Financial And Political Fake News As A Measure To Prevent Instability In Financial Markets, Konstantyn Malyshenko

DLSU Business & Economics Review

This article explores the role of social networks as a catalyst for instability in financial markets. Its purpose is to present strategies for mitigating the media’s influence on adverse outcomes, primarily by analyzing the information cascades and related transactions in stock markets. The innovative aspect of this research lies in the development of methods for analyzing specific types of information, particularly media reports, to identify indicators of fake that distort public perception. The focus of this study is on fake news and the analysis of its potential linguistic features for identification purposes. A significant outcome of this research is the …

Bitcoin Halving: How Effective Is It In Driving Cryptocurrency Market Dynamics?, Nyoman Sri Subawa, Caren Angellina Mimaki, I. Made Oka Mahendra, Made Srinitha Millinia Utami

Research outputs 2022 to 2026

Bitcoin halving is a quadrennial event that halves mining rewards and is believed to influence cryptocurrency prices and cryptocurrency market dynamics. This study examines the effect of Bitcoin halving on Cryptocurrency Prices, with Government Regulations, Market Sentiment, and Cryptocurrency Performance as mediating variables. A quantitative research approach was employed, gathering original data via survey instruments from 294 participants within the cryptocurrency community in Bali, which were analyzed using PLS-SEM. The findings indicate that Bitcoin halving exerts a favorable and statistically meaningful influence on Government Regulations, Market Sentiment, Cryptocurrency Performance, and Cryptocurrency Prices. Market Sentiment fully mediates the influence of Government …

Stringency Of Family Firms And Owner-Managers In The Transition To Low-Carbon Emissions, Morten Bennedsen, John Doukas, Halit Gonenc

Finance Faculty Publications

This study examines the relationship between carbon emissions and stock returns, with a focus on the role of family ownership and management. Using a sample of 435 publicly listed firms from 14 Western European countries over the period 2010–2020, we explore whether financial markets perceive family-controlled firms, particularly those led by family-member CEOs, differently in terms of their commitment to sustainable practices. Consistent with prior research, our results indicate that firms with higher emissions earn higher stock returns while simultaneously experiencing lower market valuations, consistent with the presence of a carbon risk premium driven by elevated carbon transition risk. Crucially, …

Machine Learning: Thematic Feature Grouping, And The Magnificent Seven: A Forecasting Analysis, Mirarmia Jalali, Mohammad Najand, Andrew Cohen

Finance Faculty Publications

This study examines the predictability of monthly excess returns for the “Magnificent Seven” U.S. technology firms using machine learning and economically motivated thematic feature grouping. Framed as a focused study of the most systemically consequential equity panel in modern markets—seven firms representing over 30% of the S&P 500—the analysis confronts a small-N, large-P environment where economically structured dimensionality reduction is essential. Using 154 firm-level characteristics categorized into 13 economic themes, we evaluate linear, penalized, tree-based, and neural network models in a small-N, large-P setting. Unrestricted models suffer substantial overfitting and fail to outperform the historical average benchmark out-of-sample. In contrast, …

Does Bidder Complexity Affect Market Reactions To M&A Decisions?, Rajib Chowdhury, John A. Doukas

Finance Faculty Publications

We examine whether and how bidder complexity influences investor reactions to merger and acquisition (M&A) announcements. Using an established measure of complexity, we find a significant positive relationship between acquiring firm complexity and cumulative abnormal returns (CAR). This suggests that investors perceive more complex firms as capable and value-enhancing participants in M&A activities. The association is particularly strong for bidders with high operating risk, greater R&D intensity, and larger firm size. We also find that complex bidders tend to offer higher takeover premiums. Overall, our study contributes to the literature by demonstrating that bidder complexity is an important determinant of …

International Evidence On The Relationship Between Financial Literacy And Corporate Cash Holdings, Kenneth Yung, Reza Kahibavil, Su Li, Arian Amidi

Finance Faculty Publications

This study is the first investigation of the relationship between corporate cash holdings and financial literacy (FL). We find that a one‐standard‐deviation increase in FL is associated with an 8%–27% reduction in corporate cash holdings, depending on the measure of FL used. Moreover, higher FL reduces the market value of excess cash, indicating that financially literate environments discourage value‐destroying cash accumulation. The results remain robust across alternative definitions of FL and cash holdings, estimation methods, and country subsamples. We further rule out the influence of endogeneity, refinancing risk, and variation in cash needs. Additional analyses identify agency costs as the …

Natural Resource Rents And Energy Poverty Nexus In Next Eleven Economies, Muhammad Salah Uddin, Ayub Ali, Zobayer Ahmed, Md Nasir Uddin Sikdar, Ahsan Habib, Abdullah Elah Al-Mahde

Finance Faculty Publications

Energy poverty (EP) remains a persistent global challenge with important implications for economic development, public health, and social welfare. While natural resources, particularly oil and gas, are often viewed as key sources of energy access, their effectiveness in mitigating EP remains underexplored in emerging economies. This study examines the relationship between natural resource rents (NRR), specifically oil rents (OR) and natural gas rents (NGR), and energy poverty (EP) in the Next Eleven (N-11) countries from 2000 to 2020. The primary objective is to assess how NRR influences EP at various levels of poverty using the Method of Moments Quantile Regression …

How Operational And Disclosure Complexity Shapes The Conglomerate Discount, Feng Dong, John A. Doukas, Son Wilson, Rongyao Zhang

Finance Faculty Publications

This study examines how firm operational diversification and disclosure complexity jointly drive the conglomerate discount. We disentangle disclosure complexity, which is determined by managerially influenced financial transparency, from accounting complexity, which is a direct informational consequence of operational complexity. We find that operational diversification is consistently associated with significant conglomerate discounts, while disclosure complexity independently reduces firm value and amplifies the magnitude of the discount when diversification is high. These findings suggest that transparent disclosures can mitigate valuation costs, offering important implications for managers seeking effective communication, investors assessing complex firms, and policymakers aiming to enhance disclosure quality and market …

Data Utilization In Facilities’ Performance Management Decision- Making At U.S. Four-Year Public Institutions: A Cross-Sectional Exploratory Study, Tanaporn Supanichrattana

Theses and Dissertations

The growing complexity of higher education finance, aging infrastructure, and rising accountability expectations has intensified demands on facilities organizations to manage institutional assets strategically. As colleges and universities face sustained fiscal constraints and expanding operational pressures, the ability of facilities leaders to use data to inform performance management has become increasingly critical. Despite this importance, limited empirical research has examined how facilities leaders integrate data into decision-making within public higher education contexts.

The quantitative study employed a cross-sectional, exploratory survey design to investigate data utilization practices among facilities leaders at U.S. public four-year institutions. Guided by the Data–Information–Knowledge–Wisdom hierarchy and …

The Investor Perspective Of Materiality, Sam Lessinger

Honors Undergraduate Theses

Often auditors are asked to adopt the reasonable investor perspective in their materiality evaluations however, there is no consensus regarding what investors deem to be material. This can lead to confusion in the markets. In fact, past studies have shown how taking an investor perspective can backfire and may result in more leniency and fewer misstatements being deemed material by auditors. This leniency can, potentially, result in financial statements that mislead investors. The aim of this paper is to address the reasonable investor perspective to achieve a more complete understanding of an investor’s viewpoint. This study also incorporates the effect …

Financial Literacy And Inclusion Of Philippine Jeepney And Tricycle Drivers, Bryan N. Bernabe, Jyro B. Triviño

Leadership and Strategy Faculty Publications

The study investigated how the different elements of financial literacy influence the financial inclusion of jeepney and tricycle drivers in Caloocan, Metro Manila. Pearson correlation analysis revealed a positive correlation between financial inclusion and attitude, behavior, knowledge, and skills. Additionally, analysis of variance highlighted that education and age play significant roles in enhancing financial literacy. The linear regression findings also supported the idea that income acts as a positive moderator, augmenting the impact of financial literacy on financial inclusion. The study attempted to disaggregate its financial literacy components to understand their impact on financial inclusion, but its interrelationships also require …

Lost In The Language: Data Breaches And The Strategic Fog Of Risk Disclosures, Ling Tuo, Shipeng Han

Accounting Faculty Publications

This study examines whether firms strategically adjust the readability of Item 1A (“Risk Factors”) disclosures following data breaches. Using U.S. firm-year observations from 2006 to 2023, we find that data breaches are associated with a significant decline in Item 1A readability. This decline is not accompanied by a meaningful increase in informational content; instead, post-breach disclosures exhibit higher syntactic complexity, more positive tone, and lower textual similarity to prior and industry peers' filings, consistent with strategic obfuscation rather than transparent reporting. The readability decline is amplified among firms facing higher litigation risk but attenuated among firms with stronger reputations for …

Evaluating Machine Learning Models For Corporate Financial Forecasting: A Study Of The Dow Jones 30, Faizan Arjamand Ali

Senior Honors Theses and Projects

This research seeks to determine the effectiveness of machine learning models in predicting revenues of corporations compared to conventional models of financial forecasting. The investigation is based on a group of 21 companies that maintained membership in the Dow Jones Industrial Average (DJIA) between 2010 and 2025. Two machine learning algorithms are assessed: Random Forest and XGBoost. They are compared with the naïve growth model and deterministic linear trend, which serve as benchmarks. To check for statistical significance, the Wilcoxon signed-rank tests are used to compare the mean absolute percentage error (MAPE) and the root mean squared error (RMSE) of …

Beyond Price: How Platform Power Shapes Demand Allocation In Online Hotel Channels, Ling Ling, Timothy Webb, Zvi Schwartz

Human Movement Studies & Special Education Faculty Publications

Rate disparity remains a widely used but poorly understood pricing strategy in the hotel industry. While previous research generally assumes that lower prices shift demand toward less expensive channels, this study investigates whether such effects occur in practice. Using high-frequency booking and pricing data from five full-service hotels across multiple online travel agencies (OTAs), we analyze how rate disparity relates to the distribution of demand across channels. The findings show that the impact of price differences is limited, highly non-linear, and strongly dependent on contextual factors. Channel market power and hotel-specific characteristics seem to play a more significant role than …

Who Invests In Crypto? Revealed Types And Economic Drivers Of Retail Investment, Darren Aiello, Scott R. Baker, Tetyana Balyuk, Marco Di Maggio, Mark J. Johnson, Jason Kotter

Faculty Publications

Using transaction-level data from millions of U.S. households, we provide the first comprehensive characterization of retail cryptocurrency investment. Crypto investors are distinguished not by demographics but by a latent behavioral type revealed through consumption patterns—one that also predicts higher participation in traditional equity brokerages. The economic forces driving crypto investment, including income shocks, workplace peer effects, and inflation exposure, mirror those driving traditional investment. Crucially, households whose consumption matches the crypto-investor profile are more responsive to all these drivers across both asset classes, suggesting that investor type is a more relevant distinction than asset class.

When Money Moves In: The Consequences Of Housing Wealth, Darren Aiello, Jason Kotter, Gregor Schubert

Faculty Publications

We construct a novel dataset of millions of household moves over 25 years to examine how housing wealth affects purchase decisions. We find that a $1 exogenous increase in housing equity leads movers to pay a $0.06 premium on their next home, controlling for property characteristics and time-varying local prices. This behavior is driven by search frictions— wealthier households pay a premium rather than incur additional search costs. In aggregate, these decisions spill over to the broader housing market and cause upward regional price pressure. A 10% increase in equity gain among incoming movers increases local house price growth by …

The Effects Of Financing Green And Brown Sectors: What Do Theories And Evidence Say?, Hao Liang, Maria Teresa Punzi

Research Collection Lee Kong Chian School Of Business

This paper critically examines the economic and welfare implications of financing green and brown sectors. Drawing on a comprehensive review of recent theoretical and empirical literature, we highlight that while conventional green finance—allocating capital toward environmentally friendly (“green”) sectors and away from carbon-intensive (“brown”) sectors—can promote decarbonization, it may also produce unintended externalities. In particular, it can inadvertently incentivize higher emissions from brown firms and contribute to economic disruption. Using a dynamic stochastic general equilibrium (DSGE) model, we demonstrate that lowering the cost of capital for green sectors leads to only modest reductions in emissions, whereas raising it for brown …

Policy Uncertainty Reduces Green Innovation, Mengyu Wang, Jeffrey Wurgler, Hong Zhang

Research Collection Lee Kong Chian School Of Business

Policy uncertainty can undermine the power of government subsidies to stimulate environmentally friendly research and development. We show that Chinese firms’ green R&D falls as the uncertainty of environmental subsidies rises: Exogenous, weather-driven air pollution variability induces subsidies to fluctuate, and firms in areas with high weather-driven subsidy variability undertake less green R&D and hire fewer technical employees, controlling for the average level of subsidies. Heavy emitters and environmental technology firms are more affected. The results also illustrate how policy uncertainty can arise when policymakers are influenced by conditions that are salient but with causes that are difficult to disentangle.

Large Owner Expropriation Threat And Stock Option Pay's Effect On Firm Risk-­Taking Behaviors In Weak Institutions, Cuili Qian, Lipeng (Gary) Ge, Xuesong Geng, Jiatao Li, Maria Hasenhuttl

Research Collection Lee Kong Chian School Of Business

Research Question/Issue: This study investigates the impact of managerial stock option pay on firm risk-­ taking behaviors in aweak institutional context, a critical question that has been overlooked by the literature. Specifically, we build on the comparative corporate governance perspective that emphasizes the implications of large shareholders' expropriation threat in weak institutions to develop predictions about their impact on the stock option's incentive alignment effect. We further explore the boundary conditions of such a relationship.Research Findings/Insights: Based on a sample of Chinese listed firms between 2006 and 2016, we find that a high level of large shareholders' expropriation threat weakens …

Well, If You Put It That Way Three Studies On Contract Framing In Incomplete Contract Environments, Garrison L. Nuttall

Graduate Studies Theses and Dissertations 2026

This dissertation contains three studies examining contract framing, with implications for how organizations structure and frame performance-based compensation systems. Across all studies, I compare penalty contracts to bonus contracts with gain framing and bonus contracts with loss framing. My first study examines how managers prefer to frame performance-based compensation systems on average and identifies how the traits trust propensity, empathy, personal norm of reciprocity, loss aversion, Machiavellianism, and critical thinking disposition are associated with certain preferences. I find that mangers prefer bonus contracts to penalty contracts on average and that empathy is positively associated with this preference. My second study …

Strategic Signaling Or Structural Friction?: How Ai Disclosure Moderates Resource-Performance Dynamics In Hotels And Restaurants, Jaewan Heo

Graduate Studies Theses and Dissertations 2026

Artificial intelligence (AI) has become an increasingly important strategic issue in the hospitality industry. While prior research has primarily examined AI as an operational technology that improves efficiency and service delivery, less attention has been paid to how AI-related disclosures influence investor evaluations of firm resources. This dissertation investigates whether AI-related disclosures moderate the relationship between organizational resources and financial performance in publicly traded hospitality firms.

Drawing on signaling theory and the resource-based view, this study conceptualizes AI disclosures as strategic signals that shape investor perceptions of firm capabilities and future value creation. Firm-level financial data were obtained from Compustat …