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 …

An Examination Of The Determinants Of Audit Quality: Implications From Firms Listed In Us Stock Markets, Abdelrahman Naser Elmaria

Theses and Dissertations

The purpose of this thesis is to examine the effect of several audit determinants, namely audit tenure, non-audit to audit fees ratio, auditing firm size, and firm size, impact on audit quality. This thesis extends the existing literature on audit determinants effect on audit quality using a Generalized Linear Model, (GLM) regression with robust estimation by analyzing a sample of 446 companies from the USA in the manufacture and service sectors. This is conducted through a series of diagnostic tests to identify an appropriate regression model. Such tests include testing and checking of baseline regression models to check for multicollinearity, …

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 …

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 …

Auditor Independence And Its Impact On Debt Financing Outcomes, Harry Zhou

CMC Senior Theses

This study investigates whether perceived auditor independence, proxied through proportions of non-audit service fees and client dependence of the auditor, is associated with the outcome of debt contracts. While prior research examines how these proxies relate to auditor independence itself, and other strands of literature assess how audit quality influences debt contracting, few studies evaluate whether lenders interpret auditor independence signals in ways consistent with auditors. This study aims to contribute to the broader literature by examining the auditor independence proxies and its direct relationship to debt contract structure holistically. Two OLS models were employed to investigate the relationship between …

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 …

Audit Fee Spillovers Following Sec Scrutiny: Evidence From Auditor Portfolio Effects, Rakhshaan R. Adamjee

CMC Senior Theses

This paper examines whether audit firms reprice clients that are not under Securities and Exchange Commission (SEC) review when a greater share of the auditor’s other clients face SEC scrutiny. Results indicate economically meaningful pricing spillovers. In the full sample, a ten-percentage-point increase in auditor-level exposure is associated with approximately 2% higher fees for non-scrutinized clients. The effect is stronger for Big Four networks: the Big Four slope is about 3.6% per ten points, and a Big Four only replication yields roughly 8.9%. Among Big Four, measuring exposure at the signing-office level also produces a positive but smaller association (~0.4% …

From Static Λ To Moving Penalties: Dynamic Regularization In Mean-Variance Portfolio Choice, Ariel Santiago

CMC Senior Theses

This thesis evaluates whether dynamically tuned weight penalties can improve high-dimensional mean-variance portfolio choice. Classical Markowitz portfolios perform poorly when the number of assets is large relative to the data, because small estimation errors in means and covariances can generate extreme, fragile allocations. A common remedy is to regularize the weights using L1 (lasso), L2 (ridge), or elastic-net penalties, but these are typically chosen once and held fixed. Using monthly excess returns on the 48 Fama-French industry portfolios from January 2010 to June 2025, this thesis compares penalized mean-variance and minimum-variance strategies under long-only and long-short constraints, with and without …

Do The Oscars Move Markets? Best Picture Recognition And Public Equity Responses, Avi Dayani

CMC Senior Theses

This thesis examines when culturally salient events become financially material by testing whether Academy Awards recognition is reflected in public equity markets. The central question is whether Best Picture nomination announcements and wins generate abnormal returns or abnormal trading activity for the publicly traded parent firms linked to nominated films, and whether those responses depend on the firm’s exposure to filmed entertainment. I study Best Picture nominees from 2000 through 2024, map each film to the public parent of its primary distributor, and construct a firm-by-Oscar-year sample of 119 observations. Using an event-study framework, I calculate abnormal returns as firm …

Impact Of Attention And Yield Curve On Term Structure Of Equity, Matthew C. Aved

CMC Senior Theses

This paper examines the term structure of equity and specifically focuses on the impact of term spread and market attention. The paper builds on prior work that developed the concept by adding behavioral explanations for differences between the short-term and long-term returns while also attempting to link the term structure of equity and the bond yield curve. The study examines these influences by running t-tests and regressions on dividend strip and S&P 500 return data (1996-2017) and attention data collected by Bloomberg (2010-2017). The results provide some insight into how these variables influence short-term and long-term returns; however, limited instances …

Attention And Technical Analysis: State‑Dependent Predictability Of Cnn‑Based Stock Return Forecasts, Crystal Y. Ma

CMC Senior Theses

This thesis studies how investor attention around Federal Open Market Committee (FOMC) announcements affects cross-sectional return predictability measured by a convolutional neural network (CNN) trained on price charts. I replicate Jiang, Kelly, and Xiu’s (2023) image-based CNN using 20-day OHLCV “price images,” train it on U.S. equities from 1993–2000, freeze the model, and apply it out of sample to 2001–2024 CRSP data. The CNN assigns each stock a weekly probability of outperforming which is then sorted into deciles that form high–minus–low (H–L) long–short portfolios at horizons of 1 to 10 trading days. For matched non-FOMC (control) weeks, the equal-weighted CNN …

Investor Reactions To Clinical Trial Outcomes: Interpreting Impacts Using Ai-Based Measures Of Investor Sentiment, Sofia K. Weinstein

CMC Senior Theses

This thesis examines how investors react to biotechnology firms’ clinical trial announcements and whether artificial intelligence (AI) can enhance our understanding of those market reactions. Using a representative sample of 95 firm-event observations between 2014 and 2025, the study measures cumulative abnormal returns (CARs) surrounding clinical readouts, regulatory decisions, and partnership disclosures. Event-study regressions test for heterogeneity across trial phase, therapeutic area, and textual sentiment derived from company press releases. Consistent with expectations, later-phase trials, particularly Phase II and III, produce stronger short-term abnormal returns. However, categorical variables such as phase or therapeutic area explain little of the total variation …

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. …

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 …

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 …

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.