Finance and Financial Management Commons^™

Assessing The Influence Of Audit Committee Characteristics On The Effectiveness Of Risk Management Practices In Public Statutory Corporations In Tanzania, Gerald J. Soi, Siasa Issa Mzenzi, Said Suluo

Business Management Review

This study was conducted to examine the influence of audit committee characteristics on the effectiveness of risk management in Public Statutory Corporations (PSCs) in Tanzania, and the moderating effect of the size of an entity on this relationship. A structured questionnaire was used to collect data, which was completed by 424 chief internal auditors and directors of finance from PSCs across various Tanzanian regions, and analysed using SmartPLS (PLS-SEM) version 4.0. The findings indicate that the expertise of the audit committee and the frequency of meetings with a substantive risk agenda positively influence risk management effectiveness in PSCs. Conversely, the …

Market Reactions To Software M&A: Cross-Border Vs. Domestic Evidence, Aaryan Magan

CMC Senior Theses

The software industry in the United States has seen a period of sustained merger and acquisition (M&A) activity as firms seek synergies in diverse product offerings, efficiency plays, or intellectual capital. Within this activity is also a subset of deals that comprise U.S. acquirers transacting with foreign companies. These cross-border transactions have become an integral part of M&A strategy for companies across all industries. This paper aims to gauge investor sentiment regarding cross-border M&A deals in the software industry relative to domestic M&A deals in the software industry. The event-study methodology captures Cumulative Abnormal Returns (CAR) in two distinct event …

A New Functional Setting For Term Structure Modeling Using The Health-Jarrow-Morton Framework, Michael Pokojovy, Ebenezer Nkum, Thomas M. Fullerton Jr.

Mathematics & Statistics Faculty Publications

The well-known Heath–Jarrow–Morton (HJM) framework provides a universal and efficacious instrument for modeling the stochastic evolution of an entire yield curve by explaining the interest rate dynamics in continuous time under no-arbitrage conditions. Existing implementations involve exponentially weighted function spaces as theoretical settings for the former stochastic evolution. While the choice of weight can have a drastic effect on model calibration and subsequent forecasting, it cannot be estimated from market data and does not allow for any objective interpretation. The proposed approach does not have this shortcoming as it adopts a suitably designed unweighted function space. The HJM equation is …

The Budget, Fiscal Year 2026-2027, Tennessee. Department Of Finance And Administration

Budget Volume 1

This document is the final budget for the coming fiscal year.

Equity Fund Monthly Report, January 2026, Archway Investment Fund

Archway Investment Fund

No abstract provided.

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, …

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 …

Can Art Function As A Financial Asset Class? Conditions, Risks, And Emerging Solutions, Aurelia Labbé

MA Theses

The art market has grown significantly over recent decades, supported by rising global demand, record auction results and increasing interest from collectors pursuing financial returns. This evolution has encouraged the development of investment-oriented practices and strengthened the notion that artworks can function as financial assets. This shift takes place in a market shaped by subjectivity, opacity and limited regulatory oversight, where valuation methods, provenance documentation and professional standards remain highly uneven. These conditions make art investment particularly complex and raise essential questions about the factors that support or weaken the legitimacy of art as an asset class. This thesis examines …

Does Blue-Chip Art Genuinely Provide Diversification And Risk Mitigation Once Illiquidity, Transaction Frictions, And Survivorship Bias Are Explicitly Incorporated Into Performance Analysis, Or Is The “Safe Haven” Label Fundamentally Misleading?, Radhika Vissanji

MA Theses

Blue-chip art is widely presented as a safe haven and portfolio diversifier, particularly during periods of financial market uncertainty. This perception is reinforced by art price indices and industry reports that emphasise long-term appreciation, relatively low volatility, and weak correlation with traditional financial assets. Despite the growing prominence of these claims in advisory and institutional discourse, there remains limited agreement on whether such properties persist once the structural characteristics of the art market are fully taken into account. This thesis evaluates whether blue-chip art genuinely delivers diversification and risk-mitigation benefits under realistic market conditions. Focusing on three structural factors, illiquidity, …

Ceo Compensation Changes Following Acquisitions, Leonce Bargeron, David J. Denis

Finance and Quantitative Methods Faculty Publications

We find that CEO compensation increases following acquisitions only in those deals in which acquirer stock is used as the method of payment. These compensation increases are driven by increases in equity-based compensation and are concentrated in riskier acquirers, in riskier acquisitions, and in acquirers whose CEOs have low exposure to the stock price. We find little support for traditional agency cost explanations of changes in CEO pay following acquisitions. However, our findings are broadly consistent with compensation changes representing a contracting solution to a two-sided adverse selection problem that is present only in stock acquisitions.

The Emergence Of Buy Now Pay Later Platforms: A Business Analysis Study, Asher Frye

CMC Senior Theses

This thesis dives into the growth of Buy Now, Pay Later (BNPL) financing and its implications for consumer financial health. Using Affirm’s 2019-2024 data and recent reporting from regulators, it documents strong BNPL expansion alongside emerging concerns about repayment risk and credit score impacts. These insights motivate me to conduct an experiment testing whether clearer disclosure affects consumer BNPL choices. While the experiment shows no statistically significant effects, it underscores the need for further study of BNPL understanding and consumer behavior.

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.

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 …

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 …

Gambling Away Stability: Sports Betting’S Impact On Vulnerable H, Scott R. Baker, Justin Balthrop, Mark J. Johnson, Jason Kotter, Kevin Pisciotta

Faculty Publications

We estimate the causal effect of online sports betting on households’ investment, spending, and debt management decisions using household transaction data and a staggered difference-in-differences framework. Following legalization, sports betting spreads quickly, with both the number of participants and frequency of bets increasing over time. This increase does not displace other gambling or consumption but significantly reduces savings, as risky bets crowd out positive expected value investments. These effects concentrate among frequent bettors and low-savings households. Our findings highlight the potential adverse effects of online sports betting on vulnerable households.

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 …

Information-Processing Gap And Insider Trading Profitability: Evidence From The Xbrl Mandate, Yuyun Huang, Jerry T. Parwada, Yuan George Shan, Joey W. Yang

Research outputs 2022 to 2026

The information processing costs faced by external investors may provide corporate insiders with a comparative advantage. We examine how the phased introduction of the eXtensible Business Reporting Language (XBRL) mandate, designed to lower investors' costs of processing public disclosures, affects insiders’ trading profitability. We find that opportunistic insider sales, but not purchases, become significantly less profitable following the first wave of mandatory XBRL adoption. This decline is consistent with a reduced number of insider sales preceding 10-K filings that convey unfavorable news, as well as with a general fall in insider trading activity and profitability across all three mandate waves. …

Signals Of Value: A Comparative Analysis Of Sde And Ebitda In Predicting Microbusiness Sale Price, Joseph E. Turley

Theses, Dissertations and Capstones

This dissertation compares the predictive accuracy and stability of Seller’s Discretionary Earnings (SDE) and Earnings Before Interest, Taxes, Depreciation, and Amortization (EBITDA) in explaining realized sale prices of microbusinesses. Microbusinesses, defined as firms with fewer than ten employees and annual revenue below $2.5 million, face persistent valuation challenges due to information asymmetry, owner dependence, and informal financial reporting. The study analyzes 5,499 completed U.S. transactions from the DealStats database (2014–2024) after applying microbusiness criteria and outlier trimming. Predictive accuracy is measured by absolute percentage error between actual sale prices and prices implied by each metric. Findings show that SDE-based predictions …

Corporate Disclosure Meets Natural Language Processing: Topic Modeling, Disclosure Strategy, And Audit Implications, Wanxin Yu

2026

Corporate disclosures serve as a critical channel for firms to communicate their financial performance, strategic initiatives, and firm-specific risks. In recent years, rapid advances in natural language processing (NLP) have provided powerful new tools for extracting insights from the growing volume and complexity of corporate disclosures. This dissertation consists of three studies that explore how advanced textual analysis can reveal deeper insights into corporate disclosures, managerial behavior, and auditor practices.

The first paper (co-authored) develops a topic-based approach to measuring the substantive content of risk factor disclosures. Using an embedding-based topic modeling framework, we identify 30 interpretable risk topics and …

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 …

Essays In Consumer Credit Markets, Sarah Najafzadeh Khoei

Theses and Dissertations--Finance and Quantitative Methods

This dissertation studies how technology, market structure, and contract design shape outcomes in consumer credit markets, with a particular focus on auto lending and leasing. In the first chapter, I investigate the performance of automated underwriting systems relative to human underwriters in the auto loan market. While prior studies document the advantages of automated underwriting, I show that its performance deteriorates under conditions of heightened data uncertainty. Exploiting the COVID-19 pandemic as an exogenous shock and using a combination of difference-in-differences and regression discontinuity designs, I find that automated underwriting performs significantly worse than human underwriting during this period, particularly …

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 …

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 …

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 …