Finance and Financial Management Commons^™

A Policy Reversal As Structural Break: A Lesson From China’S Land Lease Financing For Infrastructure, Yilin Hou, Lin Li, Lei Shao

Center for Policy Research

Land-based revenues as a fiscal instrument to finance infrastructure tie public investment to real estate markets, where demand fluctuations cause fiscal consequences. This paper takes policy reversals as structural breaks and examines their impacts on infrastructure investment. We dissect China’s 2016 policy reversal that disallowed developers to finance land purchase with debt, causing sharp declines in local government land revenues, slashing their fiscal base for infrastructure investment. Using prefecture-level panel data and continuous difference-in-differences identification, we estimate the reversal reduced land-lease revenues by 55%. Two-stage least squares estimates suggest a 10% land-revenue decline translates into 6.6% investment reduction. Decomposing the …

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 …

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 …

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 …

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.

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 …

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, …

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 …

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.

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 …

Board Characteristics And Bank Performance: An Empirical Analysis Of The Size Effect In Emerging Economies, A. Bouteska, M. Kabir Hassan, Luca Pezzo, Jose Perez-Amuedo

Finance Faculty Research and Publications

Purpose

This paper aims to estimate the impacts of the board characteristics on bank performance in emerging countries, mainly focusing on the role of moderating factor.

Design/methodology/approach

Based on the literature review and the feasible generalized least squares econometric method approach, 137 deposit banks from seven emerging countries, including Saudi Arabia, Kuwait, United Arab Emirates, Bahrain, Qatar, Malaysia and Turkey, are all examined in the 2010–2022 year period.

Findings

Bank size is suggested as the statistically significant factor that moderates the association among the board characteristics, i.e. board size, duality, government ownership and bank performance. Based on the bank size, …

Beyond The Stream: Valuing Music Catalogs As An Alternative Asset Class, Amelia Jade Magay

Honors Theses and Capstones

This thesis builds a quantitative valuation framework for music catalog transactions and tests its limits systematically. The goal is not to produce a formula that perfectly prices every deal. The goal is to identify where streaming-based financial analysis is a useful underwriting tool, where it breaks down, and what categories of value investors appear to be pricing beyond publicly available streaming data.

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 …