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Articles 1 - 30 of 2799
Full-Text Articles in Finance and Financial Management
Tourism Dependency: Prosperity Or Precarity, Samson Eby
Tourism Dependency: Prosperity Or Precarity, Samson Eby
Finance Undergraduate Honors Theses
Tourism Dependency: Prosperity or Precarity
Is being tourism dependent in a developing country a beneficial tool to use to grow economics
The Long Tail: Business Viability After The Crisis, Emma M. Woo-Ming
The Long Tail: Business Viability After The Crisis, Emma M. Woo-Ming
Economics Undergraduate Honors Theses
This thesis examines the barriers to business growth and youth development in Dangriga, Belize, within the broader context of post-crisis economic recovery. Despite Belize’s record-breaking tourism arrivals in 2024, Dangriga has not experienced parallel growth, hindered by limited government support, insufficient infrastructure, and gaps in workforce readiness. Through field research, stakeholder interviews, and the development of tailored business strategies, this project identified critical needs in risk assessment, collaboration, and youth engagement. The findings underscore the interconnectedness of politics, culture, and economics in shaping local business ecosystems, and highlight the importance of adaptable, context-specific solutions over the direct application of models …
Unearthing Potential: Impact Investors’ Perspectives On Egypt’S Social Enterprise Market, Yousef Hesham Shoukry
Unearthing Potential: Impact Investors’ Perspectives On Egypt’S Social Enterprise Market, Yousef Hesham Shoukry
Theses and Dissertations
This thesis examines impact investing in Egypt from the vantage point of the impact investors, revealing that Egypt's constraint is not the availability of capital but its direction, as the absence of legal recognition, coordinated intermediaries, and a shared impact-measurement standard keeps capital out of a market otherwise rich in social enterprise potential. The study employed a constructivist grounded theory approach, drawing on eleven semi-structured interviews with impact fund managers, ecosystem enablers, and public-sector policy advisors operating in or considering Egypt's social enterprise market. Data revealed that practitioners converge on the founding principles of impact investment (combined financial and social …
A Machine Learning And Artificial Intelligence Sentiment Analysis Of Esg Disclosures, John Barnett Davis
A Machine Learning And Artificial Intelligence Sentiment Analysis Of Esg Disclosures, John Barnett Davis
Graduate Theses and Dissertations (2019 - present)
This dissertation examines whether environmental, social, and governance (ESG) disclosure sentiment extracted from SEC Form 10-K Item 1A risk disclosures aligns with Bloomberg ESG scores. The study combines SEC textual disclosures, Bloomberg ESG ratings, firm financial data, executive compensation data, and executive gender characteristics. Natural language processing and artificial intelligence methods, including FinBERT, Loughran-McDonald sentiment measures, BART-MNLI zero-shot classification, LLaMA-based ESG scoring, and readability analysis, are used to evaluate ESG-related disclosure signals. Results reveal that SEC 10-K Item 1A risk-factor sentiment and Bloomberg ESG scores represent related but distinct constructs. ESG sentiment in Item 1A is poorly aligned with third-party …
The Information Content Of The Implied Volatility Term Structure Slope For Forecasting Commodity Market Volatility, Lawrence E. Mckenzie
The Information Content Of The Implied Volatility Term Structure Slope For Forecasting Commodity Market Volatility, Lawrence E. Mckenzie
Doctoral Dissertations (DBA)
This study evaluates the implied volatility term structure (IVTS) slope (𝜅) for forecasting 21-day realized volatility against traditional time-series benchmarks and a 3-month continuous futures baseline. Using a matched sample of eight energy and agricultural commodities spanning 2007 to 2019, the study explicitly tests whether the option-implied slope contains unique predictive information beyond deferred price histories. The empirical findings yield three primary insights. First, redundancy testing indicates that the slope parameter delivers a statistically significant, independent risk signal even when controlling for deferred continuous futures paths. Second, an integrated joint encompassing framework that combines near-term historical volatility, generalized autoregressive conditional …
Who Bears The Burden: Tax Incidence And Water Governance In The Middle Rio Grande Conservancy District (Mrgcd) Within Bernalillo County, Michael W. Wilson
Who Bears The Burden: Tax Incidence And Water Governance In The Middle Rio Grande Conservancy District (Mrgcd) Within Bernalillo County, Michael W. Wilson
Economics ETDs
This study examines how property-value-based assessments within a large western irrigation and flood-control district distribute fiscal burdens across property owners. The empirical analysis is restricted to Bernalillo County within the Middle Rio Grande Conservancy District (MRGCD), using parcel-level administrative data from fiscal year 2025 merged with 2021 irrigation service records and geospatial information. The analysis classifies 34,397 parcels by irrigation status, agricultural valuation enrollment, and primary use to evaluate whether non-irrigating residential and commercial parcels, including renter-occupied properties that lack direct irrigation access, bear a disproportionate share of financial responsibility for a district whose first listed priority under their primary …
Cdt-1d Cnn Integration With Simpson-Sobolev Regularization For High-Frequency Options Trading: With Fem-Based Heston Option Pricing, Daniel M. Margolis, Johannes Tausch, Arthur K. Selender
Cdt-1d Cnn Integration With Simpson-Sobolev Regularization For High-Frequency Options Trading: With Fem-Based Heston Option Pricing, Daniel M. Margolis, Johannes Tausch, Arthur K. Selender
Mathematics Theses and Dissertations
This dissertation presents a computational framework for high-frequency options trading that combines Cross-Data-Type 1-D Convolutional Neural Networks (CDT-1D CNN) with Simpson-Sobolev regularization for directional prediction, and finite element methods (FEM) for realistic option pricing during backtesting. The core innovation lies in developing a mathematically rigorous regularization approach that maintains the adaptability of modern deep learning while enabling accurate evaluation through stochastic volatility models. The primary contribution is the Simpson-Sobolev regularization scheme, which extends traditional Sobolev regularization by incorporating Simpson’s rule for numerical integration. This approach achieves higher-order accuracy in approximating the Sobolev norms that control function smoothness. Simpson’s rule attains …
The Dynamics Of Beta Mean Reversion, Dimitry Afanasenko
The Dynamics Of Beta Mean Reversion, Dimitry Afanasenko
Finance: Undergraduate Distinction Theses
This thesis examines whether firm-specific characteristics help explain cross-sectional variation in the speed of beta mean reversion among large-cap U.S. equities. Using WRDS market-model betas based on trailing weekly returns, the study constructs non-overlapping annual June beta observations for a stable sample of 190 firms that remained continuous constituents of the S&P 500 from 2000 through 2024. The analysis proceeds in three stages. First, pooled and fixed-effects panel regressions test whether beta mean reversion exists in the sample overall. Second, a firm-specific persistence parameter, gamma, is estimated from rolling ten-year windows of annual betas in order to measure differences in …
Daniels Distinction Portfolio By Adrian Minde Hunshammer, Adrian Minde Hunshammer
Daniels Distinction Portfolio By Adrian Minde Hunshammer, Adrian Minde Hunshammer
Finance: Undergraduate Distinction Portfolios
A Daniels Distinction Portfolio of experiential education by Adrian Hunshammer.
Modeling Volatility Dynamics In The U.S. Public Real Estate Stock Market: Evidence From Conditional Volatility Decomposition And Sector Benchmarking, Mariam Mohamed El Naghi
Modeling Volatility Dynamics In The U.S. Public Real Estate Stock Market: Evidence From Conditional Volatility Decomposition And Sector Benchmarking, Mariam Mohamed El Naghi
Theses and Dissertations
This study examines volatility dynamics between the U.S. public real estate stock market and the broader equity market, with a focus on sectoral conditional volatility sensitivity to market conditional volatility across different volatility regimes. Using daily stock price data from to , conditional volatilities of real estate stocks and the market index are estimated through a GARCH-framework that incorporates Monday and Friday dummy variables in both the conditional mean and conditional variance equations as controls for calendar-based anomalies. The estimated conditional volatilities are used to estimate volatility-to-volatility elasticities at the firm and aggregate levels and are benchmarked against other equity …
Does Green Pay Less? Global Corporate Bond Evidence On Primary And Secondary Yields, Youssef El Kenawy
Does Green Pay Less? Global Corporate Bond Evidence On Primary And Secondary Yields, Youssef El Kenawy
Theses and Dissertations
The greenium, or green premium, refers to the lower yield that arises from a bond’s green label, conditional on otherwise identical contractual features and credit risk. In our study, we estimate the greenium by combining causal matching techniques with a neural network–based propensity score approach to construct a closely comparable set of green and conventional bonds. Our empirical framework incorporates issuer fixed effects and currency × issuance-year fixed effects, ensuring that our estimates reflect the impact of the green label itself rather than differences in macro-financial conditions or issuer composition.
Our findings indicate that, once currency-specific issuance-year conditions are absorbed, …
Ai-Augmented Financial Advisors: Comparing Ai And Human Analyst Investment Recommendations In Agreement, Performance, And Firm Size Effects, Crystal Chen
Honors College Theses
This study examines the level of agreement and performance between artificial intelligence (AI) generated investment recommendations and human analyst recommendations across U.S. publicly traded firms. Using a sample of twelve companies categorized by firm size (large, mid, and small), the study collects buy, hold, or sell recommendations from generative AI systems and human analysts. Agreement between AI-to-AI and AI-to-human recommendations is measured using Cohen’s Kappa agreement. Portfolio performance is evaluated by constructing equal-weighted portfolios for each recommendation source and size category. Risk-adjusted returns are measured using the Sharpe ratio over 1-, 2-, and 3-month periods. Furthermore, the study tests whether …
Decision-Making In Early-Stage Startups: How Venture Capitalists And Angel Investors Evaluate Uncertainty, Andrew M. Pence
Decision-Making In Early-Stage Startups: How Venture Capitalists And Angel Investors Evaluate Uncertainty, Andrew M. Pence
Dissertations
The purpose of this dissertation is to examine how venture capitalists (VCs) and angel investors (AIs) make investment decisions regarding early-stage startups. Using an Interpretative Phenomenological Analysis (IPA) framework—consisting of three core components: phenomenology, hermeneutics, and idiography—this study draws upon three decision-making models: the Rational Actor Model (RAM), the Heuristics and Biases model (H&B), and the Naturalistic Decision-Making model (NDM) to explore what motivates VCs and AIs to choose, for instance, “Company A over Company B.” Semi-structured interviews were conducted with 10 experienced venture investors to examine how they evaluate risk, assess founders and teams, and navigate the persistent uncertainty …
Crowding In Private Capital For Climate Adaptation In India, Shreya Bajaj
Crowding In Private Capital For Climate Adaptation In India, Shreya Bajaj
Master in Public Policy Theses
Reports show that India is highly vulnerable to climate change. Mitigation efforts alone cannot address these risks, and adaptation remains essential. Yet while much of the existing literature documents the adaptation finance gap, it offers less practical guidance on where private capital can realistically be used and what institutional arrangements are needed to make it work. This paper tries to address that gap in the Indian context.
This paper examines three adaptation finance use cases through which private capital could support climate adaptation and resilience in India: parametric disaster risk transfer, pooled municipal finance, and water fund. For each issue, …
A Just Reimagining Of The Loss & Damage Fund, Sarah Cheung
A Just Reimagining Of The Loss & Damage Fund, Sarah Cheung
Master in Public Policy Theses
The Fund for Responding to Loss and Damage (FRLD), established at COP28 in 2023, represents a historic diplomatic breakthrough in multilateral climate finance, yet its design reflects the compromises necessary to secure political agreement rather than a just institutional architecture. This thesis evaluates the FRLD and two prominent reform proposals—the Bridgetown Initiative 3.0 and Esther Duflo's Grand Bargain—against a novel framework that provides a more precise way to evaluate the “justness” of different arrangements. This framework encompasses three dimensions: compensatory, distributive, and procedural justice. [JS1] A dimension of justice is achieved in a two-fold manner; first, through rhetorical commitments in …
The Regionalization Of The North American Auto Industry: A Comparative Analysis Of Automotive And White Goods Trade Under Nafta And The Usmca, 1990-2024, Helen Alexandra Helfgott
The Regionalization Of The North American Auto Industry: A Comparative Analysis Of Automotive And White Goods Trade Under Nafta And The Usmca, 1990-2024, Helen Alexandra Helfgott
Master in Public Policy Theses
This research examines whether the auto-specific provisions introduced under the North American Free Trade Agreement (NAFTA) and the US-Mexico-Canada Agreement (USMCA) have had a measurable regionalizing effect on North American export flows. The USMCA's auto-specific provisions, established in the rules of origin requirements (ROOs), increase regional value content requirements (RVC) while imposing new requirements for labor value content (LVC), steel and aluminum sourcing, and core parts. This research assesses whether these provisions are associated with a distinctive pattern of intra-regional export concentration not present in other sectors.
The study employs a descriptive comparative framework using data from UN Comtrade, spanning …
Stablecoins, Geopolitical Shocks, And Imperfect Arbitrage: A Case Study Of Türkiye, Vincient Arnold
Stablecoins, Geopolitical Shocks, And Imperfect Arbitrage: A Case Study Of Türkiye, Vincient Arnold
Master in Public Policy Theses
On March 19, 2025, a key Turkish opposition political figure was unexpectedly arrested on what were presumed to be politically motivated charges. In response, the lira depreciated sharply. Meanwhile, Türkiye has a large and active dollar stablecoin market. Using a time series dataset of trade-frequency Tether vs. lira trading, I exploit this natural exogenous geopolitical risk-off event to investigate the response function of stablecoin traders active in Türkiye to this shock. I find that the shock is associated with a large (5.33% ) abnormal depreciation of the lira. Further, I show that the shock is associated with an abnormal widening …
Technology’S Historical Impact On The Wealth Management Business And How Advisors Plan To Evolve Around Career Challenges Posed By Artificial Intelligence, Nick George
Undergraduate Honors Theses
The past few decades have molded our contemporary financial experiences and have forced financial advisors to plan for a career-altering pivot in the near future. Over the last fifty years, wealth advisors have seen dozens of incidents known as “extinction-level events”, described as the two-way path a consultant faces when new technological advancements occur. We used data collected from real-world financial advisors, client service associates, and academic publications to assess the next big turning point of the industry, Artificial Intelligence, and how it both differs and relates to other developments of this caliber within the industry, such as the rise …
Monetary Policy Regimes And Commercial Real Estate A Comparative Analysis Of The Relationship Between Interest Rates And Capitalization Rates In The Post-Gfc And Post-Covid Periods, Brooke Matney
Honors Theses
This study analyzes the relationship between U.S. interest rates and capitalization rates within commercial real estate under different monetary policy regimes. Specifically, the research examines whether the relationship between interest rates and cap rates changed structurally between the post-Global Financial Crisis (GFC) period and the post-COVID tightening cycle. Using quarterly data from 2000–2025 obtained from Federal Reserve Economic Data (FRED), the study compares movements in the 10-Year U.S. Treasury yield and a constructed cap rate proxy derived from rental income and property price index data. Linear regression analysis was conducted across three monetary policy periods: the post-GFC expansionary environment (2010– …
Accounting In Practice: An Analysis Of Real-World Business And Regulatory Case Studies, Claire E. Coursey
Accounting In Practice: An Analysis Of Real-World Business And Regulatory Case Studies, Claire E. Coursey
Honors Theses
This thesis consists of several accounting case studies completed throughout two semesters of Honors Accountancy 420 under the direction of Dr. Victoria Dickinson. The projects combined both individual and group work and focused on applying accounting knowledge to real-world business situations and current events. Each case study required research, analysis, and evaluation of topics related to financial reporting, auditing, regulation, and corporate operations. Throughout the fall semester, the case studies introduced a variety of accounting and business topics that helped develop research, analytical, and communication skills. During the spring semester, the primary focus shifted toward analyzing the potential impact of …
The Effects Of Bank Consolidation On Small Business Lending In Mississippi, Matthew R. Johnson
The Effects Of Bank Consolidation On Small Business Lending In Mississippi, Matthew R. Johnson
Honors Theses
This thesis examines the effects of bank consolidation on small business lending at the county level in Mississippi. Throughout the last few decades, there have been many mergers and acquisitions within the U.S. banking industry. These mergers and acquisitions have caused concerns over access to credit by small businesses, especially in rural and under-served markets. To analyze these issues, this study constructs a county-year panel database that combines bank merger data provided by the Federal Deposit Insurance Corporation (FDIC) with small business lending data from the Community Reinvestment Act (CRA) disclosures. Using a difference-in-differences framework, this paper analyzes how exposure …
Can You Buy Success In Major League Baseball?, Jacob Rumberger
Can You Buy Success In Major League Baseball?, Jacob Rumberger
Honors Projects
The vast disparity in Major League Baseball team payrolls over the last decade has become a prominent issue of concern for fans, owners, and league management. The belief is that the teams that invest exorbitant amounts of money into their players are paying to win. Teams, such as the Oakland Athletics, have popularized the method of “Moneyball” to find and exploit undervalued players in order to compete with large market teams. This research study aims to uncover whether this claim is based in fact or is unsubstantiated. Using statistical prediction methods like linear regression, logistic regression, and k nearest neighbor …
The War On American Consumers, William C. Morrill V
The War On American Consumers, William C. Morrill V
Honors Theses
In this work I seek to discuss the various avenues that consumers have been abused by both individual corporations and wider market trends. I also attempt to shed light on how recent consumer advocacy movements have been gaining momentum to combat these issues. The background information for this work has been collected through years of personal observation of the issues at hand. The areas of technology, automobiles, and agriculture that are featured prominently throughout the essay are all topics of either personal impact to myself and family or things that I have a hobby-like interest in. I have kept up …
Final Practicum Thesis And Portfolio From Accy 421: Professional Development Reviewing The Economic Effects Of Maha Initiatives On Conagra Brands Financial Statements And Studies On Business Professionals, Everett B. Heuer
Honors Theses
The purpose of this paper is to investigate the potential legislative changes brought about by Robert F Kennedy Jr. and the “Make America Healthy Again” campaign to uncover possible financial effects to Conagra Brands’ next fiscal year. This was achieved through research on RFK’s opinions on American food culture from sources such as interviews and Senate confirmation hearings. Findings included disapproval of seed oils and artificial food dyes that could affect Conagra Brands’ subsidiaries. After reviewing Conagra Brands’ 10k for the previous fiscal year as well as mission statements and core values, the team developed multiple plans for Conagra Brands …
Financial Literacy And Kentucky House Bill 342, Rebecca J. Futrell
Financial Literacy And Kentucky House Bill 342, Rebecca J. Futrell
Honors College Theses
This study examines the correlation between taking a financial literacy class in high school and an individual’s actual financial literacy. It is inspired by the recent Kentucky House Bill 342, which mandates that a financial literacy class be taken during high school. According to recent studies, Generation Z scores the lowest on a financial literacy index among the past three generations. To address this, many U.S. states have introduced mandatory financial literacy classes in K-12 education. In 2025, Kentucky joined the 30 states that mandated a financial literacy class for a high school diploma. The Kentucky House Bill 342 selects …
Payrolling In The Deep, Kyle Rosenfeld
Payrolling In The Deep, Kyle Rosenfeld
Business and Economics Honors Papers
This study examines how Major League Baseball teams can build their rosters to spend their payroll more efficiently. Using a manually constructed dataset, consisting of thirty teams over the past five years, this paper studies different payroll allocation strategies, such as the percentage of a team’s payroll to homegrown players or free agents, to improve the efficiency of how an MLB club is spending. Through running regression models, results have shown there is a statistically significant positive relationship between how efficient MLB teams spend their payrolls to the percentage of a team’s payroll designated to homegrown players. Additionally, there is …
Investigating The Impact Of Artificial Intelligence On Financial Decision-Making And Professional Practice, Elijah Jones
Investigating The Impact Of Artificial Intelligence On Financial Decision-Making And Professional Practice, Elijah Jones
Finance Undergraduate Honors Theses
The following study is an investigation into the impact of artificial intelligence (AI) as it relates to financial decision-making and professional processes. The focus of the study is to address the gap between theoretical applications analyzed by researchers and real-world use. The existing literature extensively analyzes the exponential growth of AI in finance over the years and its uses in relationship management, predictive analysis, trading, risk management, and more. While the studies show the potential transformative capability that AI has regarding workflows, there is limited data that shows how these newfound technologies are actually being adopted by professionals. To address …
Diving Into Commercial Banking: Internship Experience At Hilborn & Howell, Llc, Reid W. Finch
Diving Into Commercial Banking: Internship Experience At Hilborn & Howell, Llc, Reid W. Finch
Finance Undergraduate Honors Theses
This paper attempts to provide insight into the commercial banking industry through personal experience and the help of high-level lending professionals.
An Explanation Of Alternatives Within A Portfolio, Isaac J. Reitman
An Explanation Of Alternatives Within A Portfolio, Isaac J. Reitman
Finance Undergraduate Honors Theses
This thesis attempts to provide insight into the role of alternative investments within modern portfolio construction for accredited and institutional investors.
The asset classes discussed are as follows: private credit, private equity, venture capital, hedge funds, collectibles, and real estate.
Identifying And Evaluating Valuation Drivers In Upstream Oil And Gas M&A: A Comparative Analysis Of The Pedevco-Juniper Transaction, John D. Schick
Identifying And Evaluating Valuation Drivers In Upstream Oil And Gas M&A: A Comparative Analysis Of The Pedevco-Juniper Transaction, John D. Schick
Finance Undergraduate Honors Theses
This thesis examines the valuation drivers in small-cap upstream oil and gas M&A, using the November 2025 PEDEVCO–Juniper Capital transaction as an anchor case against comparable DJ Basin acquisitions from 2018 to 2026. Drawing on SEC filings and EIA pricing data, the analysis standardizes deals across $/flowing barrel, reserve mix, liquids exposure, and commodity environment. Regression testing shows that daily production scale is the dominant driver of total enterprise value, while oil weighting and PDP-heavy reserves command per-unit pricing premiums; short-term WTI and Henry Hub prices show little explanatory power. PEDEVCO–Juniper's moderate scale, 77% oil weighting, and PDP-heavy profile place …