Finance and Financial Management Commons^™

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.

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

Research Collection Lee Kong Chian School Of Business

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

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.

Contemporary Issues In Economics And Finance: The View From China, Kenneth S. Bigel

Open Touro Created

2026

This collection of essays showcases original research crafted by exceptional young scholars—primarily high school students from China and North America—guided step-by-step from topic selection to final publication. Across diverse subjects in business and the social sciences, these emerging researchers demonstrate curiosity, discipline, and global awareness. Their work provides a rare window into the questions today’s youth are asking on both sides of the Pacific, offering fresh perspectives and a meaningful bridge between two world powers. Designed not only to inspire but also to instruct, this compendium fills a long-recognized gap in early research education: it presents accessible, real student …

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 …

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

Graduate Studies Theses and Dissertations 2026

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

Two Essays On Out-Of-Town Home Buyers, Kamrul H. Talukdar

Graduate Studies Theses and Dissertations 2026

This dissertation analyzes the price premia paid by Out-of-Town (or non-local) home buyers. The first essay investigates the role of social connectedness in the price premia paid by non-local buyers in the residential housing market. Using over 74,000 residential transactions from Orange and Seminole counties, Florida between 2016 and 2019 and exploiting the Social Connectedness Index (SCI) constructed based on Facebook friendship links, I show that non-local buyers who come from regions which are more socially connected to the purchase location pay about 1.8% to 2.1% lower premia compared to those coming from less connected regions. This effect is attributed …

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

Research Collection Lee Kong Chian School Of Business

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

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

Research Collection Lee Kong Chian School Of Business

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

[Abstract For] Bond Pricing Mechanics Beyond Yield-To-Maturity Based Calculations, Maura Alexander, Tom Arnold, Xiu (Summer) Liu

Finance Faculty Publications

Three methods for pricing bonds are presented: using a constant yield to maturity, using the yield curve with discount factors, and using implied forward rates from the yield curve with backward induction.  By moving beyond the first method, more dynamic duration and convexity analyses emerge.  Further, logical connections and extensions are made in regard to pricing bonds with embedded options, the calculation of a swap rate, and the “bond bootstrapping” process for building a yield curve.

Evaluating The Use Of Machine Learning For Road Maintenance Cost Estimation, Shahla Shirinzad, David Enke

Engineering Management and Systems Engineering Faculty Research & Creative Works

Accurate estimation of highway maintenance costs is essential for efficient resource allocation and long-term infrastructure sustainability. This study evaluates the effectiveness of advanced machine learning models, including ResNet, Transformer, and other neural network architectures, for forecasting maintenance costs using historical data from the Highway Maintenance Improvement Program (HMIP) provided by the North Carolina Department of Transportation (NC DOT). A comprehensive comparative analysis is conducted across multiple models using standard performance metrics, including R², MAE, RMSE, and MSE. The results demonstrate that advanced architectures, particularly ResNet and Transformer, consistently outperform traditional statistical approaches and baseline machine learning models, achieving …

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

Graduate Studies Theses and Dissertations 2026

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

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

Stock Market Reactions To Interest Rate Changes: Evidence From Emerging Markets, Binali Selman Eren

The Indonesian Capital Market Review

This study investigates the impact of interest rate decisions made by national central banks, including the Federal Reserve (Fed), and the European Central Bank (ECB), on the stock markets of emerging economies. It analyzed stock market reactions to interest rate hikes and cuts through the use of an event study approach. The findings provided evidence of heterogeneous effects of interest rate decisions by national central banks, the Fed, and the ECB on stock markets in emerging economies. Specifically, the results indicated that, in most emerging economies, stock markets reacted negatively to interest rate hikes and positively to cuts by national …

The Impact Of Shariah Law, Liquidity And Interest Rate On Sukuk Growth In Malaysia In Short And Long Run: The Ardl Estimation, Dheya Hamood Saif Al-Fakih, Shahsuzan Zakaria, Md Khairu Amin Ismail

The Indonesian Capital Market Review

The issuance of sukuk has been steadily increasing over time, underscoring its growing significance and the need for further scholarly examination. As a global leader in the Islamic finance industry and a prominent issuer of sukuk, Malaysia serves as a critical case study for understanding this phenomenon. It is essential to investigate various factors and their impact on the growth of sukuk. The study analyzes the relationship between sukuk growth and factors such as interest rate, liquidity (M1), and Shariah law using monthly data from April 2011 to December 2020 obtained from Thomson Reuters Eikon. The study employs the ARDL …

Awareness And Decision-Making In Cryptocurrency Investment Among Students In Guwahati: A Comprehensive Study, Rituparna Roy Dr, Anupam Chanda Dr, Bidangsha Basumatary

The Indonesian Capital Market Review

This study investigates the awareness and decision-making processes related to cryptocurrency investment among students in Guwahati, Assam. Cryptocurrency, a form of digital money designed for online transactions without government or bank oversight, has initiated significant shifts in the global financial sector. The decentralization of cryptocurrencies offers transparency, security, and efficiency, challenging traditional financial systems. Despite the growing global interest in cryptocurrencies, their adoption faces barriers such as limited technological expertise, regulatory uncertainty, and security concerns. These issues are particularly pronounced among students, a demographic increasingly interested in digital currencies but often lacking foundational financial knowledge. The research aims to fill …

Identifying Risk-Free Asset Proxies In Companies Listed On The Indonesia Stock Exchange From 2017 To 2023 Using The Zero-Beta Capital Asset Pricing Model, Fajri Alan Ghazali Mr., Lenny Suardi Mrs.

The Indonesian Capital Market Review

This study evaluates Bank Indonesia Certificates (SBI), IndONIA, and gold as zero-beta proxies for Indonesian equities. Using daily returns for 213 firms listed on the Indonesia Stock Exchange (2017–2023) and the Jakarta Composite Index as the market return, we estimate firm-level zero-beta CAPMs and compute Wald statistics test to identify the appropriate risk- free asset proxy for each individual company; and firm-level outcomes are then aggregated under a Bernoulli/Binomial criterion with a 95% threshold. Empirical results show that gold satisfies the zero-beta condition for 207 of 213 firms (97.18%), whereas SBI and IndONIA satisfy it for five (2.35%) and six …

Escaping The Crash? The Protective Power Of Liquidity In The Pakistan Stock Market, Sana Saleem, Muhammad Usman, Amna Rafique

The Indonesian Capital Market Review

This study investigates the effect of stock liquidity on the risk of stock price crashes, taking sample of non-financial firms listed on the Pakistan Stock Exchange, from 2009 to 2024. A two-step system GMM estimation is applied to test the hypotheses. The results reveal that greater stock liquidity significantly reduces crash risk, whereas illiquidity amplifies it. Two underlying channels explain this relationship; first, liquidity strengthens block holders’ capacity to intervene, discouraging managerial tendencies to withhold adverse information, second, liquidity enhances price informativeness, limiting managerial discretion to manipulate prices through delayed disclosure of bad news. The findings imply that liquid stocks …

Green Credit, Climate Risk, And Credit Risk In The Indonesian Banking Industry, Titi Dewi Warninda, Shelby Devianty Widodo

The Indonesian Capital Market Review

As the largest archipelagic country, Indonesia's industries and regions are particularly vulnerable to the impacts of climate change. This research examines the effects of green credit policy and climate risk, specifically sea level rise and precipitation, on bank credit risk. Using data from 2019 to 2023 and system GMM, the research results show that the higher the sea level rise and precipitation, the higher the credit risk. The findings of this research also indicate that a higher proportion of green credit lowers bank credit risk, and bank inefficiency strengthens the impact of green credit on credit risk. The results of …

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, …

Can Extended Asset Pricing Factors Predict Economic Growth?, Muhammad Zaid Imran

MS Finance Research Projects/Theses

This study examines whether the RMW and CMA factors of the Fama-French five-factor model predict future GDP growth beyond the information contained in the MKT, SMB, HML and WML factors and in standard macroeconomic indicators. It extends earlier framework to the United States, Italy, Canada and United Kingdom using samples that begin between 1991 and end in 2025. The six factors are constructed from firm-level data, and future GDP growth is regressed on past factor returns at quarterly frequency with Newey–West standard errors. The original study is also replicated on its 1978-1996 United States sample. CMA does not predict growth …

Three Essays On Corporate Bond Short Selling, Climate And Credit Risks, Manisha Thapa

Theses and Dissertations (Comprehensive)

This dissertation comprises three essays investigating topics on Corporate Bond Short Selling, Climate and Credit Risks.

The first essay addresses the question: Does climate risk influence bond short selling? We address this question by studying how climate risk influences the relationship between corporate bond short selling and subsequent credit default swap (CDS) spreads. We find that future CDS spreads are strongly related to bond short selling for the high climate risk firms. In particular, our fixed effects triple difference-in-differences (DiD) regressions show that sensitivity of subsequent CDS spreads to lagged bond short selling is significantly higher for firms with high …

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.

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 …

Crisis, Credit Risk, And Productivity: Lessons From The Vietnamese Banking Sector During Covid-19, Van Nguyen, Phuong Thanh Le, Reza Kiani Mavi, Amir Arjomandi

Research outputs 2022 to 2026

This study investigates how an unprecedented systemic shock, the COVID-19 pandemic, reshaped bank productivity and intermediation efficiency in Vietnam, one of the fastest-growing emerging economies. We develop a novel risk-adjusted total factor productivity (TFP) measure based on the by-production Luenberger–Hicks–Moorsteen (LHM) indicator, which incorporates non-performing loans as undesirable outputs to better capture credit-risk dynamics. Using a balanced panel covering both the pre-pandemic and pandemic periods (2016–2022), our results show that Vietnamese banks experienced a general decline in productivity before and during COVID-19, driven largely by reductions in technical and scale efficiency. However, foreign and state-owned banks recorded stronger technological progress …

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 …

Essays On Stock Market Expectations And Financial Decisions, Shanxiang Yang

Graduate Theses, Dissertations, and Problem Reports (ETD)

This dissertation consists of three essays on stock market expectations and financial decisions. The first essay shows significant racial differences in expectations regarding future stock market performance. Using data from the Federal Reserve Bank of New York’s Survey of Consumer Expectations from 2013 to 2022, we find that, relative to White Americans, Black and Hispanic Americans have lower probabilistic expectations that the stock market will increase. This racial gap in expectations was even larger during the recession caused by the Covid-19 epidemic, suggesting that economic uncertainty exacerbates this heterogeneity in expectations. Furthermore, we show that relative to White Americans, the …

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. …

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 …

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, …

Decision Framework For Enhancing The Adoption Of Alternative Infrastructure Funding Models In Ghana, Samuel Kojo Aidoo, Patricia Lindelwa Makoni

CSID Journal of Infrastructure Development

This paper examines the socio-economic and infrastructure conditions that determine Ghana’s readiness to adopt alternative infrastructure funding models (AIFMs) for sustainable road development. The objective of the study is to identify the macroeconomic and sectoral drivers of AIFMs’ adoption and to develop policy frameworks for the sustainable financing of infrastructure within Ghana’s context. Ordinary Least Squares (OLS) regression analysis is applied to annual data from 2003 to 2023 to examine the relationship between macroeconomic and infrastructure indicators and economic growth , which is used as a proxy for the viability of AIFMs. The results show that employment growth, educational attainment, …