Econometrics Commons^™

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 …

Algorithmic Trading In Idiosyncratic-Payoff Markets: A Multi-Agent System For On-Chain Prediction Contracts, Saif Aldeen A.K. Agha

CMC Senior Theses

This thesis documents the design, deployment, and forward-test evaluation of an evolutionary multi-agent algorithmic trading system on Polymarket, the largest decentralized prediction market. The system pairs a locally-hosted 72-billion-parameter language model with a gradient-boosted statistical filter and an evolutionary selection mechanism that maintains a population of approximately 500 autonomous trading agents. Each agent generates a probability estimate for an event, compares it to the prevailing market price, and trades the resulting disagreement.

The central empirical exercise estimates a panel regression of trade-level profit on the absolute disagreement between the agent's probability estimate and the market price, controlling for agent identity, …

Volatility Modeling With An Application To Risk Parity Portfolios, Kenneth Hou

CMC Senior Theses

This thesis studies volatility modeling in the context of risk parity portfolio construction. I compare three risk parity portfolios that differ only in their underlying volatility model: a historical covariance baseline, a Bayesian stochastic volatility model, and a GRU–GARCH hybrid neural network. Using daily returns on Kenneth French’s five industry portfolios from January 2016 through December 2025, I construct monthly rebalanced portfolios under each model, with the SV and GRU forecasts embedded in hybrid covariance matrices that combine forecasted volatilities with rolling historical correlations. The results document a divergence between forecast accuracy and portfolio performance: the SV model is the …

The Zoom Town Effect Of Remote Work On Rural Housing Markets, Luc R. Fabing

CMC Senior Theses

I study the impact of remote work on rural housing markets, highlighting the moderating role of outdoor recreation amenities. Using panel data from the American Community Survey and Zillow (2010–2024), I employ a Two-Way Fixed Effects model and a shift-share instrumental variable strategy to estimate the effect of work-from-home (WFH) rates on home prices. I find that higher WFH rates are strongly associated with higher home prices in high-recreation counties, but that the association is weak or negative in counties lacking significant recreation amenities. These findings point to amenity migration as a key mechanism through which remote work impacts rural …

From Collective Punishment To Collective Action, Samuel N. Johnson-Saeger

CMC Senior Theses

Regime change may be sought in two primary ways, absent a turn to internal or external violence: through nonviolent resistance, from within, and sanctions, from abroad. This paper is about how those two pathways are intertwined. I challenge two different strands of the existing literature. First, I show that Liou et al. (2022)'s finding that sanctions increase the predicted probability of nonviolent resistance movement progress is subject to substantial upward bias from country heterogeneity. Incorporating country fixed effects, I show that sanctions, on average, have no statistically significant effect on resistance outcomes. Second, I challenge Chenoweth and Stephan (2008)'s argument …

Trading Volume And Forecast Accuracy In Kalshi Prediction Markets, Nicholas Smole

CMC Senior Theses

This thesis examines the accuracy of Kalshi prediction markets and how different measures of trading volume shape their calibration and predictive power. Expanding upon previous models, use nonparametric calibration curves, pseudo-likelihood regressions, and Brier-score regressions on a large panel of Kalshi contracts to compare the effects of ex-post total volume and cumulative trading volume on market accuracy. Markets are typically well-calibrated near expiration; however, at longer horizons, low-volume markets exhibit substantially more miscalibration. Holding time to expiration fixed, greater cumulative volume is associated with higher accuracy. In comparison, higher ex-post total volume is associated with lower accuracy, highlighting the importance …

From Financial Education To Financial Decisions: Evidence On College Financing, Personal Finance Behavior, And Student Attitudes, Dongwei Shi

University of Kentucky Doctoral Dissertations

I examine how financial education shapes students’ financial knowledge, college financing decisions, and longer-term financial behavior.

The first chapter studies whether taking high school financial education in Kentucky affects students’ college financing decisions using linked administrative records on high school course-taking and postsecondary financial aid. Using school-level financial education course availability as an instrument, the chapter evaluates whether exposure to financial education is associated with differences in student loan borrowing and receipt of need-based aid.

The second chapter examines whether exposure to state high school financial education mandates improves financial literacy and longer-term personal finance behavior among U.S. adults. Using …

Three Essays On Urban Transportation, Daniel Amorim Souza Centuriao

Graduate Theses, Dissertations, and Problem Reports (ETD)

Urban environments are shaped by dynamic interactions between infrastructure development, policy interventions, and episodic demand shocks, all of which can generate unintended externalities in the form of motor vehicle collisions, injuries, and fatalities. This dissertation investigates the determinants of traffic safety in dense urban settings, with a particular focus on how different sources of urban activity affect collision risk and severity. Using New York City as a case study and leveraging high-resolution spatial and temporal data, I examine three distinct but interconnected mechanisms: construction activity, traffic safety policies, and large-scale events.

The first chapter analyzes the impact of urban development, …

Three Essays In Cpi Bias And Health Economics, Auderta Amoako-Nuamah

Graduate Theses, Dissertations, and Problem Reports (ETD)

The first essay estimates bias in the Consumer Price Index (CPI) for elderly individuals in the United States using Engel curve methodology and household-level data from the Panel Study of Income Dynamics (1999–2023). The analysis focuses on how well the CPI reflects changes in the cost of living for older Americans, with particular attention to differences by gender and marital status. Results show that from 1999–2011, the CPI overstated the increase in the cost of living for both elderly and non-elderly households. In contrast, from 1999–2023, the CPI understated cost increases, with the bias generally larger for non-elderly households. Within …

Testing Mean Stability Of Heteroskedastic Time Series, Violetta Dalla, Liudas Giraitis, Peter C. B. Phillips

Research Collection School Of Economics

Time series models are often fitted to the data without preliminary checks for stability of the mean and variance, conditions that may not hold in much economic and financial data, particularly over long periods. Ignoring such shifts may result in fitting models with spurious dynamics that lead to unsupported and controversial conclusions about time dependence, causality, and the effects of unanticipated shocks. In spite of what may seem as obvious differences between a time series of independent variates with changing variance and a stationary conditionally heteroskedastic (GARCH) process, such processes may be hard to distinguish in applied work using basic …

Uncovering Mild Drift In Asset Prices With Intraday High-Frequency Data, Shuping Shi, Peter C. B. Phillips

Research Collection School Of Economics

Asset prices are commonly represented as a drift-diffusion process, wherein the drift component denotes the anticipated return of the asset within some time frame, while the diffusion component accommodates random shocks. The drift component has substantial practical significance but accurate estimation is typically challenging and has met with limited success in the existing literature except over large time spans. This paper explores a comprehensive range of drift-diffusion models that include constant, linear, trending, and bursting drift. Conditions are identified under which realized squared drift  is a reliable tool for gauging integrated squared drift when the time span Tn is large …

Multivariate Quantile Autoregression-Mixed Data Sampling (Mvqar-Midas) Modeling Of Cost Of Living And Supply Chain Dynamics In Canada., Patrick Gbolonyo

Theses and Dissertations (Comprehensive)

In recent years, the rising cost of living as a result of persistent inflationary pressures, disruptions in the global supply chains, and changes in the macroeconomic landscape has become a critical topic of discussion. To address this, we move beyond a mean-based framework and employ a quantile regression approach. This allows the persistence of each series and the transmis- sion of shocks between the Consumer Price Index (CPI) (the total CPI which is a percentage change over the past 12 months), the Interest Rate (IR)(the target for the overnight rate), the New Housing Price Index (NHPI), and high-frequency supply chain …

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 …

Essays On Indian Inflation Targeting, Dipankar Biswas

Electronic Theses & Dissertations (2024 - present)

This dissertation explores the efficacy and impact of inflation targeting as the monetary policy framework with a specific focus on India after its formal adoption of the inflation-targeting framework in 2016.

The first chapter focuses on the history of monetary policy framework in India. It discusses, in detail, the different monetary policy frameworks, namely Credit Planning, Flexible Monetary-Targeting, and Multiple-Indicator approaches, adopted by the Reserve Bank of India (RBI) (i.e., the monetary authority of the country), before arriving at the adoption of the inflation-targeting framework. The monetary policy transmission process in India during the different global turmoil segments of the …

The Problem With The Mode Of External Debt Servicing: The Case Of Nigeria, Shehu Tijjani Muhammed

Bullion

This study empirically tested the hypothesis that external debt servicing leads to debt accumulation using Nigeria as case study. The method employed combines logic and debt stock variation analysis. Results indicate that Nigeria has served interest on its external debt only to see its external debt stock increasing confirming the hypothesis. A reform is needed to enable the country retain the domestic income lost to international speculative capital to boost government revenue. A sovereign agency to intermediate between the indebted residents, exporters, and the banking system can be created to solve the problem.

The Conditional Nature Of The Value Premium: Interaction And Cross-Sectional Evidence Across Market Regimes, Samuel L. Klein

Honors Thesis

This thesis examines why value-based investment strategies generate strong returns in some environments yet weaken or collapse in others. Regressions test whether the performance of the book-to-market ratio depends on the investor’s perception of financial health as defined by F-Score and accruals. Across additive regressions, interaction models, cross-sectionals, and heatmap visualizations, a consistent mechanism emerges. The book-to-market effect is strongest when financial information is neither highly reliable nor severely distressed. In these “moderate-quality” environments, investors struggle to fully distinguish the transitory components of earnings from their persistent counterparts. This makes valuation ratios particularly influential. Accrual intensity and financial strength jointly …

Effects Of External Debt On Inflation In The West African Monetary Zone (Wamz), Collins Anosike

Journal of Global Awareness

This research examined the effect of external public debt on inflation in the West African Monetary Zone (WAMZ) using annual data from 1960 to 2022. The study selected the six member countries of WAMZ, namely: Gambia, Guinea, Nigeria, Sierra Leone, Liberia, and Ghana, to examine their economic well-being, growth performance, external debt, and inflation over a 63-year period. This study is unique because it examines three periods, namely: pre-WAMZ (1960 to 2000); during WAMZ (2001 to 2022); and the entire period (1960 to 2022), extends previous studies by using updated data, and then shows the long-run positive effect of external …

Housing Burden And Insurance Expenditures, Melanie M. Lytell

Honors Capstones

Housing costs shape the way families spend on protection and security. This study looks at how the share of income devoted to housing, the housing burden, influences household spending on four types of insurance: vehicle, life, personal, and health. Using data from nearly 92,000 households and regression models that account for state differences, I find that even small increases in housing burden shift insurance choices in meaningful ways. A one‑percentage‑point rise in housing burden is linked to a 2.1% increase in vehicle insurance spending and a 0.5% increase in life insurance, but a 0.7% decrease in personal insurance and a …

Contests With Ambiguous Prizes, Cary Deck, Aidan Hathaway, Emma Kate Henry, Tigran Melkonyan, Samuel Redinger

ESI Working Papers

This paper examines behavior in contests where the prize value is ambiguous. We develop a theoretical model of bidding in a Tullock contest with an ambiguous prize where contestants account for the ambiguity attitude of their rival. Ambiguity affects optimal behavior via two countervailing channels - a direct effect arising from contestants’ ambiguity about the value of the prize and an indirect effect corresponding to the effect of ambiguity on the opponent’s behavior. Using a controlled laboratory experiment, we elicit individual risk and ambiguity attitudes and compare predicted and observed behavior in contests with an ambiguous prize, a risky prize …

An Empirical Investigation Of The Effects Of Gunshot Detection Technology In Detroit, Joe Davis

All Graduate Reports and Creative Projects, Fall 2023 to Present

This paper evaluates the impact of acoustic gunshot detection technology (GDT) on crime and policing outcomes in Detroit, Michigan. Leveraging the implementation of ShotSpotter across high-crime neighborhoods, I analyze outcomes including crime rates, emergency calls, police response times, and case clearance. My findings indicate that ShotSpotter installation is associated with a 6% reduction in violent crime but a modest increase in nonviolent crime. The technology also produces a large increase in the reporting of gunfire incidents—over 300% more gunshot-related calls for service—yet police respond 7% slower to ShotSpotter alerts than to citizen-reported gunshots. Consistent with prior research, I find no …