Determinants of Sustained Success in NFT Markets
by Emily Xu
Abstract
Non-Fungible Tokens (NFTs) took headlines by storm in 2021 and have since established their own marketplace. As public interest in the space wanes in 2022-2023, I characterize this emerging space and investigate factors that distinguish top-performing NFT projects within their respective market segments while controlling for external market and cryptocurrency exposures. Literature in this emerging space remains sparse and I contribute in the following ways: 1) My cross-sectional time series panel synthesizes the most recent data from February 2022 to March 2023, utilizing information from five platforms (NonFungible.com, Twitter, OpenSea, ArtIndex, YahooFinance). To the best of my knowledge, this is the first holistic dataset that combines time-varying secondary sales data, Twitter, and market data. 2) My analysis categorizes data points by both NFT market segments and secondary sales performance, allowing for finer comparison between top and low performers within their respective categories. I find that a change in Twitter followers and tweets over time is a statistically significant and positive predictor of secondary sales, indicating that top-performing NFT projects must consistently add value and market to investors in order to generate sustained secondary sales. Additionally, top-performers saturate the space at incredibly high speeds and grand scales. For instance, the median top-performing collectible project has a collection of 10,000 items, attracted at least 60,000 Twitter followers, and achieved over $42 million in total sales, all within 1-2 years of the “NFT hype.” This concludes that royalties generated from NFTs are not passive, requiring creators to be reactive and consistent in their efforts.
Michelle Connolly, Faculty and Seminar Advisor
Professor Connel Fullenkamp, Faculty Advisor
The True Cost: An Aggregate Analysis of the Advanced Clean Cars II Policy
by Lauren Mackenzie Sizemore
Abstract
Global climate change, emphasis on the global, requires local solutions. Every entity plays a role, some more than others. Yet, when improvements in pollution or emissions in one region leads to more problems in another, how is the net cost or benefit to be deciphered for the environment, for the economy, and for humanity in general? Advanced Clean Cars II (ACC II), a proposed policy in California, United States, is a practical test of this question. For each model year beginning in 2026, the potential law gives a percentage of new vehicle sales that must be zero-emission vehicles (ZEVs) – cars that do not emit exhaust gas or other pollutants from the onboard source of power – or plug-in-hybrid electric vehicles (PHEVs). By 2035, ACC II would require all new vehicles purchased in California to be either a ZEV or a PHEV. With reduced tailpipe emissions, California expects to benefit from reduced smog, less carbon emissions, better air quality, a reduction in air-related health issues such as asthma, and increased sales from California-based electric vehicle companies such as Tesla and Rivian. Since air is a common resource, improving California’s quality also betters air globally. Yet emissions and pollution produced during the mining, production, and scrappage phases work in opposition to the decreased tailpipe emissions. By converting each type of pollutant into a per vehicle dollar cost, I paint a better picture of the global cost-benefit. The per vehicle cost is scaled based on the expected number of electric and conventional vehicles in California which is predicted under two scenarios: ACC II passes with full enforcement and the law is not passed. I forecast the number of electric vehicles likely bought in both instances using the Bass Model for New Product Growth of Consumer Durables (Bass 1969). I determine that a maximum of eighteen states, including California, could successfully implement ACC II and lower emissions given their 2021 electricity grid’s carbon intensity.
Connel Fullenkamp, Faculty Advisor
Michelle Connolly, Faculty Advisor
After The Mega-Buyout Era: Do Public-to-Private Transactions Still Outperform?
By Bryn Wilson
Abstract
This thesis contributes to existing knowledge of the private equity asset class by examining whether public-to-private leveraged buyouts outperform public peers before and after the mega-buyout era (2005 – 2007). This paper considers the impact of four groups of value drivers on both market- and peer-adjusted returns. These value drivers include operational improvements, leverage, multiple expansion and market timing, and management and corporate decision making. I analyze how these factors change over time, aiming to determine whether public-to-private target firms improve profitability, return on assets, and investment more than peers. I also examine how employment changes at target firms relative to peers. Multivariable regression analysis is used to quantify the impact of operating performance changes, leverage, multiple expansion, credit market conditions, GDP growth, and management and corporate decisions on market- and peer-adjusted returns. The paper constructs a sample of 227 public-to-private transactions from 1996 – 2013 and analyzes 74 transactions with post-buyout financial information available. Results suggest that private equity ownership post-buyout does not lead to significant operational improvements relative to peers, but that improving profitability and ROA are crucial to outperforming the market and peers.
Dr. Connel Fullenkamp, Faculty Advisor
JEL classification: G3; G34; G32; G11
Bang for Your (Green) Buck: The Effects of ESG Risk on US M&A Performance
by Richard Chen
Mergers & Acquisitions (M&A) is a fundamental corporate activity that has not received much attention from an environmental, social, and governance (ESG) perspective. In this paper, I analyze how buyer and target ESG risks affect US M&A performance in both the short and long run as measured by deal valuations and changes in buyer operating metrics, respectively. I utilize a sample of 341 transactions from 2007-2020 with a cumulative value over $3 trillion from Capital IQ where both the buyer and target have available ESG data provided by RepRisk. Utilizing OLS, my results suggest that higher ESG risk causes buyers to pay more and targets to receive less. In the long run, buyer ESG risk is an important determinant of performance. When examining the components of ESG, governance is the most consistently significant, followed by social, then environmental – though it becomes more significant in the long run. Additionally, all three components appear to have some non-linear impacts on M&A performance.
Advisors: Professor Connel Fullenkamp, Professor Grace Kim | JEL Codes: G34, G14, M14
Taxing Marijuana and the Road to Reparations: Comparing the Colorado and Illinois Cannabis Markets
By Tommaso Carlo Filippo Babucci
Although still prohibited at the federal level, cannabis can now be found on the shelves of recreational dispensaries across thirty-three U.S states. This thesis examines the development of this legal market from both historical and empirical perspectives. Using a new data set, it estimates the determinants of cannabis sales and tax revenues in the Colorado market and analyzes the incidence of a single tax increase. The results, which suggest that legal cannabis behaves like a luxury good, are used to analyze the potential for cannabis-funded reparations programs in Illinois, which recently approved recreational sales of cannabis.
Advisors: Professor Connel Fullenkamp | JEL Codes: H2, R50, L15
Comparing the Performance of Active and Passive Mutual Funds in Developing and Developed Countries
By Nalini Gupta
This paper seeks to test the hypothesis that developing countries or informationally inefficient countries should see higher returns for active mutual funds on average than passive funds and the trend should be reversed in developed nations or informationally efficient economies. This analysis is done using a cross section of eight countries, four developed and four developing. Using a fund universe of 20 active and 20 passive funds per country and controls such as volatility, market return, financial market development and Human Development Index among others, we see that there is no clear systematically dominant strategy between active and passive investment universally. While developing countries are associated with lower returns, we do not find a significant difference between active and passive based on development classification. A key finding is that an increase in liquidity, acting as proxy for informational efficiency, leads to a co-movement of active and passive returns in each country. The paper also lends itself to further analysis regarding confounding factor such as noise trading and movement of foreign capital which impact the effect of increased liquidity on mutual fund returns.
Advisors: Professor Connel Fullenkamp, Professor Kent Kimbrough | JEL Codes: G1, G11, G14
Where Did the Money Go? Impact of the ECB’s Corporate Sector Purchase Program on Eurozone Corporate Spending
By Tina Tian
Slow corporate growth and a lack of corporate investment has plagued European markets for the past decade. As a response, the ECB began the Corporate Sector Purchase Program (CSPP) in 2016 to provide liquidity to corporate debt markets through bond purchases. Four years after the start of the program, this paper assesses its impact by looking at how companies spent this money on a micro level. In particular, it looks at the impact of long-term debt on five expenditures (fixed assets and R&D, cash balances, short-term debt, cash to shareholders, and share buybacks). We test these hypothesized expenditures based on financial statement panel data from a selection of European firms whose bonds were purchased by the ECB. The results show an increase in financial expenditures including cash balances and short-term debt and a decrease in productive investment expenditures such as fixed assets and R&D. This indicates a lack of efficacy of the corporate bond purchase program as excess liquidity provided by the ECB went towards eurozone companies refinancing existing debt rather than investing in growth ventures.
Advisors: Professor Connel Fullenkamp, Professor Kent Kimbrough | JEL Codes: G3, O16, E58
Wrangling the Herd: A Cross-Cultural and Cross-Industry Approach to Herding Market Behavior
By Tyler Fenton and Jarred Kotzin
The traditional efficient market hypothesis serves as the foundation of modern economic theory, governing the investigation of financial markets. While this premise assumes all investors are rational and all information is immediately incorporated into markets, this paper explores herding behavior – a central tenet of behavioral finance that explains the apparent inefficiencies of financial markets. Utilizing return data from the past 10 years from eight exchanges around the world, segmented into 10 industry classes as well as a broad market index, we compare levels of herd behavior using return dispersion proxies. We find significant evidence of herding in nearly all exchanges and all industries included in the study and the degree of this herd behavior varies across industries in different countries. Overall, we find support for the behavioral finance principle of herding and conclude that certain cultural or non cultural factors affect this activity differently in various countries and industries.
Advisors: Professor Connel Fullenkamp | JEL Codes: G4, G14, G15
Determinants of Franchise Value in the National Basketball Association
By Matthew Van Liedekerke
Franchise values in the National Basketball Association (NBA) have more than tripled over the last five years, with the average franchise worth $1.36 billion. Using panel data on NBA franchises between 2009 and 2016, this paper finds that market, performance, star players, and brand are significant determinants of franchise value at the team level and the NBA’s television contract is the primary driver of league-wide franchise value appreciation. The valuation methodologies used in this paper predict that a franchise in Seattle would be worth $1.4 billion in 2017, which could inform the NBA’s decision on expansion.
Advisor: Connel Fullenkamp | JEL Codes: Z2, Z23, G32
An Economic Approach to Evaluating the Impact of AML/CFT Regulations
By Caitlin Mcgough
This paper addresses the unintended consequences of AML/CFT regulations, seeking to provide an economic analysis of the drivers of de–risking and the broader consequences for the goal of financial integrity. Looking at qualitative data, this paper (1) concludes the problem of de–risking warrants a reconsideration of the enforcement approach and (2) recommends reorienting the banks’ payoff matrix by reducing the cost of compliance and regulatory risk associated with providing financial services to high–risk, low–profit customers. This paper culminates with the recommendation to consider tolerating “honest mistakes” on the part of financial institutions in order to achieve the goals of integrity and inclusion in the international financial system.
Advisor: Connel Fullenkamp | Tagged: De-Risking, Financial Inclusion, Money Laundering, Terrorism Financing
