Fact or Fluff: Does Wording Used by Gene Editing Companies Affect Investor Behaviors?
by Thomas Freireich
Abstract
The writing style a startup uses to portray itself has an impact on investors’ perceptions of them, subsequently affecting their venture capital decisions. This funding is particularly important given the prominence of venture capital as a primary financial source for growing early-stage biotechnology companies. Currently, due to recent scientific advances, many of these startup companies are utilizing novel gene editing based approaches to cure a variety of previously untreated diseases. For the sake of those affected, it is essential that this sector of the biotechnology industry is managed properly early on so that developed treatments can eventually reach FDA approval. This paper is in part inspired by recent happenings revolving around the fraudulent biotech startup, Theranos. Elizabeth Holmes, Theranos’ founder, was renowned for making comments lauding the company’s product. It seemed to many that investors were lulled by the idea of what Holmes made Theranos to be, invested in the company based on false verbal promises instead of the reality of the scientific product. Occurrences like the demise of Theranos are detrimental to both investors and competing companies in need of venture funds in order to develop their treatments. Thus, this paper explores the impact of word-usage and writing style on venture capital investment in various gene editing based startups,hoping to elucidate whether investors are being swayed by word choice.
Professor Michelle Connolly, Faculty Advisor
JEL Codes: M1, M13, O3, O32
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.
Professor Michelle Connolly, Faculty Advisor
Professor Connel Fullenkamp, Faculty Advisor
JEL Codes: M30, M31, M37
The Effect of Sustainability Reporting on ESG Ratings
by Arthur Luetkemeyer
Abstract
Over the past decade the concept of Environmental, Social, and Governance (ESG) investing has
emerged to aid investors to maximize return on investments while simultaneously supporting
environmentally and socially friendly methods of production and operation. In this paper I
investigate the effect of the quality of sustainability reporting on ESG ratings. I utilize a sample
of 100 chemical companies with ESG ratings and sustainability disclosure indexes over a 14-
year time period (2007-2020) to analyze the short- and long run effects of sustainability reporting
on ESG ratings. Using OLS my regression results suggest that better overall ESG disclosure as
well as individual E, S, and G disclosure leads to worse ESG ratings in both the short run and the
long run.
Professor Christopher Timmins, Faculty Advisor
Professor Grace Kim, Faculty Advisor
JEL Codes: M14, M40
Bang for Your (Green) Buck: The Effects of ESG Risk on US M&A Performance
by Richard Chen
Abstract
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.
Professor Connel Fullenkamp, Faculty Advisor
Professor Grace Kim, Faculty Advisor
JEL Codes: G34, G14, M14
User Loyalty and Willingness to Pay for a Music Streaming Subscription
By Nell Jones
Music streaming has increased industry revenue and displaced piracy, but limited profits for artists. In this thesis, I examine user loyalty to streaming platforms, focusing on the asset specificity of features and estimating what users are willing to pay for each of these features. A structural equation model of survey data shows that feature satisfaction positively affects both asset specificity of and overall satisfaction with streaming platforms, strengthening user loyalty. Using conjoint analysis, I estimate that users are willing to pay at least $14.40 for platforms that offer algorithm, playlist and social features, and the ability to download music.
Advisors: Professor Michael Munger, Professor Grace Kim | JEL Codes: Z1, Z11, M21
For Love of the Game: A Study of Tournament Theory and Intrinsic Motivation in Dota 2
By YAO Shengjie
This paper studies the effect of intrinsic motivation on the extrinsic incentives specified by tournament structure in tournament theory in the context of e-sports. It incorporates tournament theory and motivation crowding theory in the same framework, something that past literature have hinted towards but never formally done so. It also uses an e-sports dataset, a type of dataset that few academics in the past have dealt with, but one that offers many interesting potentials. Results weakly show that crowding-in occurs in e-sports, but the effects of tournament structure on performance are inconclusive in the context of this paper. Implications of this paper lie mainly in the possibility for future academics to utilise e-sports data for research.
Advisors: Professor Grace Kim | JEL Codes: J31, J33, J41, M51, M52, Z20
Incentives to Quit in Men’s Professional Tennis: An Empirical Test of Tournament Theory
By Will Walker
This paper studies the influence of incentives on quitting behaviors in professional men’s tennis tournaments and offers broader implications to pay structures in the labor market. Precedent literature established that prize incentives and skill heterogeneity can impact player effort exertion. Prize incentives include prize money and indirect financial rewards (ranking points). Players may also exert less effort when there is a significant difference in skill between the match favorite and the match underdog. Results warrant three important conclusions. First, prize incentives (particularly prize money) do influence a player’s likelihood of quitting. Results on skill heterogeneity are less conclusive, though being the “match favorite” could reduce the odds of quitting. Finally, match underdogs and “unseeded” players may be especially susceptible to the influence of prize incentives when considering whether to quit.
Advisors: Peter Arcidiacono and Grace Kim | JEL Codes: J41, J31, J32, J33, M12, M51, M52
Gender Equality as a Result of Offering Employee Benefit Policies
By Meghan Mcaneny
In this study, I investigate the relationship between the percentage of women in leadership in a company and its employee benefits. This paper uses data on individual firms’ benefits such as paid parental leave, familial support, and flexibility arrangements. Using OLS, I conclude that benefits that shift familial burdens from women to men, specifically paid paternity leave, result in more women in leadership. This creates an even playing field for women to be promoted as the company environment does not penalize women for using benefits. I also find a negative relationship between reimbursement for fertility procedures and women in leadership.
Advisor: Alison Hagy, Marjorie McElroy | JEL Codes: J22, J32, M51, M52 | Tagged: Employee Benefits, Women in Business Leadership, Work-Life Balance
Multiples Valuation and Abnormal Returns
By Joon Sang Yoon
I investigate whether three commonly used valuation multiples—the Price-to-Earnings Ratio, the EV-to-EBITDA multiple, and the EV-to-Sales multiple—can be used to identify mispriced securities. I find that multiples are successful in identifying mispricing in both the equal and value weighted portfolios relative to the One-Factor CAPM. I further find, after controlling for size and value effects, that the bulk of the abnormal returns are concentrated in smaller firms. Moreover, the Sales multiple seems to outperform the other two multiples in the equal weighted design. In the value weighted design, however, the P/E ratio outperforms the others.
Advisor: Per Olsson, Michelle Connolly | JEL Codes: G12, G14, M4 | Tagged: Equity Valuation, Long-run Abnormal Returns, Market Efficiency, Multiples Valuation
Implications of Teacher Tenure on Teacher Quality and Student Performance in North Carolina
By Dana Fenster
This paper examines the relationship between teacher tenure and teacher quality in North Carolina, measured via student performance on the state End of Grade (EOG) standardized tests. After presenting a comprehensive synopsis of the current teacher tenure policy, I use data from the North Carolina Education Research Data Center (NCERDC) to compare demonstrated teacher effectiveness across the tenure bubble, defined as one to eight years of teaching experience within the same district. Ultimately, I find that there is significant jump in average teacher quality at the tenure cutoff, suggesting that tenure policy is effective in retaining high quality teachers while removing those who are ineffective.
Advisor: Hugh MaCartney | JEL Codes: I21, J24, J41, M5 | Tagged: Economics of Education, Labor Economics, Teacher Tenure
