Yang Bai portrait

I am an Assistant Professor of Finance at California State University, Fullerton. My research interests include investments, household finance, corporate finance, and regulatory enforcement. My work has been recognized with the Best Paper Award at the Boca Corporate Finance and Governance Conference and the Crowell Prize from PanAgora Asset Management.

I am a Certified Financial Risk Manager (FRM) and was previously a financial data scientist in industry. I received my Ph.D. in Finance from the University of Missouri, an M.S. in Statistics from the University of Georgia, and a B.S. in Mathematics also from the University of Georgia.

I teach Introduction to Investments this semester.

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Research

Presentations:
  • 2025: FMA×2 (Scheduled), Modern Risk Society (MRS) International Risk Conference, MFA, California State University, Fullerton
  • 2024: Boca Finance and Real Estate Conference, Chapman University, Telfer Conference on Corporate Finance and Banking
  • 2023: Boca Corporate Finance and Governance Conference×2, Montclair State University, California State University, Fullerton, Conference on Empirical Legal Studies, FMA×3, University of Missouri
  • 2022: Boca Corporate Finance and Governance Conference, University of Alabama, University of Missouri×2
  • 2021: SFA, World Finance Conference, Crowell Prize Competition, AFA, University of Miami Winter Conference on Machine Learning and Business
  • 2020: University of Missouri
marks a presentation by a coauthor.
Working Papers:
  • Homeownership as Life Cycle Goodmine: Evidence from Macrohistory, with Shize Li and Jialu Shen
    Should a household buy a home? Using data from 16 developed countries spanning 1870 to 2020, this study provides a resounding affirmative answer. Contrary to popular expert advice, homeownership enhances life cycle wealth by up to 9% and welfare by up to 23%, compared to all-equity investment strategy. Homeownership reduces wealth portfolio risk and improves wealth equality, though it comes at the cost of lower working-life wealth and curtailed financial asset holdings. Gains are heterogeneous: Low-income (high-income) households gain more in wealth (welfare), and home purchase during periods of moderately low interest rates and high housing prices maximizes these benefits.
  • The Role of Growth Strategies in Acquisitions, with Fred Bereskin, Micah Officer, and Jing Wang
    Using labor skill demand disclosed in job postings as a proxy for firms' growth strategies, we find that similar growth strategies increase the likelihood of two firms merging. In particular, a firm is more likely to become a target as its labor skill demand becomes more similar to that of its potential acquirer. Similar growth strategies ameliorate post-merger integration challenges in facilitating merger deals. Following the merger, the combined firm continues hiring the same skills, consistent with the growth strategy persisting. These types of mergers experience more synergies and superior operating performance.
  • Machine Learning Classification and Portfolio Allocation: with Implications from Machine Uncertainty, with Kuntara Pukthuanthon
    Crowell Prize (Third Prize: $2000), PanAgora Asset Management, 2021
    We use multi-class machine learning classifiers to identify the stocks that outperform or underperform other stocks. The resulting long-short portfolios achieve annual Sharpe ratios of 1.67 (value-weighted) and 3.35 (equal-weighted), with annual alphas ranging from 29% to 48%. These results persist after controlling for machine learning regressions and remain robust among large-cap stocks. Machine uncertainty, as measured by predicted probabilities, impairs the prediction performance. Stocks with higher machine uncertainty experience lower returns, particularly when human proxies of information uncertainty align with machine uncertainty. Consistent with the literature, such an effect is driven by the past underperformers.
  • Does the SEC's Enforcement Vary Depending on Boards' Gender Composition, with Fred Bereskin, Xiaohu Guo, and Miriam Schwartz-Ziv
    Best Paper Award ($300), Boca Corporate Finance and Governance Conference, 2022
    The SEC has limited resources that it can dedicate to investigating firms. Which type of firm is the SEC more likely to suspect of potential wrongdoing? We show that firms receiving a “red flag” for misconduct (e.g. comment letters, restatements, whistleblower reports) are less likely to experience an SEC investigation if they have a large fraction of women directors. These firms are also less likely to experience enforcement by the SEC. We address endogeneity by showing that these results are particularly pronounced when the US government changes to a Democratic administration (which we show is more focused on board gender diversity) from a Republican administration. Results are particularly large among smaller firms for which public information is more limited, and thus, the potential for bias is larger. Our findings imply that regulators' decisions on whether to open an investigation, and the outcomes of these investigations, are influenced by regulators' biases and beliefs on how each gender (of directors) carries out its role.
  • Patrolling the Securities Laws: Towards the SEC's Investigation of Founder-CEO Firms, with Inder K. Khurana and Ruixiang Wang
    Best Paper Award Semifinalist, FMA Annual Meeting, 2023
    Using hand-collected data on founder CEOs and SEC investigations obtained via the Freedom of Information Act, we find that founder-CEO firms are 29% more likely to face SEC investigations, yet these investigations rarely lead to accounting and auditing release enforcement actions. CEO attributes—power, risk-taking, and visibility—drive this heightened scrutiny, reflecting the SEC's use of academically motivated variables and fraud-deterrent strategies. These findings align with the SEC's focus on CEO accountability and highlight the role of CEO characteristics in shaping regulatory oversight.
  • Are Short Sellers the Vanguards of SEC Investigations?, with Xiaohu Guo, Inder K. Khurana, and Ruixiang Wang
    This paper investigates whether and how short sellers influence the U.S. Securities and Exchange Commission's (SEC) decision to initiate investigations. We find that higher short interest is significantly associated with an increased likelihood of SEC investigations, suggesting that the SEC relies on short sellers as information intermediaries in its enforcement process. Further analyses reveal that this relation is more pronounced when the SEC's fraud detection capacity is constrained or when firm-level information uncertainty is high. The SEC's reliance on short sellers extends to the issuance of comment letters, highlighting the short seller's broader influence on regulatory oversight. Our results are robust to instrumental variable estimation (Kaporff and Lou, 2010) and Oster's (2019) test for omitted variable bias. Taken together, our results underscore the critical role that informed market participants, particularly short sellers, can play in shaping regulatory attention.
Work in Progress:
  • 150 Years of Return Predictability Around the World: A Holistic View Across Assets
    Campbell and Shiller (1988b, a) show that
    Therefore, if payout growth is not predictable, the payout-price ratio decides returns and the returns must be predictable. Using 150-year data from 16 developed countries across bond, equity, and housing markets, I study this implication using the payout-price ratios, i.e., coupon price, dividend price, and rent price. None of the 48 country-asset combinations shows consistent in-sample and out-of-sample performance with positive utility gain for the mean-variance investor. However, 14 (5) countries have predictable payout growth in the equity (housing) markets. Cochrane (2008, 2011, 2020) argues that the dividend predictability and the return predictability form a joint hypothesis, and the denial of time series predictability does not hold if we reject the hypothesis that the dividend growth is predictable. Contrary to Cochrane's finding, the VAR simulation using data from all the countries in the past 150 years does not reject the null that the dividend growth is predictable and thus the joint hypothesis test provides weak support to return predictability.
Dormant Work:
  • Firm Social Network and SEC Enforcement, with Fred Bereskin and Adam Yore
    We construct firm-level social network using partnership relations. Systematically important firms, i.e., firms that are highly connected and of greater centrality, face more SEC scrutiny across different enforcement actions, including AAER actions and SEC investigations. Our findings remain robust when applying stacked difference-in-differences (DiD) analyses that leverage exogenous firm-level reductions in network sizes within the corresponding Louvain communities, driven by mergers and acquisitions. They also hold under stacked DiD specifications using the introduction of combined tax reporting as an exogenous shock to the number of firm partnerships (Bodnaruk, 2013).

Teaching

Current Teaching
California State University, Fullerton
Past Teaching
California State University, Fullerton
  • FIN 320 Financial Management
University of Missouri
  • FINANC 2000 Survey of Business Finance
  • FINANC 4310 Financial Modeling
  • FINANC 4510 Real Estate Appraisal
Outstanding Graduate Teaching, University of Missouri, 2021