I am an Assistant Professor of Finance at Cornell University. Prior to joining Cornell, I graduated from Harvard with a PhD in economics and a bachelor's degree in applied math.


Email: johnnytang@cornell.edu


Conflicting Interests and the Effect of Fiduciary Duty — Evidence from Variable Annuities

(with Mark Egan and Shan Ge)

Review of Financial Studies (2022)

We show that sales of variable annuities are more responsive to the sales agents' financial interests than investors' and that a proposed US Department of Labor fiduciary rule drastically changed this market.

Cited by the US Senate, US Department of Labor, and the New York Times

Winner, TIAA Paul A. Samuelson Award


Extreme Events and Overreaction to News

(with Spencer Kwon

Revise and Resubmit, Review of Economic Studies

We propose a systematic predictor of under-and-overreaction to news in financial markets: the extremeness of the associated distribution of fundamentals. We show that stock prices have more overreaction and greater trading volume to more extreme types of news. We show that this is consistent with diagnostic expectations, a model of belief formation based on the representativeness heuristic.

Previously titled "Reactions to News and Reasoning By Exemplars"


Regulatory Competition in the US Life Insurance Industry

Competition between jurisdictions is a central feature of many public policy problems. I examine the consequences of such competition in the US life insurance industry, where states vie to attract insurers by setting lower capital requirements, but the costs of such actions are borne by consumers in other states. I document empirical evidence of competition between state regulators and its effects on the supply of life insurance. I then develop a quantitative model of the insurance market to evaluate the effects of this competition. I find that competition leads regulators to set lower capital requirements, which increases default risks but also increases consumer surplus by lowering prices. On net, these effects decrease regulators' utility based on regulators' revealed-preference objective functions.

Winner, Bank of Canada Graduate Student Paper Award

Winner, Western Finance Association The Brattle Group Ph.D. Candidate Award For Outstanding Research


Investor Composition and Overreaction

(with Michael Blank and Spencer Kwon)

How do we predict which asset-price booms go bust? We develop a model of financial markets with investor heterogeneity that yields a summary statistic for the degree to which an asset price overreacts to news: the gap in holdings of the asset by oversensitive investors versus rational investors. We use quarterly institutional holdings data to measure investors’ news sensitivity according to their tendency to purchase stocks after positive news, and compute from this measure the asset-level holdings gaps between oversensitive and rational investors. We find that investor news sensitivity is persistent over time, with the holdings gap measure able to forecast reversals or continuation of asset-price run-ups. Furthermore, the holdings gap measure serves as a powerful aggregator of different channels of overreaction, reflecting not only price extrapolation but also overreaction to various sources of non-price information, such as industry winners and fundamental growth.


The Effects of a Global Minimum Tax on Corporate Balance Sheets and Real Activities: Evidence from the Insurance Industry

I show that the base erosion and anti-abuse tax (BEAT), a global minimum tax passed as part of the 2017 Tax Cuts and Jobs Act,  significantly changed the internal capital allocation of multinational insurance companies, increased global risk-sharing, and increased product prices. 

Presented at: NBER Economic Impacts of Interjurisdictional Tax Competition, University of Waterloo Tax Policy Symposium, Harvard Law School


Partisanship and Macroeconomic Expectations

(with Suproteem Sarkar)

We introduce new measures of economic partisanship based on language similarity to Republican- and Democrat-aligned economic reporting on cable news programs. Applying our methods to corporate executives’ earnings call speeches, we measure economic partisanship for executives across more than 5,000 major firms. We find meaningful partisan differences in corporate executives’ economic language beyond what can be explained by variation across industries, locations, and firm characteristics. More partisan executives pay excess attention to politically-favorable topics and become more exuberant after their aligned party wins the presidency. These differences in turn predict decision-making: after the 2016 election, firms with executives who used more Republican-leaning language invested more and made more positively-biased earnings forecasts than their Democrat-leaning counterparts, but did not earn higher revenues.

Presented at: AEA 2022

Individual Heterogeneity and Cultural Attitudes in Credence Goods Provision

European Economic Review, July 2020

(Undergraduate honors thesis)

I show that seller over-treatment in a credence goods market is highly predictable using rich microdata.

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