Published and Accepted Papers
Accepted, Management Science
(Circulated under NBER Working Paper No. 26113)
We document the role that inside investment plays in managerial compensation and hedge fund performance. Merging against a comprehensive dataset of US hedge funds, we find that funds with greater inside investment outperform on a factor-adjusted basis. We emphasize the role of capacity constraints in explaining this result: insider funds are smaller, are less likely to accept inflows in response to positive returns, and are more likely to be closed to outside investors. These results suggest that managers earn outsize rents by operating trading strategies further from their capacity constraints when managing their own money.
Revise & Resubmit, Review of Financial Studies
This study empirically evaluates the relationship between health state-contingent assets and their ability to facilitate greater survival rates. Using transaction-level data from the life settlement market in a quasi-experimental setting, this study finds that wealth in particularly poor states of health leads to a significant increase in survival rates. This relationship is stronger for people in fragile health and those living furthest from hospitals. Improved survival rates are independent from the severity of the disease diagnoses and the social-economic status of the policyholders. These findings provide novel evidence in support of financial solutions aimed at the rising cost of healthcare.
Revise & Resubmit, Review of Financial Studies
- Recipient of the Moskowitz Price, Best Paper on Socially Responsible Investing
- Research Proposal Accepted by the Pacific Center for Asset Management (PCAM)
- Best Paper in Corporate Finance and Financial Institutions at the FMA European Conference, 2021
- European Investment Forum, Research Award for Best Paper, 2021
We study the real effects of environmental activist investing. Using plant-level data in a quasi-experimental setting, we find that firms targeted by environmental activist investors reduce their toxic releases, greenhouse-gas emissions, and cancer-causing pollution through preventative efforts. Improvements in air quality within a one-mile of targeted plants suggest potentially important externalities to local economies. We provide evidence supporting the external validity of environmental activism while also ruling out reporting biases, forms of selection, and other alternative hypotheses. Overall, our study suggests that engagements are an effective tool for long-term shareholders to address climate change risks.
Revise & Resubmit, Journal of Accounting Research
We study the anatomy and evolution of ESG reports, examining how firms and standards influence the decision to make voluntary disclosures on ESG issues. Using a hand-collected sample of all ESG reports for S&P 500 firms from 2010-2020, we analyze their content, document how these disclosures have changed over time, and identify factors that influence the disclosure choice (e.g., leading firms and voluntary standards). Using topic modeling algorithms guided by the Sustainable Accounting Standards Board’s ESG standards, we provide evidence for the influence of other firms and the influence of these standards in the dynamic shaping of voluntary ESG reports.
This paper studies whether ESG funds trade off the long-term sustainability of portfolio firms for greater short-term financial performance. ESG funds reveal their preference for superior returns by voting against E&S proposals when it is uncertain whether these proposals will pass. We find that consistent with their financial incentives, active ESG funds and non-ESG-focused institutions are more likely to oppose E&S proposals. However, investors do not appear to respond to such differential voting patterns by withdrawing capital. Overall, our results highlight that investors’ conflicting objectives of advancing sustainability while achieving superior returns can impede improvements in corporate sustainability.
This paper examines whether targeted credit rationing by banks can disrupt the operations of firms likely to generate negative externalities. We exploit a major regulatory initiative in the United States—Operation Choke Point—which targeted bank relationships with firms in industries with a high risk for fraud and money laundering. Using supervisory loan-level data, we find that targeted banks reduce lending and terminate relationships with affected firms. However, these firms fully compensate by substituting lending from non-targeted banks at similar terms, resulting in no changes in total debt, investment, or profitability. Our results suggest that targeted credit rationing fails to promote change.
This paper measures the cost of biased retirement expectations for investors in target-date funds. Using a nationally representative survey that follows households for nearly three decades, we document those survey respondents systematically underestimate their long-run labor participation on average by 4.8 years, with these errors having meaningful cross-sectional relationships with the respondent’s health, earnings, and wealth. We use these insights to build a life-cycle model of target-date funds to measure the costs of biased expectations. Model calibrations suggest that errors in expectations compound over time, costing the median respondent 4% of wealth at retirement, equivalent to 0.2% a year in losses.
Implementing a state-of-the-art machine learning technique for causal inference using text analysis, we document that women are under-recognized for the quality of the patents they are granted. For the equivalent patent written by a female, a male would have received 12% more citations and 16% more patents in the top decile. Both female inventors and examiners tend to cite patents with female lead inventors more. Underrecognition of female-authored patents likely has economic implications for the allocation of talent in the economy. We conclude by outlining future applications of this new causal inference technique to finance and economics.
The conventional view is that capital requirements, those intended to reduce bank risks, can have a negative impact on bank lending. This paper reconsiders this view by studying the interaction between capital requirements and corporate governance. Our model highlights how capital requirements can have directionally different effects on lending, depending on the extent that management is protected against shareholder actions. Taking our model to the data, we find divergent lending practices for banks with stronger protections compared to their weaker counterparts. These results highlight the need for regulators to consider the impact of corporate governance when implementing bank capital requirements.
Evaluating Green Industrial Policies in India
We use detailed firm-product level data to estimate the effects on large manufacturing firms of an environmental regulation targeting industrial clusters in India. We find that the regulation reduced pollution but decreased product variety, increased markups, and distorted the firm-size distribution by discouraging entry into efficient clusters. The reform lowered firm quantity productivity by approximately 4%, while firms maintained profitability by raising prices – product markups for firms in the highest-emitting clusters increased by around 20%. Our results quantify the unintended costs of mandated pollution reduction and threshold-based regulatory intensity, such as increased concentration and the loss of agglomeration externalities.
The Impossibility of Communication Between Investors
All investors face the same decision problem: either invest for themselves or delegate their portfolio problem to an outside investor. Typically, asset managers can communicate their superior knowledge to attract capital. However, such communication comes with the risk of revealing the particulars of their valuable information without a commitment from potential investors. I explore this fundamental investment-delegate problem through developing an entropy-based model of communication, where investors endogenously determine to be a principal or an agent in a highly generalizable setting.