I am an Assistant Professor of Finance at the University of Notre Dame's Mendoza School of Business. Prior to this, I spent two years at Harvard Business School as a Post-Doc Fellow with the Behavioral Finance and Financial Stability Initiative. I completed my PhD in Finance at the London School of Economics.
I have a great life in South Bend Indiana with my wife Dr. Anita Li and our cat Lami.
Last Update: May 2022
With Richard B Evans and Sun Yang
Presentations: University of Notre Dame Brown Bag (2022), Brandeis Brown Bag (2022)
We examine the selection of fund self-declared benchmarks. While the incidence of style mismatched benchmarks is high at the beginning of our sample (41% of fund assets/34% of funds), it declines significantly over time. This decline is driven primarily by existing funds changing their self-declared benchmarks to correctly match their style. In examining why funds ‘correct’ their benchmarks over time, we find that investor learning, institutional investor governance, product market competition and fund company risk management all play a role. Lastly, we find that funds overseen by entrenched managers are more likely to use a mismatched benchmark.
Last Update: February 2022
With Lauren Cohen and Weiling Liu
Presentations: University of Notre Dame Brown Bag (2020), Virtual Municipal Finance Workshop (2020), Brookings Municipal Finance Conference (2021)
Almost 95% of long-term municipal bonds have callable features, and despite low interest rates, we find that a substantial fraction of local governments exercise these options with significant delays. Using data from 2001 to 2018, we estimate that US municipals lost over $31 billion from delayed refinancing, whereas US corporates lost only a comparative $1.4 billion. We present evidence that these delays are related to gaps in localized debt monitoring of issuers by their underwriters.
Last Update: February 2021
Presentations: University of Notre Dame Brown Bag (2020), Virtual Finance Seminar (University of Illinois at Chicago/ Michigan State University 2021), Virtual Finance Seminar (University of Bristol/ University of Exeter/ University of Lancaster/ University of Manchester 2021), Financial Markets and Corporate Governance Conference (2021)
I provide evidence that investor size matters in the market for short-term securities. Between January 2011 and November 2020, the largest asset management families obtained significantly higher promised returns from their money market securities than smaller families. Furthermore, I show that the enactment of Money Market Mutual Fund reforms on October 2016 decreased measures of competition in several categories of Money Market Mutual Funds. Consistent with improving market power, the largest fund families raised their lending rates (by 8 basis points) on their existing borrowers. These results highlight the trade-off in enacting macro-prudential policies and encouraging capital market efficiency.
Latest Update: May 2022, Revise and Resubmit at JFQA
Presentations: Ohio State University 2017, American University 2018, University of Delaware 2018, Northeastern University 2018, University of Notre Dame 2018, AQR Capital 2018, FMA Asia 2018, Southern Finance Association Conference 2018, American Finance Association 2019, Midwestern Finance Association Meeting 2019
I show that cash distributions through cash-mergers, dividend payments, and stock buybacks are in principal similar to investor fund flows in generating demands for investable assets. Abnormal returns in certain assets can be forecasted because delegated investors predictably reinvest cash-returns toward certain holdings. Novel measures of stock level demand constructed using proportional reinvestments by mutual funds predict abnormal returns and issuances in non-cash paying stocks. These results highlight an alternative and substantial source of price fluctuations in the cross-section of equities.
Many asset managers limit the weights of their asset positions in order to ensure diversiﬁcation of active bets. Consequently, an individual manager will react to positive returns in his biggest positions by rebalancing into other assets. I document the pervasiveness of this practice in individual funds, and how trading to rebalance high exposure positions collectively leads to price pressure. A value-weighted strategy exploiting this predictability earns 2.83% (2.60% 4-factors adjusted) per quarter on the largest assets in the cross section of equities; contrasting priors that the demand channel for assets only circumstantially aﬀect stock prices. These results are consistent with trading pressure originating from risk management by individual asset managers.
May 13, 2020
Presentations: AFA 2018, The 6th Luxembourg Asset Management Summit
With Lauren Cohen, Dong Lou, Chris Malloy, and Umit Gurun.
Published in the Journal of Financial Economics.
Winner of Panagora A. Crowell Prize, and the IQ-KAP 2nd Best Place Prize
Using a novel database that tracks web traffic on the SEC’s EDGAR servers between 2003 and 2016, we show that mutual funds exert effort to reduce the dimensionality of their portfolio selection problem. Specifically, we show that mutual fund managers’ gather information on a very particular subset of firms and insiders, and their surveillance stays largely unchanged over time. This tracking has powerful implications for their portfolio choice, and its information content. An institution that downloaded an insider-trading filling by a given firm last quarter increases its likelihood of downloading an insider-trading filing on the same firm by more than 41.3 % this quarter, which is 8 times larger than the unconditional probability of an institution downloading at least one insider trading filing in a quarter from any firm in her existing portfolio (4.8%). Moreover, the average tracked stock that an institution sells generates 7.5% annualized DGTW- adjusted alpha, whereas the sale of an average non-tracked stock has close to zero DGTW adjusted alpha. The outperformance of tracked trades continues for a number of quarters following the tracked insider/institution sale and does not reverse within the sample period. Collectively, these results suggest that the information in tracked trades is important for fundamental firm value, and is only revealed following the information-rich dual trading by insiders and linked institutions.
April 17, 2016
With Lauren Cohen and Dong Lou.
Published in the Review of Financial Studies.
We explore a new mechanism by which investors take correlated shortcuts, and present evidence that managers undertake actions – in the form of sales management – to take advantage of these shortcuts. Specifically, we exploit a regulatory provision wherein a firm’s primary industry is determined by the highest sales segment. Exploiting this regulation, we provide evidence that investors classify operationally nearly identical firms vastly differently depending on their placement around this sales cut-off. Moreover, managers appear to exploit this by manipulating sales to be just over the cutoff in favorable industries. Further evidence suggests that managers then engage in activities to realize large, tangible benefits from this opportunistic action.
Latest Update: August 11, 2020
With Lauren Cohen, and Umit Gurun.
Forthcoming at the Journal of Finance.
Presentations: University of Notre Dame Brown Bag (2019), RAPS/RCFS Winter Conference (2020), Consortium on Asset Management in Cambridge (2020), London School of Economics Lunch Time Workshop (2020), 2nd Future of Financial Information Conference at Stockholm Business School (2020), European Finance Association (2020), Northern Finance Association Meeting (2020), FMA (2020), Fixed Income and Financial Institution Conference (2020), NBER Asset Pricing (Scheduled 2020), Southern Finance Association Meeting (Scheduled 2020), AFA (Scheduled 2021)
Winner of 2020 Consortium on Asset Management Best Paper Prize, FMA 2020 Best Paper in Investments
We provide evidence that bond fund managers misclassify their holdings, and that these misclassifications have a real and significant impact on investor capital flows. In particular, many funds report more investment grade assets than are actually held in their portfolios to important information intermediaries, making these funds appear significantly less risky. This results in pervasive misclassification across the universe of US fixed income mutual funds. The problem is widespread - resulting in up to 31.4% of funds being misclassified with safer profiles, when compared against their true, publicly reported holdings. “Misclassified funds” – i.e., those that hold risky bonds, but claim to hold safer bonds – appear to on-average outperform the low-risk funds in their peer groups. Within category groups, “Misclassified funds” moreover receive higher Morningstar Ratings (significantly more Morningstar Stars) and higher investor flows due to this perceived on-average outperformance. However, when we correctly classify them based on their actual risk, these funds are mediocre performers. These Misclassified funds also significantly underperform precisely when junk-bonds crash in returns. Misreporting is stronger following several quarters of large negative returns.