Publications
In Sickness and in Debt: The COVID-19 Impact on Sovereign Credit Risk
(with Patrick Augustin, Marti G. Subrahmanyam and Davide Tomio) Journal of Financial Economics (2022)
Media
“Coronavirus is Making Clear There is No Solidarity in the EU” Fortune op ed (with Patrick Augustin, Marti G. Subrahmanyam and Davide Tomio).
“To Fight the Coronavirus State Budget Crisis, Act Like Alexander Hamilton” Fortune op ed (with Patrick Augustin, Marti G. Subrahmanyam and Davide Tomio).
“Il serait sage pour les gouvernements fortement endettés de réduire leurs dettes dès qu’ils le peuvent” Le Monde op ed (with Patrick Augustin, Marti G. Subrahmanyam and Davide Tomio).
“In sickness and in debt – sovereign credit risk in times of covid-19” Global Banking & Finance Review op ed (with Patrick Augustin, Marti G. Subrahmanyam and Davide Tomio).
Short Selling Equity Exchange Traded Funds and its Effect on Stock Market Liquidity
(with Egle Karmaziene) Journal of Financial and Quantitative Analysis (2022)
Media and industry coverage
“Beware of the Spider: Exchange Traded Funds and the Short-Sale Ban” Oxford Business Law Blog (OBLB), Jan 2021.
"The Short on Shorting ETFs: The Art of Create to Lend." Eurex Group Institutional Insight, May 2014.
How Sovereign is Sovereign Credit Risk? Global Prices, Local Quantities
(with Patrick Augustin, Marti G. Subrahmanyam and Davide Tomio) Journal of Monetary Economics (2022)
working papers
Looking Under the Hood of Commodity Currency Predictability (R & R, Management Science)
(with Alexandre Jeanneret))
This paper revisits the exchange rate predictability of commodity-exposed countries. We identify currencies with significant contemporaneous exposure to commodity prices, exploring both net commodity exporters and importers. For these currencies, a country's exchange rate fluctuations can be predicted by changes in its commodity export/import prices, both in-sample and out-of-sample. However, this predictability is short-lived, concentrated in periods of high uncertainty, and observed exclusively among less traded currencies. These findings align with a gradual information diffusion mechanism, suggesting a temporal market inefficiency rather than a risk-based explanation. Our work offers new insights into the source of carry trade predictability.
PRESENTED AT: 2021 Vienna Symposium on Foreign Exchange Markets, 2023 Frontiers in Finance Conference, 10th FIRN Annual Conference, 34th Australasian Finance and Banking Conference, HEC Montreal, MFA 2024.
Hedge Funds and Prime Broker Risk
(with Magnus Dahlquist Simon Rottke, and Erik Sverdrup)
We show that large adverse shocks to an individual prime broker only impact the performance of hedge funds using the affected broker exclusively, highlighting the diversifiability of idiosyncratic shocks. Conversely, we find systematic financial intermediary risk a significant determinant in the cross-section of hedge fund returns. Moreover, the average hedge fund's exposure to this risk exceeds the aggregate risk of its holdings. This incremental exposure is asymmetric, driven solely by negative intermediary shocks. In contrast, mutual funds and other risk factors show no similar effect. Our findings underscore the unique risks of hedge funds due to their prime brokerage dependencies.
Internet Appendix for Hedge Funds and Prime Broker Risk
PRESENTED AT: Annual Hedge Fund and Private Equity Research Conference, Australasian Finance and Banking Conference, EFA, HEC Montreal, London School of Economics, Luxembourg Asset Management Summit, Laval University, London School of Economics, MFA, SAFE Asset Pricing Workshop, Syracuse University, TBEAR Network Asset Pricing Workshop, University of Alberta, University of Connecticut, University of Geneva, Young Scholars Finance Consortium (scheduled).
Media
“Archegos is a mess—but it’s not going to tank the financial system“ Fortune op ed (with Magnus Dahlquist and Erik Sverdrup).
Constrained Currency Stochastic Discount Factors
(with Piotr Orlowski and Erik Sverdrup)
We develop a new methodology for estimating empirical stochastic discount factors (SDFs), which balances regularizing constraints on position leverage and guidance towards minimum-entropy SDFs. These empirical SDFs show superior out-of-sample pricing performance in the cross-section of currency strategies compared to existing factors. Moreover, they are priced in multiple cross-sections, such as hedge funds, that were not used in their construction. Empirical SDFs with the best pricing performance exhibit leverage limits consistent with institutional practices and correlate with economic fundamentals implied by equilibrium asset pricing models, such as consumption growth and uncertainty, intermediary capital, and government bond convenience yields.
PRESENTED AT: China International Conference in Finance, European Finance Association, Midwest Finance Association, North American Summer Meeting Econometric Society, Vienna Symposium on Foreign Exchange Markets; and Arizona State University, Bank of Canada, HEC Montreal, Temple University, University of Laval, and University of Houston.
Social Premiums
((with Hoa Briscoe-Tran, Reem Elabd, and Iwan Meier)
While there is extensive research on governance (G) and a growing focus on environmental (E) issues, the social dimension (S) of ESG investing is still underscrutinized. Using the MSCI social scores, we find that the two main components of a firm's social score, human capital and product safety, command statistically significant (yet opposing) return premiums in the cross-section of US stocks. Specifically, stocks with a high human capital score earn higher returns, and stocks with a high product safety score earn lower returns. Consequently, the aggregate social score commands no premium as the opposing effects of its components neutralize each other. Our findings challenge the common ESG investing approach of amalgamating factors without considering their distinct, potentially contradictory, risk and return implications.
Crowds, Crashes, and the Carry Trade
Currency carry trades exhibit sudden and extreme losses. A popular explanation is that these losses are to some extent driven by leveraged carry trade speculators amplifying negative shocks through forced unwinding of their positions. A testable implication is that the likelihood and intensity of large carry trade losses (crashes) increases with the level of carry trade activity (crowdedness). To test it, I develop a measure of crowdedness based on daily abnormal currency return correlation among the target currencies. This measure is related to other indicators of FX market activity. I show that between 40% and 50% of the largest carry trade losses occur in periods of high crowdedness. I further demonstrate that high levels of crowdedness double the probability of realizing an extreme carry trade loss after controlling for FX volatility, FX liquidity, equity volatility and funding liquidity. The level of crowdedness amplifies negative carry trade returns and has no effect on the positive ones. The results hold at multiple time horizons.
PRESENTED AT: Aalto University, Amsterdam Business School, BI Norwegian Business School, EFA 2018, FMA 2018, HEC Montréal, Lund University, NFA 2017, Norwegian School of Economics, Nova School of Business and Economics, Stockholm Business School, Stockholm School of Economics, Universidad Carlos III de Madrid, University of Georgia, University of Gothenburg, University of Münster University of Texas at Dallas, Vienna Symposium on Foreign Exchange Markets, Vrije Universiteit Amsterdam, Warwick Business School.