Person:

Sunderam, Aditya

We present a model that helps explain several past collapses of securitization markets. Originators issue too many informationally insensitive securities in good times, blunting investor incentives to become informed. The resulting endogenous scarcity of informed investors exacerbates primary market collapses in bad times. Inefficiency arises because informed investors are a public good from the perspective of originators. All originators benefit from the presence of additional informed investors in bad times, but each originator minimizes his reliance on costly informed capital in good times by issuing safe securities. Our model suggests regulations that limit the issuance of safe securities in good times.

We develop a novel methodology to infer the amount of capital allocated to quantitative equity arbitrage strategies. Using this methodology, which exploits time-variation in the cross section of short interest, we document that the amount of capital devoted to value and momentum strategies has grown significantly since the late 1980s. We provide evidence that this increase in capital has resulted in lower strategy returns. However, consistent with theories of limited arbitrage, we show that strategy-level capital flows are influenced by past strategy returns as well as strategy return volatility, and that arbitrage capital is most limited during times when strategies perform best. This suggests that the growth of arbitrage capital may not completely eliminate returns to these strategies.

Nonparametric estimators of treatment effects are often applied in settings where clustering may be important. We provide a general methodology for consistently estimating the variance of a large class of nonparametric estimators, including the simple matching estimator, in the presence of clustering. Software for implementing our variance estimator is available in Stata.

Many explanations for the rapid growth of the shadow banking system in the mid-2000s focus on money demand. This paper asks whether the short-term liabilities of the shadow banking system behave like money. We first present a simple model where households demand money services, which are supplied by three types of claims: deposits, Treasury bills, and asset-backed commercial paper (ABCP). The model provides predictions for the price and quantity dynamics of these claims, as well as the behavior of the banking system (in terms of issuance) and the monetary authority (in terms of open market operations). Consistent with the model, the empirical evidence suggests that the shadow banking system does respond to money demand. An extrapolation of our estimates would suggest that heightened money demand could explain up to approximately half the growth of ABCP in the mid-2000s.

We consider the problem of minimizing preference elicitation in efficient multiattribute auctions, that support dynamic negotiation over non-price based attributes such as quality, time-of-delivery, and processor speed. We introduce asynchronous price-based multiattribute auctions, with proxy bidding agents that sit between the auctioneer and the participants. Empirical results demonstrate the preference elicitation savings that are provided with minimal price spaces, asynchronous updates, and proxy agents.

We document a strong and robust relation between the one-year real rate and precautionary savings motives, as measured by the stock market. Our novel proxy for precautionary savings, based on the difference in valuations between low- and high-volatility stocks, explains 37% of variation in the real rate. In addition, the real rate forecasts returns on the low-minus-high volatility portfolio, though it appears unrelated with measures of the quantity of risk. Our results suggest that precautionary savings motives, and thus the real rate, are driven by time-varying attitudes towards risk. We rationalize these findings in a stylized model with segmented investor clienteles and habit formation.

We document the consequences of money market fund risk taking during the European sovereign debt crisis. Using a novel data set of security-level holdings of prime money market funds, we show that funds with large exposures to risky Eurozone banks suffered significant outflows between June and August 2011. Due to credit market frictions, these outflows have significant spillover effects on other firms: non-European issuers that typically rely on these funds raised less financing in this period. The results are not driven by issuers' riskiness or exposure to Europe: for the same issuer, money market funds with greater exposure to Eurozone banks decrease their holdings more than other funds. We show that relationships are important in short-term credit markets so that these spillover effects cannot be seamlessly offset, even though issuers are large, highly rated firms. Our results illustrate that instabilities associated with money market funds persist despite recent changes to the regulations governing them.

We develop a pair of models that speak to the goals and design of the sort of business-lending and corporate-bond purchase programs that have been introduced by governments in response to the ongoing COVID-19 pandemic. An overarching theme is that, in contrast to the classic lender-of-last-resort thinking that underpinned much of the response to the 2007–2009 global financial crisis, an effective policy response to the pandemic will require the government to accept the prospect of significant losses on credit extended to private sector firms.

We study the real effects of market segmentation due to credit ratings using a matched sample of firms just above and just below the investment-grade cutoff. These firms have similar observables, including average investment rates. However, flows into high-yield mutual funds have an economically significant effect on the issuance and investment of the speculative-grade firms relative to their matches, especially for firms likely to be financially constrained. The effect is associated with the discrete change in label from investment-grade to speculative-grade, not with changes in continuous measures of credit quality. We do not find similar effects at other rating boundaries.

We develop a model in which specialized bond investors must absorb shocks to the supply and demand for long-term bonds in two currencies. Since long-term bonds and foreign exchange are both exposed to unexpected movements in short-term interest rates, a shift in the supply of long-term bonds in one currency influences the foreign exchange rate between the two currencies, as well as bond term premia in both currencies. Our model matches several important empirical patterns, including the comovement between exchange rates and term premia, and the finding that central banks’ quantitative easing policies affect exchange rates. An extension of our model links spot exchange rates to the persistent deviations from covered interest rate parity that have emerged since 2008.