Performance evaluation of venture-capital (VC) payoffs is challenging because payoffs are infrequent, skewed, realized over endogenously varying time horizons, and cross- sectionally dependent. We show that standard stochastic discount factor (SDF) methods can be adapted to handle these issues....

We measure the repo funding extended by money market funds (MMF) and securities lenders to the shadow banking system, including quantities, haircuts, and repo rates by type of underlying collateral. We find that repo played only a small role in funding private sector assets prior to the crisis,...

Households participating in financial markets pay attention to inflation news when making their investment decisions, even in an environment of mostly low and stable inflation. ETFs and open-ended mutual funds holding Treasury Inflation-Protected Securities (TIPS) receive inflows from retail...

In competitive capital markets, risky debt claims that offer high yields in good times have high systematic risk exposure in bad times. We apply this idea to bank risk measurement. We find that banks with high accounting return on equity (ROE) prior to a crisis have higher systematic tail risk...

When expected returns are linear in asset characteristics, the stochastic discount factor (SDF) that prices individual stocks can be represented as a factor model with GLS cross-sectional regression slope factors. Factors constructed heuristically by aggregating individual stocks into...

We show that the stock market price reaction to monetary policy surprises upon announcements of the Federal Open Market Committee (FOMC) is explained mostly by changes in the default-free term structure of yields, not by changes in the equity premium. We reach this conclusion based on a new...

We investigate the economic consequences of statistical learning for arbitrage pricing in a high-dimensional setting. Arbitrageurs learn about alphas from historical data. When alphas are weak and rare, estimation errors hinder arbitrageurs--even those employing optimal machine learning...