We document capital misallocation in the U.S. investment-grade (IG) corporate bond market, driven by quantitative easing (QE). Prospective fallen angels - risky firms just above the IG rating cutoff-enjoyed subsidized bond financing since 2009, especially when the scale of QE purchases peaked...

We address the paradox that financial innovations aimed at risk-sharing appear to have made the world riskier. Financial innovations facilitate hedging idiosyncratic risks among agents; however, aggregate risks can be hedged only with liquid assets. When risk-sharing is primitive, agents...

We show that "zombie credit" - cheap credit to impaired firms - has a disinflationary effect. By helping distressed firms to stay afloat, such credit creates excess production capacity, thereby putting downward pressure on product prices. Granular European data on inflation, firms, and banks...

The paper analyzes the financial crisis of through the lens of market failures and regulatory failures. We present a case that there were four primary failures contributing to the crisis: excessive risk-taking in the financial sector due to mispriced government guarantees; regulatory focus on...

Banks face two different kinds of moral hazard problems: asset substitution by shareholders (e.g., making risky, negative net present value loans) and managerial rent seeking (e.g., investing in inefficient 'pet' projects and consuming perquisites that yield private benefits). The privately...

Financial crises are associated with reduced volumes and extreme levels of rates for term inter-bank loans, reflected in the one-month and three-month Libor. We explain such stress by modeling leveraged banks' precautionary demand for liquidity. Asset shocks impair a bank's ability to roll over...

We study empirically the effect of focus (specialization) vs. diversification on the return and the risk of banks using data from 105 Italian banks over the period 1993–1999. Specifically, we analyze the tradeoffs between (loan portfolio) focus and diversification using a unique data set that...