Fixed-rate mortgages (FRMs) dominate the U.S. mortgage market, with important consequences for monetary policy, household risk management, and financial stability. We show that the FRM market share is sharply lower when mortgages are difficult to securitize, exploiting plausibly exogenous variation in access to liquid securitization markets generated by a regulatory cutoff and time variation in private securitization activity. We interpret our findings as evidence that lenders are reluctant to retain the prepayment and interest rate risk embedded in FRMs. The form of securitization (private versus government backed) has little effect on FRM supply during periods in which private securitization markets are well functioning.

Weather is a key source of income risk, especially in emerging market economies. This paper uses a randomized controlled trial involving Indian farmers to study how an innovative rainfall insurance product affects production decisions. We find that insurance provision induces farmers to invest more in higher-return but rainfall-sensitive cash crops, particularly among educated farmers. This shift in behavior occurs ex ante, when realized monsoon rainfall is still uncertain. Our results suggest that financial innovation can mitigate the real effects of uninsured production risk.

Fixed-rate mortgages (FRMs) dominate the U.S. mortgage market, with important consequences for monetary policy, household risk management, and financial stability. We show that the FRM market share is sharply lower when mortgages are difficult to securitize, exploiting plausibly exogenous variation in access to liquid securitization markets generated by a regulatory cutoff and time variation in private securitization activity. We interpret our findings as evidence that lenders are reluctant to retain the prepayment and interest rate risk embedded in FRMs. The form of securitization (private versus government backed) has little effect on FRM supply during periods in which private securitization markets are well functioning.

Weather is a key source of income risk for many firms and households, particularly in emerging market economies. This paper studies how an innovative risk management instrument for hedging rainfall risk affects production decisions among a sample of Indian agricultural firms, using a randomized controlled trial approach. We find that the provision of insurance induces farmers to shift production towards higher-return but higher-risk cash crops, particularly amongst more-educated farmers. Our results support the view that financial innovation may help mitigate the real effects of uninsured production risk. In a second experiment we elicit willingness to pay for insurance policies that differ in their contract terms, using the Becker-DeGroot-Marshak mechanism. Willingness-to-pay is increasing in the actuarial value of the insurance, but substantially less than one-for-one, suggesting that farmers’ valuations are inconsistent with a fully rational benchmark.

Technology-based (“FinTech”) lenders increased their market share of U.S. mortgage lending from 2% to 8% from 2010 to 2016. Using loan-level data on mortgage applications and originations, we show that FinTech lenders process mortgage applications 20% faster than other lenders, controlling for observable characteristics. Faster processing does not come at the cost of higher defaults. FinTech lenders adjust supply more elastically than do other lenders in response to exogenous mortgage demand shocks. In areas with more FinTech lending, borrowers refinance more, especially when it is in their interest. We find no evidence that FinTech lenders target borrowers with low access to finance.Received June 1, 2017; editorial decision November 5, 2018 by Editor Wei Jiang.

We study how intermediaries – mortgage servicers – shaped the implementation of mortgage forbearance during the COVID-19 pandemic and use servicer-level variation to trace out the causal effects of forbearance on borrowers. Forbearance provision varied widely across servicers. Small servicers, nonbanks, and especially nonbanks with small liquidity buffers, facilitated fewer forbearances and saw a higher incidence of forbearance-related complaints. Easier access to forbearance substantially increased mortgage nonpayment but also reduced delinquencies outside of forbearance. Part of the liquidity from forbearance was used to reduce credit card debt, but most was saved or used for nondurable consumption.

We present and discuss preliminary evidence suggesting that credit ratings significantly influenced prices for subprime mortgage-backed securities issued in the period leading up to the recent financial crisis. Ratings are closely correlated with prices even controlling for a rich set of security- and loan-level controls. This incremental variation in ratings has much less predictive power for security defaults, however, based on findings to date from our ongoing research, suggesting prices were excessively sensitive to ratings relative to their informational content.

The CLASS model is a top-down capital stress testing framework that uses public data, simple econometric models and auxiliary assumptions to project the effect of macroeconomic scenarios on U.S. banking firms. Through the lens of the model, we find that the total banking system capital shortfall under stressful macroeconomic conditions began to rise 4years before the financial crisis, peaking in the fourth quarter of 2008. The capital gap has since fallen sharply, and is now significantly below pre-crisis levels. In the cross-section, banking firms estimated to be most sensitive to macroeconomic conditions also have higher capital ratios, consistent with a “precautionary” view of bank capital, though this behavior is evident only since the crisis. We interpret our results as evidence that the resiliency of the U.S. banking system has improved since the financial crisis, and also as an illustration of the value of stress testing as a macroprudential policy tool.