[Because most mortgages in the United States are securitized in agency mortgage-backed securities (MBS), yield spreads on MBS are a key determinant of homeowners’ funding costs. We study variation in MBS spreads in the time series and across securities and document that MBS spreads show a pronounced cross-sectional smile with respect to the securities’ coupon rates. We present a new pricing model that uses “stripped” MBS prices to identify the contribution of non-interest-rate prepayment risk to spreads and find that this risk explains the smile, whereas the time-series spread variation is mostly accounted for by nonprepayment risk factors.]

A large literature at the intersection of economics and finance offers prescriptions for regulating banks to increase financial stability.This literature abstracts from the discretion that accounting standards give banks over financial reporting, creating a gap between the information assumed to be available to regulators in models of optimal regulation and the information available to regulators in reality.We bridge insights from the economics, finance, and accounting literatures to synthesize knowledge about the design and implementation of bank regulation and identify areas where more work is needed.We present a simple framework for organizing the relevant ideas, namely the externalities that motivate bank regulation, the rationales for allowing accounting discretion, and the use of discretion to circumvent regulation.Our takeaway from reviewing work in these areas is that academic studies of bank regulation and accounting discretion require a more unified approach to design optimal policy for the real world.

Bank liquidity shortages associated with the growth of wholesale-funded credit intermediation has motivated the implementation of liquidity regulations. We analyze a dynamic stochastic general equilibrium model in which liquidity and capital regulations interact with the supply of risk-free assets. In the model, the endogenously time varying tightness of liquidity and capital constraints generates intermediaries’ leverage cycle, influencing the pricing of risk and the level of risk in the economy. Our analysis focuses on liquidity policies’ implications for households’ welfare. Within the context of our model, liquidity requirements are preferable to capital requirements, as tightening liquidity requirements lowers the likelihood of systemic distress without impairing consumption growth. In addition, we find that intermediate ranges of risk-free asset supply achieve higher welfare.

The use of order-flow information by financial firms has come to the forefront of the regulatory debate. Should a dealer who acquires information by taking client orders be allowed to use or share that information? We explore how information sharing affects dealers, clients, and issuer revenues in US Treasury auctions, in a model calibrated to auction results data, which we use to quantify counterfactuals. Sharing information reduces uncertainty about future value. With less uncertainty, risk-averse bidders bid more. For investors, the welfare effects of information sharing depend on how information is shared and how it affects asymmetry. The model shows that investors can benefit when dealers share information with each other, not when they share more with clients.

We explore the term structures of claims to a variety of cash flows, namely, US government bonds (claims to dollars), foreign government bonds (claims to foreign currency), inflation-adjusted bonds (claims to the price index), and equity (claims to future equity indexes or dividends). The average term structures reflect the dynamics of the dollar pricing kernel, cash flow growth, and the interaction between the two. We use an affine model to illustrate how these two components can deliver term structures with a wide range of levels and shapes. Finally, we calibrate a representative agent economy to show that the evidence is consistent with the equilibrium models.

This paper documents that U.S. equity returns are large and positive during the opening hours of European markets. These returns are pervasive and highly economically and statistically significant. Consistent with models of inventory risk, we demonstrate a strong relationship with order imbalances at the close of the preceding U.S. trading day. Rationalizing unconditionally positive “overnight drift” returns, we uncover an asymmetric reaction to demand shocks: market sell-offs generate robust positive overnight reversals, while reversals following market rallies are much more modest. We argue that demand shock asymmetry can arise in inventory management models with time-varying market maker risk-bearing capacity.

Because most mortgages in the United States are securitized in agency mortgage-backed securities (MBS), yield spreads on MBS are a key determinant of homeowners’ funding costs. We study variation in MBS spreads in the time series and across securities and document that MBS spreads show a pronounced cross-sectional smile with respect to the securities’ coupon rates. We present a new pricing model that uses “stripped” MBS prices to identify the contribution of non-interest-rate prepayment risk to spreads and find that this risk explains the smile, whereas the time-series spread variation is mostly accounted for by nonprepayment risk factors. Received March 30, 2015; editorial decision November 21, 2018 by Editor Leonid Kogan.

We evaluate the impact of the Federal Reserve corporate credit facilities (PMCCF and SMCCF) on corporate bond markets. Conditions in primary markets improve once the facilities are announced, particularly for issuers that need to refinance before 2022. Issuance accelerates before spreads normalize. The secondary market points to a causal role for the facilities, with a differential impact on eligible issues and a significant effect of direct bond purchases, but less so for purchases through ETFs. We find evidence that dealers link the primary and secondary market recovery, with facilities affecting dealer willing to underwrite issuances and intermediate in secondary markets.

We study the conditional distribution of GDP growth as a function of economic and financial conditions. Deteriorating financial conditions are associated with an increase in the conditional volatility and a decline in the conditional mean of GDP growth, leading the lower quantiles of GDP growth to vary with financial conditions and the upper quantiles to be stable over time. Upside risks to GDP growth are low in most periods while downside risks increase as financial conditions become tighter. We argue that amplification mechanisms in the financial sector generate the observed growth vulnerability dynamics.