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Report
Risk appetite and exchange Rates
We present evidence that the growth of U.S.-dollar-denominated banking sector liabilities forecasts appreciations of the U.S. dollar, both in-sample and out-of-sample, against a large set of foreign currencies. We provide a theoretical foundation for a funding liquidity channel in a global banking model where exchange rates fluctuate as a function of banks? balance sheet capacity. We estimate prices of risk using a cross-sectional asset pricing approach and show that the U.S. dollar funding liquidity forecasts exchange rates because of its association with time-varying risk premia. Our ...
Report
Intermediary leverage cycles and financial stability
We present a theory of financial intermediary leverage cycles within a dynamic model of the macroeconomy. Intermediaries face risk-based funding constraints that give rise to procyclical leverage and a procyclical share of intermediated credit. The pricing of risk varies as a function of intermediary leverage, and asset return exposures to intermediary leverage shocks earn a positive risk premium. Relative to an economy with constant leverage, financial intermediaries generate higher consumption growth and lower consumption volatility in normal times, at the cost of endogenous systemic ...
Working Paper
Bubbles and Leverage: A Simple and Unified Approach
In this paper, we lay out a simple framework that captures much of what the theoretical literature has to say about the role of credit in systemically important asset booms and busts. In addition, we suggest ways in which to incorporate physical investment in the bubble asset as well as monetary policy.
Discussion Paper
Why Are Credit Card Rates So High?
Credit cards play a crucial role in U.S. consumer finance, with 74 percent of adults having at least one. They serve as the main method of payment for most individuals, accounting for 70 percent of retail spending. They are also the primary source of unsecured borrowing, with 60 percent of accounts carrying a balance from one month to the next. Surprisingly, credit card interest rates are very high, averaging 23 percent annually in 2023. Indeed, their rates are far higher than the rates on any other major type of loan or bond. Why are credit card rates so high? In our recent research paper, ...
Report
Nonparametric pricing of multivariate contingent claims
In this paper, I derive and implement a nonparametric, arbitrage-free technique for multivariate contingent claim (MVCC) pricing. Using results from the method of copulas, I show that the multivariate risk-neutral density can be written as a product of marginal risk-neutral densities and a risk-neutral dependence function. I then develop a pricing technique using nonparametrically estimated marginal risk-neutral densities (based on options data) and a nonparametric dependence function (based on historical return data). By using nonparametric estimation, I avoid the pricing biases that result ...
Working Paper
What we learn from China's rising shadow banking: exploring the nexus of monetary tightening and banks' role in entrusted lending
We argue that China's rising shadow banking was inextricably linked to potential balance-sheet risks in the banking system. We substantiate this argument with three didactic findings: (1) commercial banks in general were prone to engage in channeling risky entrusted loans; (2) shadow banking through entrusted lending masked small banks' exposure to balance-sheet risks; and (3) two well-intended regulations and institutional asymmetry between large and small banks combined to give small banks an incentive to exploit regulatory arbitrage by bringing off-balance-sheet risks into the balance ...
Report
Credit Card Banking
Credit card interest rates, the marginal cost of consumption for nearly half of households, currently average 23 percent, far exceeding the rates on any other major type of loan or bond. Why are these rates so high? To understand this, and the economics of credit card banking more generally, we analyze regulatory account-level data on 330 million monthly accounts, representing 90 percent of the US credit card market. Default rates are relatively high at around 5 percent, but explain only a fraction of cards’ rates. Non-interest expenses and rewards payments are more than offset by ...
Report
The cost of capital of the financial sector
Standard factor pricing models do not capture well the common time-series or cross-sectional variation in average returns of financial stocks. We propose a five-factor asset pricing model that complements the standard Fama and French (1993) three-factor model with a financial sector ROE factor (FROE) and the spread between the financial sector and the market return (SPREAD). This five-factor model helps to alleviate the pricing anomalies for financial sector stocks and also performs well for nonfinancial sector stocks compared with the Fama and French (2014) five-factor model or the Hou, Xue, ...
Working Paper
Liquidity Premia, Price-Rent Dynamics, and Business Cycles
n the U.S. economy during the past 25 years, house prices exhibit fluctuations considerably larger than house rents, and these large fluctuations tend to move together with business cycles. We build a simple theoretical model to characterize these observations by showing the tight connection between price-rent fluctuation and the liquidity constraint faced by productive firms. After developing economic intuition for this result, we estimate a medium-scale dynamic general equilibrium model to assess the empirical importance of the role the price-rent fluctuation plays in the business cycle. ...
Working Paper
Spurious Inference in Unidentified Asset-Pricing Models
This paper studies some seemingly anomalous results that arise in possibly misspecified and unidentified linear asset-pricing models estimated by maximum likelihood and one-step generalized method of moments (GMM). Strikingly, when useless factors (that is, factors that are independent of the returns on the test assets) are present, the models exhibit perfect fit, as measured by the squared correlation between the model's fitted expected returns and the average realized returns, and the tests for correct model specification have asymptotic power that is equal to the nominal size. In other ...