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Working Paper
The Effect of Large Investors on Asset Quality: Evidence from Subprime Mortgage Securities
The government-sponsored enterprises (GSEs) Fannie Mae and Freddie Mac?the dominant investors in subprime mortgage-backed securities before the 2008 crisis?substantively affected collateral composition in this market. Mortgages included in securities designed for the GSEs performed better than those backing other securities in the same deals, holding observable risk constant. Consistent with the transmission of private information, these effects are concentrated in low-documentation loans and for issuers that were highly dependent on the GSEs and were corporate affiliates of the mortgage ...
Working Paper
Bayesian Inference and Prediction of a Multiple-Change-Point Panel Model with Nonparametric Priors
Change point models using hierarchical priors share in the information of each regime when estimating the parameter values of a regime. Because of this sharing, hierarchical priors have been very successful when estimating the parameter values of short-lived regimes and predicting the out-of-sample behavior of the regime parameters. However, the hierarchical priors have been parametric. Their parametric nature leads to global shrinkage that biases the estimates of the parameter coefficient of extraordinary regimes toward the value of the average regime. To overcome this shrinkage, we model ...
Working Paper
Are Lemons Sold First? Dynamic Signaling in the Mortgage Market
A central result in the theory of adverse selection in asset markets is that informed sellers can signal quality and obtain higher prices by delaying trade. This paper provides some of the first evidence of a signaling mechanism through trade delays using the residential mortgage market as a laboratory. We find a strong relationship between mortgage performance and time to sale for privately securitized mortgages. Additionally, deals made up of more seasoned mortgages are sold at lower yields. These effects are strongest in the "Alt-A" segment of the market, where mortgages are often sold ...
Working Paper
Monetary policy surprises, positions of traders, and changes in commodity futures prices
Using futures data for the period 1990?2008, this paper finds evidence that expansionary monetary policy surprises tend to increase crude and heating oil prices, and contractionary monetary policy shocks increase gold and platinum prices. Our analysis uncovers substantial heterogeneity in the magnitude of this response to positive and negative surprises across different commodities and commodity groups. The results also suggest that the positions of futures traders for the metals and energy commodities strongly respond to monetary policy shocks. The adjustment of the net long positions of ...
Working Paper
Asset Co-movements: Features and Challenges
This paper documents and characterizes the time-varying structure of U.S. and international asset co-movements. Although some of the time variation could be genuine, the sampling uncertainty and time series properties of the series can distort significantly the underlying signal dynamics. We discuss examples that illustrate the pitfalls from drawing conclusions from local trends of asset prices. On a more constructive side, we find that the U.S. main asset classes and major international stock indices share a factor that is closely related to the business cycle. At even lower frequency, the ...
Working Paper
The Anatomy of Out-of-Sample Forecasting Accuracy
We develop metrics based on Shapley values for interpreting time-series forecasting models, including“black-box” models from machine learning. Our metrics are model agnostic, so that they are applicable to any model (linear or nonlinear, parametric or nonparametric). Two of the metrics, iShapley-VI and oShapley-VI, measure the importance of individual predictors in fitted models for explaining the in-sample and out-of-sample predicted target values, respectively. The third metric is the performance-based Shapley value (PBSV), our main methodological contribution. PBSV measures the ...
Working Paper
Variable Annuities: Underlying Risks and Sensitivities
This paper presents a quantitative model designed to understand the sensitivity of variable annuity (VA) contracts to market and actuarial assumptions and how these sensitivities make them a potentially important source of risk to insurance companies during times of stress. VA contracts often include long dated guarantees of market performance that expose the insurer to multiple nondiversifiable risks. Our modeling framework employs a Monte Carlo simulation of asset returns and policyholder behavior to derive fair prices for variable annuities in a risk neutral framework and to estimate ...
Working Paper
Financial variables and macroeconomic forecast errors
A large set of financial variables has only limited power to predict a latent factor common to the year-ahead forecast errors for real Gross Domestic Product (GDP) growth, the unemployment rate, and Consumer Price Index (CPI) inflation for three sets of professional forecasters: the Federal Reserve?s Greenbook, the Survey of Professional Forecasters (SPF), and the Blue Chip Consensus Forecasts. Even when a financial variable appears to be fairly robust across sample periods in explaining the latent factor, from an economic standpoint its contribution appears modest. Still, several financial ...
Working Paper
Financial Nowcasts and Their Usefulness in Macroeconomic Forecasting
Financial data often contain information that is helpful for macroeconomic forecasting, while multistep forecast accuracy also benefits by incorporating good nowcasts of macroeconomic variables. This paper considers the role of nowcasts of financial variables in making conditional forecasts of real and nominal macroeconomic variables using standard quarterly Bayesian vector autoregressions (BVARs). For nowcasting the quarterly value of a variety of financial variables, we document that the average of the available daily data and a daily random walk forecast to fill in the missing days in the ...
Working Paper
Term Premium Variability and Monetary Policy
Two traditional explanations for the mean and variability of the term premium are: (i) time-varying risk premia on long bonds, and (ii) segmented markets between long- and short-term bonds. This paper integrates these two approaches into a medium-scale DSGE model. We consider two sources of business cycle variability: shocks to total factor productivity (TFP), and shocks to the marginal efficiency of investment (MEI). The ability of the risk approach to match the first moment of the term premium depends upon the relative importance of these two shocks. If MEI shocks are an important driver of ...