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Nonlinearity and flight to safety in the risk-return trade-off for stocks and bonds
Vogt, Erik; Adrian, Tobias; Crump, Richard K. (2015-04-01)
We document a highly significant, strongly nonlinear dependence of stock and bond returns on past equity market volatility as measured by the VIX. We propose a new estimator for the shape of the nonlinear forecasting relationship that exploits additional variation in the cross section of returns. The nonlinearities are mirror images for stocks and bonds, revealing flight to safety: expected returns increase for stocks when volatility increases from moderate to high levels, while they decline for Treasury securities. These findings provide support for dynamic asset pricing theories where the ...
Staff Reports , Paper 723

Working Paper
Financial variables and macroeconomic forecast errors
Barnes, Michelle L.; Olivei, Giovanni P. (2017-10-31)
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 Papers , Paper 17-17

Working Paper
The Effect of Large Investors on Asset Quality: Evidence from Subprime Mortgage Securities
Adelino, Manuel; Frame, W. Scott; Gerardi, Kristopher S. (2014-04-01)
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 ...
FRB Atlanta Working Paper , Paper 2014-4

Working Paper
Clearing the Fog: The Predictive Power of Weather for Employment Reports and their Asset Price Responses
Wilson, Daniel J. (2017-09-26)
This paper exploits vast granular data – with over one million county-month observations – to estimate a dynamic panel data model of weather’s local employment effects. The fitted county model is then aggregated and used to generate in-sample and rolling out-of-sample (“nowcast”) estimates of the weather effect on national monthly employment. These nowcasts, which use only employment and weather data available prior to a given employment report, are significantly predictive not only of the surprise component of employment reports but also of stock and bond market returns on the days ...
Working Paper Series , Paper 2017-13

Working Paper
A Coherent Framework for Predicting Emerging Market Credit Spreads with Support Vector Regression
Anderson, Gary S.; Audzeyeva, Alena (2019-10-17)
We propose a coherent framework using support vector regression (SRV) for generating and ranking a set of high quality models for predicting emerging market sovereign credit spreads. Our framework adapts a global optimization algorithm employing an hv-block cross-validation metric, pertinent for models with serially correlated economic variables, to produce robust sets of tuning parameters for SRV kernel functions. In contrast to previous approaches identifying a single "best" tuning parameter setting, a task that is pragmatically improbable to achieve in many applications, we proceed with ...
Finance and Economics Discussion Series , Paper 2019-074

Report
Global price of risk and stabilization policies
Vogt, Erik; Adrian, Tobias; Stackman, Daniel (2016-08-01)
We estimate a highly significant price of risk that forecasts global stock and bond returns as a nonlinear function of the CBOE Volatility Index (VIX). We show that countries? exposure to the global price of risk is related to macroeconomic risks as measured by output, credit, and inflation volatility, the magnitude of financial crises, and stock and bond market downside risk. Higher exposure to the global price of risk corresponds to both higher output volatility and higher output growth. We document that the transmission of the global price of risk to macroeconomic outcomes is mitigated by ...
Staff Reports , Paper 786

Report
Simple and reliable way to compute option-based risk-neutral distributions
Malz, Allan M. (2014-06-01)
This paper describes a method for computing risk-neutral density functions based on the option-implied volatility smile. Its aim is to reduce complexity and provide cookbook-style guidance through the estimation process. The technique is robust and avoids violations of option no-arbitrage restrictions that can lead to negative probabilities and other implausible results. I give examples for equities, foreign exchange, and long-term interest rates.
Staff Reports , Paper 677

Working Paper
The Anatomy of Out-of-Sample Forecasting Accuracy
Rapach, David E.; Borup, Daniel; Goulet Coulombe, Philippe; Montes Schütte, Erik Christian; Schwenk-Nebbe, Sander (2022-11-07)
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 ...
FRB Atlanta Working Paper , Paper 2022-16

Working Paper
Are Lemons Sold First? Dynamic Signaling in the Mortgage Market
Gerardi, Kristopher S.; Hartman-Glaser, Barney; Adelino, Manuel (2016-07-01)
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 ...
FRB Atlanta Working Paper , Paper 2016-8

Report
Changing Risk-Return Profiles
Hundtofte , Sean; Giannone, Domenico; Crump, Richard K.; Everaert, Miro (2018-06-01)
We show that realized volatility in market returns and financial sector stock returns have strong predictive content for the future distribution of market returns. This is a robust feature of the last century of U.S. data and, most importantly, can be exploited in real time. Current realized volatility has the most information content on the uncertainty of future returns, whereas it has only limited content about the location of the future return distribution. When volatility is low, the predicted distribution of returns is less dispersed and probabilistic forecasts are sharper.
Staff Reports , Paper 850

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