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A Bayesian Approach to Inference on Probabilistic Surveys
Del Negro, Marco; Casarin, Roberto; Bassetti, Federico (2022-07-01)
We propose a nonparametric Bayesian approach for conducting inference on probabilistic surveys. We use this approach to study whether U.S. Survey of Professional Forecasters density projections for output growth and inflation are consistent with the noisy rational expectations hypothesis. We find that in contrast to theory, for horizons close to two years, there is no relationship whatsoever between subjective uncertainty and forecast accuracy for output growth density projections, both across forecasters and over time, and only a mild relationship for inflation projections. As the horizon ...
Staff Reports , Paper 1025

Working Paper
High-Dimensional Copula-Based Distributions with Mixed Frequency Data
Patton, Andrew J.; Oh, Dong Hwan (2015-05-19)
This paper proposes a new model for high-dimensional distributions of asset returns that utilizes mixed frequency data and copulas. The dependence between returns is decomposed into linear and nonlinear components, enabling the use of high frequency data to accurately forecast linear dependence, and a new class of copulas designed to capture nonlinear dependence among the resulting uncorrelated, low frequency, residuals. Estimation of the new class of copulas is conducted using composite likelihood, facilitating applications involving hundreds of variables. In- and out-of-sample tests confirm ...
Finance and Economics Discussion Series , Paper 2015-50

Working Paper
Options on Interbank Rates and Implied Disaster Risk
Doshi, Hitesh; Kim, Hyung Joo; Seo, Sang Byung (2023-08-14)
The identification of disaster risk has remained a significant challenge due to the rarity of macroeconomic disasters. We show that the interbank market can help characterize the time variation in disaster risk. We propose a risk-based model in which macroeconomic disasters are likely to coincide with interbank market failure. Using interbank rates and their options, we estimate our model via MLE and filter out the short-run and long-run components of disaster risk. Our estimation results are independent of the stock market and serve as an external validity test of rare disaster models, which ...
Finance and Economics Discussion Series , Paper 2023-054

Report
Announcement-Specific Decompositions of Unconventional Monetary Policy Shocks and Their Macroeconomic Effects
Lewis, Daniel J. (2019-06-01)
I propose to identify announcement-specific decompositions of asset price changes into monetary policy shocks exploiting heteroskedasticity in intraday data. This approach accommodates both changes in the nature of shocks and the state of the economy across announcements, allowing me to explicitly compare shocks across announcements. I compute decompositions with respect to Fed Funds, forward guidance, asset purchase, and Fed information shocks for 2007-19. Only a handful of announcements spark significant shocks. Both forward guidance and asset purchase shocks lower corporate yields and ...
Staff Reports , Paper 891

Report
Equity Volatility Term Premia
Van Tassel, Peter (2018-09-01)
This paper estimates the term-structure of volatility risk premia for the stock market. Realized variance term premia are increasing in systematic risk and predict variance swap returns. Implied volatility term premia are decreasing in risk initially, but then increase at a lag, predicting VIX futures returns. By modeling the logarithm of realized variance, the paper derives a closed-form relationship between the prices of variance swaps and VIX futures. The model provides accurate pricing and highlights periods of dislocation between the index options and VIX futures markets. Term premia ...
Staff Reports , Paper 867

Working Paper
Systemic Tail Risk: High-Frequency Measurement, Evidence and Implications
Erdemlioglu, Deniz; Neely, Christopher J.; Yang, Xiye (2023-07-20)
We develop a new framework to measure market-wide (systemic) tail risk in the cross-section of high-frequency stock returns. We estimate the time-varying jump intensities of asset prices and introduce a testing approach that identifies multi-asset tail risk based on the release times of scheduled news announcements. Using high-frequency data on individual U.S. stocks and sector-specific ETF portfolios, we find that most of the FOMC announcements create systemic left tail risk, but there is no evidence that macro announcements do so. The magnitude of the tail risk induced by Fed news varies ...
Working Papers , Paper 2023-016

Report
Regression-based estimation of dynamic asset pricing models
Moench, Emanuel; Adrian, Tobias; Crump, Richard K. (2011)
We propose regression-based estimators for beta representations of dynamic asset pricing models with an affine pricing kernel specification. We allow for state variables that are cross-sectional pricing factors, forecasting variables for the price of risk, and factors that are both. The estimators explicitly allow for time-varying prices of risk, time-varying betas, and serially dependent pricing factors. Our approach nests the Fama-MacBeth two-pass estimator as a special case. We provide asymptotic multistage standard errors necessary to conduct inference for asset pricing test. We ...
Staff Reports , Paper 493

Report
Risk-Free Rates and Convenience Yields Around the World
Van Tassel, Peter; Diamond, William (2022-09-01)
We infer risk-free rates from index option prices to estimate safe asset convenience yields in ten G-11 currencies. Countries' convenience yields increase linearly with the level of their interest rates, with U.S. convenience yields being the fifth largest. During financial crises, convenience yields grow, but the difference between U.S. and foreign convenience yields generally does not. Covered interest parity (CIP) deviations using our option-implied rates are roughly the same size between the U.S. and each other country. A model where convenience yields depend on domestic financial ...
Staff Reports , Paper 1032

Working Paper
Time-varying Volatility and the Power Law Distribution of Stock Returns
Warusawitharana, Missaka (2016-03-18)
While many studies find that the tail distribution of high frequency stock returns follow a power law, there are only a few explanations for this finding. This study presents evidence that time-varying volatility can account for the power law property of high frequency stock returns. The power law coefficients obtained by estimating a conditional normal model with nonparametric volatility show a striking correspondence to the power law coefficients estimated from returns data for stocks in the Dow Jones index. A cross-sectional regression of the data coefficients on the model-implied ...
Finance and Economics Discussion Series , Paper 2016-022

Working Paper
Texas Manufacturing Outlook Survey: survey methodology and performance
Cañas, Jesus; Kerr, Emily (2014-12-01)
The Texas Manufacturing Outlook Survey (TMOS) is a monthly survey of area manufacturers conducted by the Federal Reserve Bank of Dallas. TMOS indexes provide timely information on manufacturing activity in Texas, which is useful for understanding broader changes in regional economic conditions. This paper describes the survey methodology and analyzes the explanatory and predictive power of TMOS indexes with regard to other measures of state economic activity. Regression analysis shows that several TMOS indexes successfully explain monthly changes in Texas employment and quarterly changes in ...
Working Papers , Paper 1416

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