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Measuring Global Financial Market Stresses
Groen, Jan J. J.; Nattinger, Michael; Noble, Adam I. (2020-09-04)
We propose measures of ﬁnancial market stress for forty-six countries and regions across the world. Our measures indicate that worldwide ﬁnancial market stresses rose signiﬁcantly in March following the widespread economic shutdowns in the wake of the COVID-19 pandemic. However, hardly anywhere in the world did these March peaks in ﬁnancial stresses reach those seen during the trough of the 2007-09 Global Financial Crisis. Since March, ﬁnancial market conditions normalized rapidly with ﬁnancial market stresses around average levels. We also show that our ﬁnancial stress measures ...
Staff Reports , Paper 940

Report
Money, credit, monetary policy, and the business cycle in the euro area: what has changed since the crisis?
Giannone, Domenico; Lenza, Michele; Reichlin, Lucrezia (2019-04-01)
This paper studies the relationship between the business cycle and financial intermediation in the euro area. We establish stylized facts and study their stability during the global financial crisis and the European sovereign debt crisis. Long-term interest rates have been exceptionally high and long-term loans and deposits exceptionally low since the Lehman collapse. Instead, short-term interest rates and short-term loans and deposits did not show abnormal dynamics in the course of the financial and sovereign debt crisis.
Staff Reports , Paper 885

Working Paper
ivcrc: An Instrumental Variables Estimator for the Correlated Random Coefficients Model
Benson, David; Masten, Matthew A.; Torgovitsky, Alexander (2020-06-16)
We present the ivcrc command, which implements an instrumental variables (IV) estimator for the linear correlated random coefficients (CRC) model. This model is a natural generalization of the standard linear IV model that allows for endogenous, multivalued treatments and unobserved heterogeneity in treatment effects. The proposed estimator uses recent semiparametric identification results that allow for flexible functional forms and permit instruments that may be binary, discrete, or continuous. The command also allows for the estimation of varying coefficients regressions, which are ...
Finance and Economics Discussion Series , Paper 2020-046

Working Paper
Can Spanned Term Structure Factors Drive Stochastic Yield Volatility?
Rudebusch, Glenn D.; Christensen, Jens H. E.; Lopez, Jose A. (2014-01-16)
The ability of the usual factors from empirical arbitrage-free representations of the term structure?that is, spanned factors?to account for interest rate volatility dynamics has been much debated. We examine this issue with a comprehensive set of new arbitrage-free term structure specifications that allow for spanned stochastic volatility to be linked to one or more of the yield curve factors. Using U.S. Treasury yields, we find that much realized stochastic volatility cannot be associated with spanned term structure factors. However, a simulation study reveals that the usual realized ...
Working Paper Series , Paper 2014-3

Working Paper
The Systematic Component of Monetary Policy in SVARs: An Agnostic Identification Procedure
Arias, Jonas E.; Caldara, Dario; Rubio-Ramirez, Juan F. (2016-12-01)
This paper studies the effects of monetary policy shocks using structural VARs. We achieve identification by imposing sign and zero restrictions on the systematic component of monetary policy. Importantly, our identification scheme does not restrict the contemporaneous response of output to a monetary policy shock. Using data for the period 1965?2007, we consistently find that an increase in the federal funds rate induces a contraction in output. We also find that monetary policy shocks are contractionary during the Great Moderation. Finally, we show that the identification strategy in Uhlig ...
FRB Atlanta Working Paper , Paper 2016-15

Working Paper
The Contribution of Jump Activity and Sign to Forecasting Stock Price Volatility
Bu, Ruijun; Hizmeri, Rodrigo; Izzeldin, Marwan; Murphy, Anthony; Tsionas, Mike G. (2020-11-17)
This paper proposes a novel approach to decompose realized jump measures by type of activity (finite/infinite) and by sign. We also provide noise-robust versions of the ABD jump test (Andersen et al. 2007) and realized semivariance measures for use at high frequency sampling intervals. The volatility forecasting exercise involves the use of different types of jumps, forecast horizons, sampling frequencies, calendar and transaction time-based sampling schemes, as well as standard and noise-robust volatility measures. We find that infinite (finite) jumps improve the forecasts at shorter ...
Working Papers , Paper 1902

Working Paper
Congestion, Agglomeration, and the Structure of Cities
Brinkman, Jeffrey (2016-05-10)
Supersede WP 13-25. Congestion costs in urban areas are significant and clearly represent a negative externality. Nonetheless, economists also recognize the production advantages of urban density in the form of positive agglomeration externalities. The long-run equilibrium outcomes in economies with multiple correlated but o setting externalities have yet to be fully explored in the literature. Therefore, I develop a spatial equilibrium model of urban structure that includes both congestion costs and agglomeration externalities. I then estimate the structural parameters of the model using a ...
Working Papers , Paper 16-13

Working Paper
The Role of News about TFP in U.S. Recessions and Booms
Faccini, Renato; Melosi, Leonardo (2018-04-15)
We develop a general equilibrium model to study the historical contribution of TFP news to the U.S. business cycle. Hiring frictions provide incentives for firms to start hiring ahead of an anticipated improvement in technology. For plausibly calibrated hiring costs, employment gradually rises in response to positive TFP news shocks even under standard preferences. TFP news shocks are identified mainly by current and expected unemployment rates since periods in which average unemployment is relatively high (low) are also periods in which average TFP growth is slow (fast). We work out the ...
Working Paper Series , Paper WP-2018-6

Working Paper
Modelling Dependence in High Dimensions with Factor Copulas
Oh, Dong Hwan; Patton, Andrew J. (2015-05-18)
his paper presents flexible new models for the dependence structure, or copula, of economic variables based on a latent factor structure. The proposed models are particularly attractive for relatively high dimensional applications, involving fifty or more variables, and can be combined with semiparametric marginal distributions to obtain flexible multivariate distributions. Factor copulas generally lack a closed-form density, but we obtain analytical results for the implied tail dependence using extreme value theory, and we verify that simulation-based estimation using rank statistics is ...
Finance and Economics Discussion Series , Paper 2015-51

Working Paper
High-Dimensional Copula-Based Distributions with Mixed Frequency Data
Oh, Dong Hwan; Patton, Andrew J. (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

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