What Are the Macroeconomic Effects of High-Frequency Uncertainty Shocks Staff Working Paper 2016-25 Laurent Ferrara, Pierre Guérin This paper evaluates the effects of high-frequency uncertainty shocks on a set of low-frequency macroeconomic variables that are representative of the U.S. economy. Rather than estimating models at the same common low-frequency, we use recently developed econometric models, which allows us to deal with data of different sampling frequencies. Content Type(s): Staff research, Staff working papers Research Topic(s): Business fluctuations and cycles, Econometric and statistical methods JEL Code(s): C, C3, C32, E, E3, E32, E4, E44
Housing and Tax-Deferred Retirement Accounts Staff Working Paper 2016-24 Anson T. Y. Ho, Jie Zhou Assets in tax-deferred retirement accounts (TDA) and housing are two major components of household portfolios. In this paper, we develop a life-cycle model to examine the interaction between households’ use of TDA and their housing decisions. Content Type(s): Staff research, Staff working papers Research Topic(s): Economic models, Housing JEL Code(s): C, C6, C61, D, D1, D14, D9, D91, E, E2, E21, H, H2, H24, R, R2, R21
Identification and Estimation of Risk Aversion in First-Price Auctions with Unobserved Auction Heterogeneity Staff Working Paper 2016-23 Serafin Grundl, Yu Zhu This paper shows point identification in first-price auction models with risk aversion and unobserved auction heterogeneity by exploiting multiple bids from each auction and variation in the number of bidders. The required exclusion restriction is shown to be consistent with a large class of entry models. Content Type(s): Staff research, Staff working papers Research Topic(s): Econometric and statistical methods JEL Code(s): C, C1, C14, C5, C57, D, D4, D44, L, L0, L00
Estimating Systematic Risk Under Extremely Adverse Market Conditions Staff Working Paper 2016-22 Maarten van Oordt, Chen Zhou This paper considers the problem of estimating a linear model between two heavy-tailed variables if the explanatory variable has an extremely low (or high) value. We propose an estimator for the model coefficient by exploiting the tail dependence between the two variables and prove its asymptotic properties. Content Type(s): Staff research, Staff working papers Research Topic(s): Econometric and statistical methods, Financial markets JEL Code(s): C, C1, C14, G, G0, G01
Early Warning of Financial Stress Events: A Credit-Regime-Switching Approach Staff Working Paper 2016-21 Fuchun Li, Hongyu Xiao We propose an early warning model for predicting the likelihood of a financial stress event for a given future time, and examine whether credit plays an important role in the model as a non-linear propagator of shocks. Content Type(s): Staff research, Staff working papers Research Topic(s): Econometric and statistical methods, Financial stability JEL Code(s): C, C1, C12, C14, G, G0, G01, G1, G17
A General Approach to Recovering Market Expectations from Futures Prices with an Application to Crude Oil Staff Working Paper 2016-18 Christiane Baumeister, Lutz Kilian Futures markets are a potentially valuable source of information about price expectations. Exploiting this information has proved difficult in practice, because time-varying risk premia often render the futures price a poor measure of the market expectation of the price of the underlying asset. Content Type(s): Staff research, Staff working papers Research Topic(s): Econometric and statistical methods, International topics JEL Code(s): C, C5, C53, D, D8, D84, G, G1, G14, Q, Q4, Q43
Dating Systemic Financial Stress Episodes in the EU Countries Staff Working Paper 2016-11 Benjamin Klaus, Tuomas Peltonen, Thibaut Duprey This paper introduces a new methodology to date systemic financial stress events in a transparent, objective and reproducible way. The financial cycle is captured by a monthly country-specific financial stress index. Content Type(s): Staff research, Staff working papers Research Topic(s): Business fluctuations and cycles, Central bank research, Econometric and statistical methods, Economic models, Financial markets, Financial stability, Financial system regulation and policies, Monetary and financial indicators JEL Code(s): C, C5, C54, G, G0, G01, G1, G15
Measuring Systemic Risk Across Financial Market Infrastructures Staff Working Paper 2016-10 Fuchun Li, Héctor Pérez Saiz We measure systemic risk in the network of financial market infrastructures (FMIs) as the probability that two or more FMIs have a large credit risk exposure to the same FMI participant. Content Type(s): Staff research, Staff working papers Research Topic(s): Econometric and statistical methods, Financial stability, Payment clearing and settlement systems JEL Code(s): C, C5, C58, G, G2, G21, G23
Understanding Firms’ Inflation Expectations Using the Bank of Canada’s Business Outlook Survey Staff Working Paper 2016-7 Simon Richards, Matthieu Verstraete Inflation expectations are a key determinant of actual and future inflation and thus matter for the conduct of monetary policy. We study how firms form their inflation expectations using quarterly firm-level data from the Bank of Canada’s Business Outlook Survey, spanning the 2001 to 2015 period. Content Type(s): Staff research, Staff working papers Research Topic(s): Central bank research, Credibility, Econometric and statistical methods, Firm dynamics, Inflation and prices, Inflation targets, Monetary policy framework JEL Code(s): C, C1, C2, C25, D, D2, D21, D8, D84, E, E3, E31, E5, E52, E58
Macroeconomic Uncertainty Through the Lens of Professional Forecasters Staff Working Paper 2016-5 Soojin Jo, Rodrigo Sekkel We analyze the evolution of macroeconomic uncertainty in the United States, based on the forecast errors of consensus survey forecasts of different economic indicators. Comprehensive information contained in the survey forecasts enables us to capture a real-time subjective measure of uncertainty in a simple framework. Content Type(s): Staff research, Staff working papers Research Topic(s): Business fluctuations and cycles, Econometric and statistical methods JEL Code(s): C, C3, C38, E, E1, E17, E3, E32