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Working Paper
Fed-Driven Systemic Tail Risk: High-Frequency Measurement, Evidence and Implications
Yang, Xiye; Neely, Christopher J.; Erdemlioglu, Deniz (2025-05-27)
We develop a framework to measure market-wide (systemic) tail risk in the cross-section of asset returns. Using high-frequency data on individual U.S. stocks and sector-specific ETF portfolios, we estimate time-varying jump intensities and multi-asset tail risk around Fed policy announcements. While most FOMC announcements generate systemic left-tail risk, there is no evidence that macro announcements have a similar effect. The magnitude of the tail risk induced by Fed policy announcements varies over the business cycle, peaks during the global financial crisis and remains high during phases ...
Working Papers , Paper 2023-016

Working Paper
Time-varying Persistence of House Price Growth: The Role of Expectations and Credit Supply
Chudik, Alexander; Smallwood, Aaron; Choi, Chi-Young (2024-05-15)
High persistence is a prominent feature of price movements in U.S. housing markets, i.e., house prices grow faster this period if they grew faster last period. This paper provides two additional new insights to the literature on U.S. house price movements. First, there exists a significant time variation in the persistence of house price growth, both at the national and city level. Second, there is considerable heterogeneity in the time-varying persistence across different regions, particularly in areas that were historically less persistent, such as the capital-poor regions in the Midwest ...
Globalization Institute Working Papers , Paper 426

Working Paper
The Uniform Validity of Impulse Response Inference in Autoregressions
Kilian, Lutz; Inoue, Atsushi (2019-08-11)
Existing proofs of the asymptotic validity of conventional methods of impulse response inference based on higher-order autoregressions are pointwise only. In this paper, we establish the uniform asymptotic validity of conventional asymptotic and bootstrap inference about individual impulse responses and vectors of impulse responses when the horizon is fixed with respect to the sample size. For inference about vectors of impulse responses based on Wald test statistics to be uniformly valid, lag-augmented autoregressions are required, whereas inference about individual impulse responses is ...
Working Papers , Paper 1908

Working Paper
Persistence Dependence in Empirical Relations: The Velocity of Money
Verbrugge, Randal J.; Ashley, Richard (2015-12-15)
Standard theory predicts persistence dependence in numerous economic relationships. (For example, persistence dependence is precisely the kind of nonlinear relationship posited in the Permanent Income Hypothesis; persistence dependence is the inverse of ?frequency dependence? in a relationship.) Until recently, however, it was challenging to achieve credible inference about persistence dependence in an economic relationship using available methods. However, recently developed econometric tools (Ashley and Verbrugge, 2009a) allow one to elegantly quantify the variation in a time-series ...
Working Papers (Old Series) , Paper 1530

Report
OLS Limit Theory for Drifting Sequences of Parameters on the Explosive Side of Unity
Magdalinos, Tassos; Petrova, Katerina (2024-08-01)
A limit theory is developed for the least squares estimator for mildly and purely explosive autoregressions under drifting sequences of parameters with autoregressive roots ρn satisfyingρn → ρ ∈ (—∞, —1] ∪ [1, ∞) and n (|ρn| —1) → ∞.Drifting sequences of innovations and initial conditions are also considered. A standard specification of a short memory linear process for the autoregressive innovations is extended to a triangular array formulation both for the deterministic weights and for the primitive innovations of the linear process, which are allowed to be ...
Staff Reports , Paper 1113

Working Paper
Inference for Local Projections
Inoue, Atsushi; Jordà, Òscar; Kuersteiner, Guido M. (2024-08-13)
Inference for impulse responses estimated with local projections presents interesting challenges and opportunities. Analysts typically want to assess the precision of individual estimates, explore the dynamic evolution of the response over particular regions, and generally determine whether the impulse generates a response that is any different from the null of no effect. Each of these goals requires a different approach to inference. In this article, we provide an overview of results that have appeared in the literature in the past 20 years along with some new procedures that we introduce ...
Working Paper Series , Paper 2024-29

Working Paper
Estimation of the discontinuous leverage effect: Evidence from the NASDAQ order book
Winkelmann, Lars; Bibinger, Markus; Neely, Christopher J. (2017-04-26)
An extensive empirical literature documents a generally negative correlation, named the ?leverage effect,? between asset returns and changes of volatility. It is more challenging to establish such a return-volatility relationship for jumps in high-frequency data. We propose new nonparametric methods to assess and test for a discontinuous leverage effect ? i.e. a relation between contemporaneous jumps in prices and volatility ? in high-frequency data with market microstructure noise. We present local tests and estimators for price jumps and volatility jumps. Five years of transaction data from ...
Working Papers , Paper 2017-12

Working Paper
Bank Capital and Real GDP Growth
Boyarchenko, Nina; Giannone, Domenico; Kovner, Anna (2024-09)
We find evidence that bank capital matters for the distribution of future GDP growth but not its central tendency. Growth in the aggregate bank capital ratio compresses the tails of expected GDP growth, a relationship that is particularly robust in reducing the probability of the worst GDP outcomes. These results suggest a role for regulation to mitigate financial crises, with an additional 100 basis points of bank capital reducing the probability of negative GDP growth by 10 percent at the one-year horizon, even controlling for credit growth and financial conditions, and without a ...
Working Paper , Paper 24-08

Working Paper
Evaluating the Conditionality of Judgmental Forecasts
Berge, Travis J.; Chang, Andrew C.; Sinha, Nitish R. (2019-02-01)
We propose a framework to evaluate the conditionality of forecasts. The crux of our framework is the observation that a forecast is conditional if revisions to the conditioning factor are faithfully incorporated into the remainder of the forecast. We consider whether the Greenbook, Blue Chip, and the Survey of Professional Forecasters exhibit systematic biases in the manner in which they incorporate interest rate projections into the forecasts of other macroeconomic variables. We do not find strong evidence of systematic biases in the three economic forecasts that we consider, as the interest ...
Finance and Economics Discussion Series , Paper 2019-002

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