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Working Paper
Sluggish news reactions: A combinatorial approach for synchronizing stock jumps
Stock prices often react sluggishly to news, producing gradual jumps and jump delays. Econometricians typically treat these sluggish reactions as microstructure effects and settle for a coarse sampling grid to guard against them. Synchronizing mistimed stock returns on a fine sampling grid allows us to better approximate the true common jumps in related stock prices.
Working Paper
Fed-Driven Systemic Tail Risk: High-Frequency Measurement, Evidence and Implications
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 Paper
Fed-Driven Systemic Tail Risk: High-Frequency Measurement, Evidence and Implications
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 Paper
Systemic Tail Risk: High-Frequency Measurement, Evidence and Implications
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 Paper
Testing for Multi-Asset Systemic Tail Risk
We develop a testing 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 test for multi-asset tail risk around Fed policy announcements. 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 of unconventional monetary policy. While most FOMC announcements generate systemic left-tail risk, there is no ...
Working Paper
Sluggish news reactions: A combinatorial approach for synchronizing stock jumps
Stock prices often react sluggishly to news, producing gradual and delayed jumps. Econometricians typically treat these sluggish reactions as microstructure effects and settle for a coarse sampling grid to guard against them. We introduce new methods to synchronize mistimed stock returns on a fine sampling grid that allow us to better approximate the true common jumps in the efficient prices of related stocks in an application to Dow 30 data. The synchronized jumps produce better jump covariance estimates and estimates of the realized jump betas with better forecasting power, and superior ...