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We characterize how risk evolves during a crisis. Using high-frequency data, we find that the first two principal components (PCs) of the covariance matrix of global asset returns experience large, sudden, and temporary spikes coinciding with well-known crises - Covid-19 pandemic, Global...
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Information processing filters out the noise in data but it takes time. Hence, low precision signals are available before high precision signals. We analyze how this feature affects asset price informativeness when investors can acquire signals of increasing precision over time about the payoff...
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information embedded in unexpected, but public observable text data in shock and nonshock information. The monitor is trained …
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-announcement times. We use a heteroskedasticity-based procedure to estimate a "Fed non-yield shock", which is orthogonal to yield changes … and is identified from excess volatility in the S&P 500 and various dollar exchange rates. A positive non-yield shock …-yield shock is essentially uncorrelated with previous monetary policy shocks and its effects are large in comparison. Its strong …
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