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- W3124585920 abstract "We examine tests for jumps based on recent asymptotic results; we interpret the tests as Hausman-type tests. Monte Carlo evidence suggests that the daily ratio z-statistic has appropriate size, good power, and good jump detection capabilities revealed by the confusion matrix comprised of jump classification probabilities. We identify a pitfall in applying the asymptotic approximation over an entire sample. Theoretical and Monte Carlo analysis indicates that microstructure noise biases the tests against detecting jumps, and that a simple lagging strategy corrects the bias. Empirical work documents evidence for jumps that account for 7% of stock market price variance." @default.
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- W3124585920 date "2005-08-19" @default.
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- W3124585920 title "The Relative Contribution of Jumps to Total Price Variance" @default.
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- W3124585920 doi "https://doi.org/10.1093/jjfinec/nbi025" @default.
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