1 - 7 of 7 articles
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...
We develop a microstructure model that, in contrast to previous models, allows one to estimate the frequency and quality of private information. In addition, the model produces stationary asset price and trading volume series. We find evidence that information arrives frequently within a day and...
We consider the problem of deriving an empirical measure of daily integrated variance (IV) in the situation where high-frequency price data are unavailable for part of the day. We study three estimators in this context and characterize the assumptions that justify their use. We show that the...
In this article I study the statistical properties of a bias-corrected realized variance measure when high-frequency asset prices are contaminated with market microstructure noise. The analysis is based on a pure jump process for asset prices and explicitly distinguishes among different sampling...
Financial decision makers often consider the information in currency option valuations when making assessments about future exchange rates. The purpose of this article is to systematically assess the quality of option-based volatility and density forecasts. We use a unique dataset consisting of...
In this article we reexamine the profitability of technical analysis using White’s reality check and Hansen’s SPA test that correct the data snooping bias. Compared to previous studies, we study a more complete “universe” of trading techniques, including not only simple rules but also complex...
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