Spot Variance Path Estimation and its Application to High Frequency Jump Testing

Charles Bos, Pawel Janus and Siem Jan Koopman
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Pawel Janus: VU University Amsterdam

No 09-110/4, Tinbergen Institute Discussion Papers from Tinbergen Institute

Abstract: This discussion paper resulted in an article in the Journal of Financial Econometrics , 2012, 10, 354-389.

This paper considers spot variance path estimation from datasets of intraday high frequency asset prices in the presence of diurnal variance patterns, jumps, leverage effects and microstructure noise. We rely on parametric and nonparametric methods. The estimated spot variance path can be used to extend an existing high frequency jump test statistic, to detect arrival times of jumps and to obtain distributional characteristics of detected jumps. The effectiveness of our approach is explored through Monte Carlo simulations. It is shown that sparse sampling for mitigating the impact of microstructure noise has an adverse effect on both spot variance estimation and jump detection. In our approach we can analyze high frequency price observations that are contaminated with microstructure noise without the need for sparse sampling, say at fifteen minute intervals. An empirical illustration is presented for the intraday EUR/USD exchange rates. Our main finding is that fewer jumps are detected when sampling intervals increase.

Keywords: high frequency; intraday periodicity; jump testing; leverage effect; microstructure noise; pre-averaged bipower variation; spot variance (search for similar items in EconPapers)
JEL-codes: C12 C13 C22 G10 G14 (search for similar items in EconPapers)
Date: 2009-12-04
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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Related works:
Journal Article: Spot Variance Path Estimation and Its Application to High-Frequency Jump Testing (2012)
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Persistent link: https://EconPapers.repec.org/RePEc:tin:wpaper:20090110

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