Arbeitspapier

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

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.

Language
Englisch

Bibliographic citation
Series: Tinbergen Institute Discussion Paper ; No. 09-110/4

Classification
Wirtschaft
Hypothesis Testing: General
Estimation: General
Single Equation Models; Single Variables: Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
General Financial Markets: General (includes Measurement and Data)
Information and Market Efficiency; Event Studies; Insider Trading
Subject
high frequency
intraday periodicity
jump testing
leverage effect
microstructure noise
pre-averaged bipower variation
spot variance

Event
Geistige Schöpfung
(who)
Bos, Charles S.
Janus, Pawel
Koopman, Siem Jan
Event
Veröffentlichung
(who)
Tinbergen Institute
(where)
Amsterdam and Rotterdam
(when)
2009

Handle
Last update
10.03.2025, 11:42 AM CET

Data provider

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Object type

  • Arbeitspapier

Associated

  • Bos, Charles S.
  • Janus, Pawel
  • Koopman, Siem Jan
  • Tinbergen Institute

Time of origin

  • 2009

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