Jumps in Financial Markets: A New Nonparametric Test and Jump Dynamics

This article introduces a new nonparametric test to detect jump arrival times and realized jump sizes in asset prices up to the intra-day level. We demonstrate that the likelihood of misclassification of jumps becomes negligible when we use high-frequency returns. Using our test, we examine jump dyn...

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Veröffentlicht in:The Review of financial studies 2008-11, Vol.21 (6), p.2535-2563
Hauptverfasser: Lee, Suzanne S., Mykland, Per A.
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Mykland, Per A.
description This article introduces a new nonparametric test to detect jump arrival times and realized jump sizes in asset prices up to the intra-day level. We demonstrate that the likelihood of misclassification of jumps becomes negligible when we use high-frequency returns. Using our test, we examine jump dynamics and their distributions in the U.S. equity markets. The results show that individual stock jumps are associated with prescheduled earnings announcements and other company-specific news events. Additionally, S&P 500 Index jumps are associated with general market news announcements. This suggests different pricing models for individual equity options versus index option.
doi_str_mv 10.1093/rfs/hhm056
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source EBSCOhost Business Source Complete; JSTOR Archive Collection A-Z Listing; Oxford University Press Journals All Titles (1996-Current)
subjects Asset pricing
Capital market theory
Econometrics
Economic fluctuations
Equity
Estimators
Financial engineering
Financial markets
Financial research
Hedging
Market prices
Monte Carlo simulation
Securities markets
Significance level
Statistical analysis
Statistical theories
Statistical variance
Stochastic models
Stock exchanges
Stock indexing
Stock market indices
Stock prices
Studies
Volatility
title Jumps in Financial Markets: A New Nonparametric Test and Jump Dynamics
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