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 |
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creator | Lee, Suzanne S. 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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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.</description><identifier>ISSN: 0893-9454</identifier><identifier>EISSN: 1465-7368</identifier><identifier>DOI: 10.1093/rfs/hhm056</identifier><language>eng</language><publisher>Oxford: Oxford University Press</publisher><subject>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</subject><ispartof>The Review of financial studies, 2008-11, Vol.21 (6), p.2535-2563</ispartof><rights>Copyright 2008 The Society for Financial Studies</rights><rights>Oxford University Press © The Author 2007. Published by Oxford University Press on behalf of The Society for Financial Studies. All rights reserved. For Permissions, please email: journals.permissions@oxfordjournals.org. 2007</rights><rights>The Author 2007. Published by Oxford University Press on behalf of The Society for Financial Studies. All rights reserved. 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This suggests different pricing models for individual equity options versus index option.</description><subject>Asset pricing</subject><subject>Capital market theory</subject><subject>Econometrics</subject><subject>Economic fluctuations</subject><subject>Equity</subject><subject>Estimators</subject><subject>Financial engineering</subject><subject>Financial markets</subject><subject>Financial research</subject><subject>Hedging</subject><subject>Market prices</subject><subject>Monte Carlo simulation</subject><subject>Securities markets</subject><subject>Significance level</subject><subject>Statistical analysis</subject><subject>Statistical theories</subject><subject>Statistical variance</subject><subject>Stochastic models</subject><subject>Stock exchanges</subject><subject>Stock indexing</subject><subject>Stock market indices</subject><subject>Stock prices</subject><subject>Studies</subject><subject>Volatility</subject><issn>0893-9454</issn><issn>1465-7368</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2008</creationdate><recordtype>article</recordtype><recordid>eNqN0M9PwyAUB3BiNHFOL95NiIkeTOqgQAvelun8kTkv80wYhdjZ0gptzP57WWo8eDCe3jt84L33BeAUo2uMBJl4GyZvbzVi2R4YYZqxJCcZ3wcjxAVJBGX0EByFsEEIYULRCMyf-roNsHRwXjrldKkq-Kz8u-nCDZzCpfmEy8a1yqvadL7UcGVCB5Ur4O4hvN06VZc6HIMDq6pgTr7rGLzO71azh2Txcv84my4SzUjWJUbnlDCzLoi2AuWCpYKseRobxji1zFiSCmMLipVilBmjDDEsxwVhaq2pJWNwOfzb-uajj6vIugzaVJVypumDJDnmWU75PyBiKUIkwvNfcNP03sUjZEoQYhzFHcfgakDaNyF4Y2Xry1r5rcRI7oKXMXg5BB_xxYCbvv3bnQ1uE7rG_0gah2ZcpOQLlS6LuA</recordid><startdate>20081101</startdate><enddate>20081101</enddate><creator>Lee, Suzanne S.</creator><creator>Mykland, Per A.</creator><general>Oxford University Press</general><general>Oxford Publishing Limited (England)</general><scope>AAYXX</scope><scope>CITATION</scope><scope>8BJ</scope><scope>FQK</scope><scope>JBE</scope></search><sort><creationdate>20081101</creationdate><title>Jumps in Financial Markets: A New Nonparametric Test and Jump Dynamics</title><author>Lee, Suzanne S. ; Mykland, Per A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c536t-ec7435ebd3cf90795293b827955584f5ef329efd41aa545eeae3e571d35abc4f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2008</creationdate><topic>Asset pricing</topic><topic>Capital market theory</topic><topic>Econometrics</topic><topic>Economic fluctuations</topic><topic>Equity</topic><topic>Estimators</topic><topic>Financial engineering</topic><topic>Financial markets</topic><topic>Financial research</topic><topic>Hedging</topic><topic>Market prices</topic><topic>Monte Carlo simulation</topic><topic>Securities markets</topic><topic>Significance level</topic><topic>Statistical analysis</topic><topic>Statistical theories</topic><topic>Statistical variance</topic><topic>Stochastic models</topic><topic>Stock exchanges</topic><topic>Stock indexing</topic><topic>Stock market indices</topic><topic>Stock prices</topic><topic>Studies</topic><topic>Volatility</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lee, Suzanne S.</creatorcontrib><creatorcontrib>Mykland, Per A.</creatorcontrib><collection>CrossRef</collection><collection>International Bibliography of the Social Sciences (IBSS)</collection><collection>International Bibliography of the Social Sciences</collection><collection>International Bibliography of the Social Sciences</collection><jtitle>The Review of financial studies</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lee, Suzanne S.</au><au>Mykland, Per A.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Jumps in Financial Markets: A New Nonparametric Test and Jump Dynamics</atitle><jtitle>The Review of financial studies</jtitle><stitle>Rev Finan Stud</stitle><date>2008-11-01</date><risdate>2008</risdate><volume>21</volume><issue>6</issue><spage>2535</spage><epage>2563</epage><pages>2535-2563</pages><issn>0893-9454</issn><eissn>1465-7368</eissn><abstract>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. 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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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