Jump-robust volatility estimation using dynamic dual-domain integration method
In this paper, we propose a nonparametric procedure to estimate the volatility when the underlying price process is governed by Brownian semimartingale with jumps. The estimator combines the threshold technique and dynamic dual-domain integration approach for volatility when the price process is dri...
Saved in:
Published in | Communications in statistics. Theory and methods Vol. 50; no. 5; pp. 1250 - 1273 |
---|---|
Main Authors | , |
Format | Journal Article |
Language | English |
Published |
Philadelphia
Taylor & Francis
04.03.2021
Taylor & Francis Ltd |
Subjects | |
Online Access | Get full text |
Cover
Loading…
Abstract | In this paper, we propose a nonparametric procedure to estimate the volatility when the underlying price process is governed by Brownian semimartingale with jumps. The estimator combines the threshold technique and dynamic dual-domain integration approach for volatility when the price process is driven only by diffusions without jumps. The proposed estimator is consistent and asymptotically normal. A simulation study shows that the proposed estimator exhibits excellent performance over a wide range of jump sizes and for different finite sampling frequencies. A real data application is given to illustrate the potential applications of the proposed method. |
---|---|
AbstractList | In this paper, we propose a nonparametric procedure to estimate the volatility when the underlying price process is governed by Brownian semimartingale with jumps. The estimator combines the threshold technique and dynamic dual-domain integration approach for volatility when the price process is driven only by diffusions without jumps. The proposed estimator is consistent and asymptotically normal. A simulation study shows that the proposed estimator exhibits excellent performance over a wide range of jump sizes and for different finite sampling frequencies. A real data application is given to illustrate the potential applications of the proposed method. |
Author | Ye, Xu-Guo Zhao, Yan-Yong |
Author_xml | – sequence: 1 givenname: Xu-Guo surname: Ye fullname: Ye, Xu-Guo email: yexuguo522@126.com organization: School of Science, Kaili University – sequence: 2 givenname: Yan-Yong surname: Zhao fullname: Zhao, Yan-Yong organization: Department of Statistics, Nanjing Audit University |
BookMark | eNp9kF1LwzAUhoNMcJv-BKHgdWdO87HkThl-MvRGwbuQpu3MaJOZtEr_vS2dt14dDjzv-XgWaOa8KxG6BLwCLPA1JhywzPgqwyBXwBkGQU7QHBjJUgrsY4bmI5OO0BlaxLjHGNhakDl6ee6aQxp83sU2-fa1bm1t2z4pY2ubofEu6aJ1u6TonW6sSYpO12nhG21dYl1b7sJENWX76YtzdFrpOpYXx7pE7_d3b5vHdPv68LS53aYmE7xN8wpLzTUAg4xxmq91nlHgppCsMrwELoUQkjJpeEa50IAJxSXJmciNplVOluhqmnsI_qsbjlV73wU3rFQZFQIzKSUMFJsoE3yMoazUIQxfhV4BVqM69adOjerUUd2Qu5ly1lU-NPrHh7pQre5rH6qgnbFRkf9H_AKzNXdl |
Cites_doi | 10.1080/10485252.2013.844805 10.1093/jjfinec/nbi022 10.1111/jtsa.12082 10.1016/S0304-405X(03)00207-1 10.1016/S0304-4076(03)00110-6 10.1017/S026646660808047X 10.1093/jjfinec/nbh001 10.1093/rfs/hhh006 10.2307/2171860 10.1111/j.1540-6321.2004.00632.x 10.1017/S0266466609090616 10.2307/2329471 10.1111/1468-0262.00395 10.1214/088342305000000412 10.1198/016214503388619157 10.1007/s00780-015-0255-1 10.1017/S0266466603195035 10.1093/biomet/ass034 10.1371/journal.pone.0139041 10.1007/s10203-013-0150-1 10.1007/978-3-540-74448-1 10.2307/3214513 10.1016/j.ecosta.2016.07.002 10.1111/j.1467-9469.2008.00622.x 10.1007/978-0-387-69395-8 10.1016/j.jeconom.2010.03.019 10.1080/02331888.2013.828058 10.1007/s11203-012-9072-8 10.1016/j.jeconom.2010.07.008 10.1111/1467-9469.00180 10.1198/016214507000000176 10.1007/s40953-018-0129-4 10.1093/jjfinec/nbj007 10.1016/j.csda.2011.10.004 10.1016/j.jempfin.2015.05.001 10.1016/j.jeconom.2018.09.011 10.1016/j.spa.2013.09.012 10.2307/1911242 |
ContentType | Journal Article |
Copyright | 2019 Taylor & Francis Group, LLC 2019 2019 Taylor & Francis Group, LLC |
Copyright_xml | – notice: 2019 Taylor & Francis Group, LLC 2019 – notice: 2019 Taylor & Francis Group, LLC |
DBID | AAYXX CITATION 7SC 7TB 8FD FR3 JQ2 KR7 L7M L~C L~D |
DOI | 10.1080/03610926.2019.1650183 |
DatabaseName | CrossRef Computer and Information Systems Abstracts Mechanical & Transportation Engineering Abstracts Technology Research Database Engineering Research Database ProQuest Computer Science Collection Civil Engineering Abstracts Advanced Technologies Database with Aerospace Computer and Information Systems Abstracts Academic Computer and Information Systems Abstracts Professional |
DatabaseTitle | CrossRef Civil Engineering Abstracts Technology Research Database Computer and Information Systems Abstracts – Academic Mechanical & Transportation Engineering Abstracts ProQuest Computer Science Collection Computer and Information Systems Abstracts Engineering Research Database Advanced Technologies Database with Aerospace Computer and Information Systems Abstracts Professional |
DatabaseTitleList | Civil Engineering Abstracts |
DeliveryMethod | fulltext_linktorsrc |
Discipline | Statistics Mathematics |
EISSN | 1532-415X |
EndPage | 1273 |
ExternalDocumentID | 10_1080_03610926_2019_1650183 1650183 |
Genre | Original Articles |
GrantInformation_xml | – fundername: Cultivating Project of National Natural Science Foundation grantid: 5723 – fundername: Key Project of Kaili University of China grantid: Z1505 – fundername: Guizhou Provincial Science and Technology Foundation grantid: 1286 – fundername: QianKeHe talent-development platform grantid: 5723-02 – fundername: Science and Technology Cooperation Plan Foundation of Guizhou Province of China grantid: 7167 |
GroupedDBID | -~X .7F .QJ 0BK 0R~ 29F 2DF 30N 3YN 4.4 5GY 5VS 8VB AAAVI AAENE AAJMT AALDU AAMIU AAPUL AAQRR ABBKH ABCCY ABEHJ ABFIM ABHAV ABJVF ABLIJ ABPEM ABQHQ ABTAI ABXUL ACGEJ ACGFS ACIWK ACTIO ADCVX ADGTB ADXPE AEGYZ AEISY AEOZL AEPSL AEYOC AFKVX AFOLD AFWLO AGDLA AGMYJ AHDLD AIJEM AIRXU AJWEG AKBVH AKOOK ALMA_UNASSIGNED_HOLDINGS ALQZU AQRUH AVBZW AWYRJ BLEHA CCCUG CE4 CS3 DGEBU DKSSO EBS E~A E~B F5P FUNRP FVPDL GTTXZ HF~ HZ~ H~P IPNFZ J.P KYCEM LJTGL M4Z NA5 NY~ O9- QWB RIG RNANH ROSJB RTWRZ S-T SNACF TEJ TFL TFT TFW TN5 TTHFI TWF TWZ UPT UT5 UU3 V1K WH7 ZGOLN ZL0 ~02 ~S~ AAYXX ABJNI ABPAQ ABXYU CITATION H13 K1G TBQAZ TDBHL TUROJ 7SC 7TB 8FD FR3 JQ2 KR7 L7M L~C L~D |
ID | FETCH-LOGICAL-c286t-bf09a6a11512564b7ab2416cd95fc6e1698889459c62468a10340e3b58bca4fb3 |
ISSN | 0361-0926 |
IngestDate | Thu Oct 10 21:56:47 EDT 2024 Fri Aug 23 03:43:02 EDT 2024 Tue Jun 13 19:50:19 EDT 2023 |
IsPeerReviewed | true |
IsScholarly | true |
Issue | 5 |
Language | English |
LinkModel | OpenURL |
MergedId | FETCHMERGED-LOGICAL-c286t-bf09a6a11512564b7ab2416cd95fc6e1698889459c62468a10340e3b58bca4fb3 |
PQID | 2488059991 |
PQPubID | 186202 |
PageCount | 24 |
ParticipantIDs | crossref_primary_10_1080_03610926_2019_1650183 informaworld_taylorfrancis_310_1080_03610926_2019_1650183 proquest_journals_2488059991 |
PublicationCentury | 2000 |
PublicationDate | 2021-03-04 |
PublicationDateYYYYMMDD | 2021-03-04 |
PublicationDate_xml | – month: 03 year: 2021 text: 2021-03-04 day: 04 |
PublicationDecade | 2020 |
PublicationPlace | Philadelphia |
PublicationPlace_xml | – name: Philadelphia |
PublicationTitle | Communications in statistics. Theory and methods |
PublicationYear | 2021 |
Publisher | Taylor & Francis Taylor & Francis Ltd |
Publisher_xml | – name: Taylor & Francis – name: Taylor & Francis Ltd |
References | CIT0030 CIT0010 CIT0032 CIT0031 CIT0012 CIT0034 CIT0011 CIT0033 CIT0014 CIT0036 CIT0013 CIT0035 CIT0016 CIT0038 CIT0015 Mancini C. (CIT0027) 2001; 64 CIT0037 CIT0018 CIT0039 CIT0019 CIT0040 CIT0021 CIT0020 CIT0001 CIT0023 CIT0022 Fan J. (CIT0017) 2003; 13 CIT0003 CIT0025 CIT0002 CIT0024 CIT0005 CIT0004 CIT0026 CIT0007 CIT0029 CIT0006 CIT0028 CIT0009 CIT0008 |
References_xml | – ident: CIT0011 doi: 10.1080/10485252.2013.844805 – ident: CIT0006 doi: 10.1093/jjfinec/nbi022 – ident: CIT0040 doi: 10.1111/jtsa.12082 – ident: CIT0012 doi: 10.1016/S0304-405X(03)00207-1 – ident: CIT0004 doi: 10.1016/S0304-4076(03)00110-6 – ident: CIT0034 doi: 10.1017/S026646660808047X – ident: CIT0005 doi: 10.1093/jjfinec/nbh001 – ident: CIT0021 doi: 10.1093/rfs/hhh006 – ident: CIT0001 doi: 10.2307/2171860 – ident: CIT0024 doi: 10.1111/j.1540-6321.2004.00632.x – ident: CIT0026 doi: 10.1017/S0266466609090616 – ident: CIT0038 doi: 10.2307/2329471 – ident: CIT0003 doi: 10.1111/1468-0262.00395 – ident: CIT0013 doi: 10.1214/088342305000000412 – ident: CIT0016 doi: 10.1198/016214503388619157 – ident: CIT0029 doi: 10.1007/s00780-015-0255-1 – ident: CIT0032 doi: 10.1017/S0266466603195035 – ident: CIT0033 doi: 10.1093/biomet/ass034 – ident: CIT0030 doi: 10.1371/journal.pone.0139041 – ident: CIT0025 doi: 10.1007/s10203-013-0150-1 – ident: CIT0007 doi: 10.1007/978-3-540-74448-1 – ident: CIT0019 doi: 10.2307/3214513 – ident: CIT0010 doi: 10.1016/j.ecosta.2016.07.002 – ident: CIT0028 doi: 10.1111/j.1467-9469.2008.00622.x – ident: CIT0015 doi: 10.1007/978-0-387-69395-8 – ident: CIT0031 doi: 10.1016/j.jeconom.2010.03.019 – ident: CIT0018 doi: 10.1080/02331888.2013.828058 – ident: CIT0035 doi: 10.1007/s11203-012-9072-8 – volume: 64 start-page: 44 issue: 19 year: 2001 ident: CIT0027 publication-title: Giornale dellIstituto Italiano Degli Attuari contributor: fullname: Mancini C. – ident: CIT0008 doi: 10.1016/j.jeconom.2010.07.008 – ident: CIT0023 doi: 10.1111/1467-9469.00180 – ident: CIT0014 doi: 10.1198/016214507000000176 – ident: CIT0037 doi: 10.1007/s40953-018-0129-4 – ident: CIT0002 doi: 10.1093/jjfinec/nbj007 – ident: CIT0022 doi: 10.1016/j.csda.2011.10.004 – ident: CIT0039 doi: 10.1016/j.jempfin.2015.05.001 – ident: CIT0020 doi: 10.1016/j.jeconom.2018.09.011 – ident: CIT0036 doi: 10.1016/j.spa.2013.09.012 – volume: 13 start-page: 965 issue: 4 year: 2003 ident: CIT0017 publication-title: Statistica Sinica contributor: fullname: Fan J. – ident: CIT0009 doi: 10.2307/1911242 |
SSID | ssj0015783 |
Score | 2.281309 |
Snippet | In this paper, we propose a nonparametric procedure to estimate the volatility when the underlying price process is governed by Brownian semimartingale with... |
SourceID | proquest crossref informaworld |
SourceType | Aggregation Database Publisher |
StartPage | 1250 |
SubjectTerms | Domains dynamic integration short interest rate state domain time domain Volatility Volatility estimation |
Title | Jump-robust volatility estimation using dynamic dual-domain integration method |
URI | https://www.tandfonline.com/doi/abs/10.1080/03610926.2019.1650183 https://www.proquest.com/docview/2488059991 |
Volume | 50 |
hasFullText | 1 |
inHoldings | 1 |
isFullTextHit | |
isPrint | |
link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV1Lb9QwELagXMoBQQFRWlAO3FZexc_ExwoBVaXuha20e4psbyJxIEHd5MKvZ_xI4tVW4nWJIuexK8_nmfFk5huEPjRMs8buLC50ITAnRmADZhKL2nLNitw0Pg55u5LXd_xmIzZzKq-vLunN0v58sK7kX6QKYyBXVyX7F5KdXgoDcA7yhSNIGI5_JOMbkAW-78yw7xegZmDUO9WOOCNUJC4GHwrYhbbzC1d3hXfdd_2tnXgi3F2hjXTqpx7UjfiUWVd5FEidl7Gg3393CI9OjvnWx0c3A_4ydElM2sdjt7rF2y5ayhhooCHTag40ro96fiSqikm4XdFIaj2qUgrCF5tU1waS2YgpkShO8LPyxAgTGhqcHCn4mBHJHEs8dSkmRC2JdKyEbLZoU55hvPIYPaGgh5wCZPlq-sgEyip0z45_fizwctTrD_3AgetyQGx7ZMi9d7J-jp7FbUV2FTDyAj2q2zP09Hbi5N2fodOvkwRfolUCnWyGTjZDJ_PQySJ0sgQ6WQKdLMj_Fbr7_Gn98RrH1hrY0lL2GJag0lIT5-8JyU2hDbhy0u6UaKysiVRlWSoulJWUy1KTnPG8ZkaUxmreGPYanbRdW79BWcNhx6yMynnNubTEyAJshNa0lkLVhThHy3HWqh-BQaUiIzFtnObKTXMVp_kcqXRuq94DrwmYq9hvnr0cBVHFhbqvqDNSwu2E3v7Hqy_Q6bwqLtFJfz_U78Ah7c17D6tfFhOGNw |
link.rule.ids | 315,783,787,27936,27937,60214,61003 |
linkProvider | Taylor & Francis |
linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV07T8MwED7xGICBN6I8M7C6xInt1CNCoAJtJ5DYLNt1EEJNUZsO8OvxxQkqIMTAnMRKfOfzd8533wGc5alOczu0JNMZJ4waTozfJgl3luk0i01enUP2B6L7wG4f-eNcLQzSKjGHzoNQRBWrcXHjYXRDiTv3UZfGMkGGAZVtKlCULl2EZYECYFjGEQ8-_yR4jwwtkoVPm_0zTRXPb8N82Z--qJf-iNbVFnS9AbZ5-cA8eWnPStO27990Hf_3dZuwXiPU6CK41BYsuGIb1vqf8q7TbVhFiBoUnndgcOs9gkzGZjYtIx_s_BWE9hHKd4S6yAjJ9U_R8K3Qo2cbYfUXGY5H-rmIGrUKvCs0s96Fh-ur-8suqbs0EJt0REm8NaUWmiJ04IKZTBuPCoQdSp5b4aiQPsmWjEsrEiY6msYpi11qeMdYzXKT7sFSMS7cPkQ588mXNDJmzmeplhqR-XCjdeIEly7jLWg3tlGvQYxD0UbjtJ41hbOm6llrgZy3oCqrU5A8tCxR6R_PHjXmVvW6nqoE4x1HUH3wj6FPYaV73--p3s3g7hBWE6TJIK2NHcFSOZm5Y49zSnNSOfIHrVHvMg |
linkToPdf | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV1LT9wwEB7RRaroobxadYG2OXD1EsePrI8VsKJQVhxA6s2yHRuhiixiswf49XjiBPEQ6oFrEluJZzz-xvn8DcBuYIYFVzlSmlIQTq0gNi6TRHjHDStzG9p9yNOpPLrgx39Fzyacd7RKzKFDEopoYzVO7psq9Iy4vRh0aa4KJBhQNaISNenYB1iOV3N0dZZPH38kRIdMFZJlzJpjm_4Qz1vdPFuenomXvgrW7Qo0WQXbv3sinvwbLRo7cvcvZB3f9XFr8LnDp9mv5FDrsOTrDfh0-ijuOt-AFQSoSd95E6bH0R_I7cwu5k0WQ128g8A-Q_GOdCoyQ2r9ZVbd1eb6ymV49otUs2tzVWe9VgU-lUpZf4GLyeH5_hHpajQQV4xlQ6ItlZGGInAQktvS2IgJpKuUCE56KlVMsRUXysmCy7GhOeO5Z1aMrTM8WPYVBvWs9t8gCzymXsqqnPuYozpqZRmDjTGFl0L5Ugxh1JtG3yQpDk17hdNu1DSOmu5GbQjqqQF10-6BhFSwRLP_tN3pra27WT3XBUY7gZB66x1d_4SPZwcT_ef39GQbVgrkyCCnje_AoLld-O8R5DT2R-vGD9oT7d8 |
openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Jump-robust+volatility+estimation+using+dynamic+dual-domain+integration+method&rft.jtitle=Communications+in+statistics.+Theory+and+methods&rft.au=Ye%2C+Xu-Guo&rft.au=Zhao%2C+Yan-Yong&rft.date=2021-03-04&rft.pub=Taylor+%26+Francis&rft.issn=0361-0926&rft.eissn=1532-415X&rft.volume=50&rft.issue=5&rft.spage=1250&rft.epage=1273&rft_id=info:doi/10.1080%2F03610926.2019.1650183&rft.externalDocID=1650183 |
thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0361-0926&client=summon |
thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0361-0926&client=summon |
thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0361-0926&client=summon |