Loading…
Transmission effect of extreme risks in China's financial sectors at major emergencies: Empirical study based on the GPD-CAViaR and TVP-SV-VAR approach
Major emergencies cause massive financial risk and economic loss. In the context of major emergencies, we propose the GPD-CAViaR model to depict the extreme risks of financial sectors, and utilize the TVP-SV-VAR model to analyze their transmission effect. We find that (ⅰ) the securities sector has t...
Saved in:
Published in: | Electronic research archive 2022, Vol.30 (12), p.4657-4673 |
---|---|
Main Authors: | , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | cdi_FETCH-LOGICAL-c2516-fe33ec4ff215b972a4636284857aa453228651a5bb6d8b4885bcfa164e29f4013 |
---|---|
cites | cdi_FETCH-LOGICAL-c2516-fe33ec4ff215b972a4636284857aa453228651a5bb6d8b4885bcfa164e29f4013 |
container_end_page | 4673 |
container_issue | 12 |
container_start_page | 4657 |
container_title | Electronic research archive |
container_volume | 30 |
creator | Mo, Tingcheng Xie, Chi Li, Kelong Ouyang, Yingbo Zeng, Zhijian |
description | Major emergencies cause massive financial risk and economic loss. In the context of major emergencies, we propose the GPD-CAViaR model to depict the extreme risks of financial sectors, and utilize the TVP-SV-VAR model to analyze their transmission effect. We find that (ⅰ) the securities sector has the highest extreme risks among the four financial sectors; (ⅱ) when major emergencies occur, the extreme risks of various financial sectors increase rapidly; (ⅲ) the transmission effect in short term is stronger than that in medium and long term; and (ⅳ) the transmission effects at different time points are relatively consistent. |
doi_str_mv | 10.3934/era.2022236 |
format | article |
fullrecord | <record><control><sourceid>doaj_cross</sourceid><recordid>TN_cdi_doaj_primary_oai_doaj_org_article_02eb1d131a7e4c4183546f54cef252c5</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><doaj_id>oai_doaj_org_article_02eb1d131a7e4c4183546f54cef252c5</doaj_id><sourcerecordid>oai_doaj_org_article_02eb1d131a7e4c4183546f54cef252c5</sourcerecordid><originalsourceid>FETCH-LOGICAL-c2516-fe33ec4ff215b972a4636284857aa453228651a5bb6d8b4885bcfa164e29f4013</originalsourceid><addsrcrecordid>eNpNkUtLw0AUhYMoKOrKP3B3LiQ6707dlfoEQdHabbiZ3LFTm0yZiWB_iX_X-EBcnfs4fGdxiuKIs1M5luqMEp4KJoSQZqvYE8bakuux2v437xaHOS8ZY8JyxpTZKz5mCbvchpxD7IC8J9dD9EDvfaKWIIX8miF0MF2EDo8z-EE6F3AFebDGlAF7aHEZEwz-9ELDk_I5XLbrkIL78vVvzQZqzNTAkNEvCK4fLsrpZB7wEbBrYDZ_KJ_m5XwyrOt1iugWB8WOx1Wmw1_dL56vLmfTm_Lu_vp2OrkrndDclJ6kJKe8F1zX45FAZaQRVlk9QlRaCmGN5qjr2jS2Vtbq2nnkRpEYe8W43C9uf7hNxGW1TqHFtKkihur7ENNLhakPbkUVE1TzhkuOI1JOcSu1Ml4rR15o4fTAOvlhuRRzTuT_eJxVXxVVQ0XVb0XyE29sg5M</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Transmission effect of extreme risks in China's financial sectors at major emergencies: Empirical study based on the GPD-CAViaR and TVP-SV-VAR approach</title><source>Alma/SFX Local Collection</source><creator>Mo, Tingcheng ; Xie, Chi ; Li, Kelong ; Ouyang, Yingbo ; Zeng, Zhijian</creator><creatorcontrib>Mo, Tingcheng ; Xie, Chi ; Li, Kelong ; Ouyang, Yingbo ; Zeng, Zhijian</creatorcontrib><description>Major emergencies cause massive financial risk and economic loss. In the context of major emergencies, we propose the GPD-CAViaR model to depict the extreme risks of financial sectors, and utilize the TVP-SV-VAR model to analyze their transmission effect. We find that (ⅰ) the securities sector has the highest extreme risks among the four financial sectors; (ⅱ) when major emergencies occur, the extreme risks of various financial sectors increase rapidly; (ⅲ) the transmission effect in short term is stronger than that in medium and long term; and (ⅳ) the transmission effects at different time points are relatively consistent.</description><identifier>ISSN: 2688-1594</identifier><identifier>EISSN: 2688-1594</identifier><identifier>DOI: 10.3934/era.2022236</identifier><language>eng</language><publisher>AIMS Press</publisher><subject>extreme risk ; financial sector ; major emergency ; transmission effect</subject><ispartof>Electronic research archive, 2022, Vol.30 (12), p.4657-4673</ispartof><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c2516-fe33ec4ff215b972a4636284857aa453228651a5bb6d8b4885bcfa164e29f4013</citedby><cites>FETCH-LOGICAL-c2516-fe33ec4ff215b972a4636284857aa453228651a5bb6d8b4885bcfa164e29f4013</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,4024,27923,27924,27925</link.rule.ids></links><search><creatorcontrib>Mo, Tingcheng</creatorcontrib><creatorcontrib>Xie, Chi</creatorcontrib><creatorcontrib>Li, Kelong</creatorcontrib><creatorcontrib>Ouyang, Yingbo</creatorcontrib><creatorcontrib>Zeng, Zhijian</creatorcontrib><title>Transmission effect of extreme risks in China's financial sectors at major emergencies: Empirical study based on the GPD-CAViaR and TVP-SV-VAR approach</title><title>Electronic research archive</title><description>Major emergencies cause massive financial risk and economic loss. In the context of major emergencies, we propose the GPD-CAViaR model to depict the extreme risks of financial sectors, and utilize the TVP-SV-VAR model to analyze their transmission effect. We find that (ⅰ) the securities sector has the highest extreme risks among the four financial sectors; (ⅱ) when major emergencies occur, the extreme risks of various financial sectors increase rapidly; (ⅲ) the transmission effect in short term is stronger than that in medium and long term; and (ⅳ) the transmission effects at different time points are relatively consistent.</description><subject>extreme risk</subject><subject>financial sector</subject><subject>major emergency</subject><subject>transmission effect</subject><issn>2688-1594</issn><issn>2688-1594</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>DOA</sourceid><recordid>eNpNkUtLw0AUhYMoKOrKP3B3LiQ6707dlfoEQdHabbiZ3LFTm0yZiWB_iX_X-EBcnfs4fGdxiuKIs1M5luqMEp4KJoSQZqvYE8bakuux2v437xaHOS8ZY8JyxpTZKz5mCbvchpxD7IC8J9dD9EDvfaKWIIX8miF0MF2EDo8z-EE6F3AFebDGlAF7aHEZEwz-9ELDk_I5XLbrkIL78vVvzQZqzNTAkNEvCK4fLsrpZB7wEbBrYDZ_KJ_m5XwyrOt1iugWB8WOx1Wmw1_dL56vLmfTm_Lu_vp2OrkrndDclJ6kJKe8F1zX45FAZaQRVlk9QlRaCmGN5qjr2jS2Vtbq2nnkRpEYe8W43C9uf7hNxGW1TqHFtKkihur7ENNLhakPbkUVE1TzhkuOI1JOcSu1Ml4rR15o4fTAOvlhuRRzTuT_eJxVXxVVQ0XVb0XyE29sg5M</recordid><startdate>2022</startdate><enddate>2022</enddate><creator>Mo, Tingcheng</creator><creator>Xie, Chi</creator><creator>Li, Kelong</creator><creator>Ouyang, Yingbo</creator><creator>Zeng, Zhijian</creator><general>AIMS Press</general><scope>AAYXX</scope><scope>CITATION</scope><scope>DOA</scope></search><sort><creationdate>2022</creationdate><title>Transmission effect of extreme risks in China's financial sectors at major emergencies: Empirical study based on the GPD-CAViaR and TVP-SV-VAR approach</title><author>Mo, Tingcheng ; Xie, Chi ; Li, Kelong ; Ouyang, Yingbo ; Zeng, Zhijian</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c2516-fe33ec4ff215b972a4636284857aa453228651a5bb6d8b4885bcfa164e29f4013</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>extreme risk</topic><topic>financial sector</topic><topic>major emergency</topic><topic>transmission effect</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Mo, Tingcheng</creatorcontrib><creatorcontrib>Xie, Chi</creatorcontrib><creatorcontrib>Li, Kelong</creatorcontrib><creatorcontrib>Ouyang, Yingbo</creatorcontrib><creatorcontrib>Zeng, Zhijian</creatorcontrib><collection>CrossRef</collection><collection>Directory of Open Access Journals (DOAJ)</collection><jtitle>Electronic research archive</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Mo, Tingcheng</au><au>Xie, Chi</au><au>Li, Kelong</au><au>Ouyang, Yingbo</au><au>Zeng, Zhijian</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Transmission effect of extreme risks in China's financial sectors at major emergencies: Empirical study based on the GPD-CAViaR and TVP-SV-VAR approach</atitle><jtitle>Electronic research archive</jtitle><date>2022</date><risdate>2022</risdate><volume>30</volume><issue>12</issue><spage>4657</spage><epage>4673</epage><pages>4657-4673</pages><issn>2688-1594</issn><eissn>2688-1594</eissn><abstract>Major emergencies cause massive financial risk and economic loss. In the context of major emergencies, we propose the GPD-CAViaR model to depict the extreme risks of financial sectors, and utilize the TVP-SV-VAR model to analyze their transmission effect. We find that (ⅰ) the securities sector has the highest extreme risks among the four financial sectors; (ⅱ) when major emergencies occur, the extreme risks of various financial sectors increase rapidly; (ⅲ) the transmission effect in short term is stronger than that in medium and long term; and (ⅳ) the transmission effects at different time points are relatively consistent.</abstract><pub>AIMS Press</pub><doi>10.3934/era.2022236</doi><tpages>17</tpages><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 2688-1594 |
ispartof | Electronic research archive, 2022, Vol.30 (12), p.4657-4673 |
issn | 2688-1594 2688-1594 |
language | eng |
recordid | cdi_doaj_primary_oai_doaj_org_article_02eb1d131a7e4c4183546f54cef252c5 |
source | Alma/SFX Local Collection |
subjects | extreme risk financial sector major emergency transmission effect |
title | Transmission effect of extreme risks in China's financial sectors at major emergencies: Empirical study based on the GPD-CAViaR and TVP-SV-VAR approach |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-01T10%3A30%3A00IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-doaj_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Transmission%20effect%20of%20extreme%20risks%20in%20China's%20financial%20sectors%20at%20major%20emergencies:%20Empirical%20study%20based%20on%20the%20GPD-CAViaR%20and%20TVP-SV-VAR%20approach&rft.jtitle=Electronic%20research%20archive&rft.au=Mo,%20Tingcheng&rft.date=2022&rft.volume=30&rft.issue=12&rft.spage=4657&rft.epage=4673&rft.pages=4657-4673&rft.issn=2688-1594&rft.eissn=2688-1594&rft_id=info:doi/10.3934/era.2022236&rft_dat=%3Cdoaj_cross%3Eoai_doaj_org_article_02eb1d131a7e4c4183546f54cef252c5%3C/doaj_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c2516-fe33ec4ff215b972a4636284857aa453228651a5bb6d8b4885bcfa164e29f4013%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true |