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VIX futures and its closed‐form pricing through an affine GARCH model with realized variance
This paper studies the forecasting of volatility index (VIX) and the pricing of its futures by a generalized affine realized volatility model proposed by Christoffersen et al. This model is a weighted average of a GARCH and a pure realized variance (RV) model that incorporates each volatility compon...
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Published in: | The journal of futures markets 2021-01, Vol.41 (1), p.135-156 |
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container_end_page | 156 |
container_issue | 1 |
container_start_page | 135 |
container_title | The journal of futures markets |
container_volume | 41 |
creator | Wang, Qi Wang, Zerong |
description | This paper studies the forecasting of volatility index (VIX) and the pricing of its futures by a generalized affine realized volatility model proposed by Christoffersen et al. This model is a weighted average of a GARCH and a pure realized variance (RV) model that incorporates each volatility component into the new dynamics. We rewrite the VIX in terms of both volatility components and then derive closed‐form formulas for the VIX forecasting and its futures pricing. Our empirical studies find that a unification of the GARCH and the RV in the modeling substantially improves the forecasting of this index and the pricing of its futures. |
doi_str_mv | 10.1002/fut.22159 |
format | article |
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This model is a weighted average of a GARCH and a pure realized variance (RV) model that incorporates each volatility component into the new dynamics. We rewrite the VIX in terms of both volatility components and then derive closed‐form formulas for the VIX forecasting and its futures pricing. Our empirical studies find that a unification of the GARCH and the RV in the modeling substantially improves the forecasting of this index and the pricing of its futures.</description><subject>Analysis</subject><subject>Forecasting</subject><subject>Futures</subject><subject>Pricing</subject><subject>realized volatility</subject><subject>Stochastic models</subject><subject>VIX futures pricing</subject><subject>Volatility</subject><subject>volatility extraction</subject><issn>0270-7314</issn><issn>1096-9934</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>8BJ</sourceid><recordid>eNp10M1KxDAQwPEgCq4fB98gIAgeuk7SNG2Oy-LqgiCIiidDNp3sRrqtJq1fJx_BZ_RJrNarp7n8Zgb-hBwwGDMAfuK6dsw5y9QGGTFQMlEqFZtkBDyHJE-Z2CY7MT4AgFICRuT-dn5H-6UuYKSmLqlvI7VVE7H8-vh0TVjTx-Ctr5e0XYWmW656RY1zvkZ6NrmantN1U2JFX3y7ogFN5d-xpM8meFNb3CNbzlQR9__mLrmZnV5Pz5OLy7P5dHKR2FQylVhQkOdcAF_kAJKjAeNKm6Wlk4ZLKzMh1MJaKSF1iAvpLCycQKccL7LCprvkcLj7GJqnDmOrH5ou1P1LzYVUqihyYL06GtTSVKh9bZu6xdd2aboYtZ5IkTGeprLo4fEAbWhiDOh0H2FtwptmoH866z6Z_u3c25PBvvgK3_6HenZzPWx8A4J5fzw</recordid><startdate>202101</startdate><enddate>202101</enddate><creator>Wang, Qi</creator><creator>Wang, Zerong</creator><general>John Wiley & Sons, Inc</general><general>Wiley Periodicals Inc</general><scope>AAYXX</scope><scope>CITATION</scope><scope>8BJ</scope><scope>FQK</scope><scope>JBE</scope><orcidid>https://orcid.org/0000-0003-2612-8224</orcidid></search><sort><creationdate>202101</creationdate><title>VIX futures and its closed‐form pricing through an affine GARCH model with realized variance</title><author>Wang, Qi ; Wang, Zerong</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3619-c090772402b70062ea0afdc53df6a26c65449bcc6603feeb6fc0bf4ef9f2858c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Analysis</topic><topic>Forecasting</topic><topic>Futures</topic><topic>Pricing</topic><topic>realized volatility</topic><topic>Stochastic models</topic><topic>VIX futures pricing</topic><topic>Volatility</topic><topic>volatility extraction</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wang, Qi</creatorcontrib><creatorcontrib>Wang, Zerong</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 journal of futures markets</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wang, Qi</au><au>Wang, Zerong</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>VIX futures and its closed‐form pricing through an affine GARCH model with realized variance</atitle><jtitle>The journal of futures markets</jtitle><date>2021-01</date><risdate>2021</risdate><volume>41</volume><issue>1</issue><spage>135</spage><epage>156</epage><pages>135-156</pages><issn>0270-7314</issn><eissn>1096-9934</eissn><abstract>This paper studies the forecasting of volatility index (VIX) and the pricing of its futures by a generalized affine realized volatility model proposed by Christoffersen et al. This model is a weighted average of a GARCH and a pure realized variance (RV) model that incorporates each volatility component into the new dynamics. We rewrite the VIX in terms of both volatility components and then derive closed‐form formulas for the VIX forecasting and its futures pricing. Our empirical studies find that a unification of the GARCH and the RV in the modeling substantially improves the forecasting of this index and the pricing of its futures.</abstract><cop>Hoboken</cop><pub>John Wiley & Sons, Inc</pub><doi>10.1002/fut.22159</doi><tpages>22</tpages><orcidid>https://orcid.org/0000-0003-2612-8224</orcidid></addata></record> |
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source | International Bibliography of the Social Sciences (IBSS); Business Source Ultimate; Wiley |
subjects | Analysis Forecasting Futures Pricing realized volatility Stochastic models VIX futures pricing Volatility volatility extraction |
title | VIX futures and its closed‐form pricing through an affine GARCH model with realized variance |
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