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Modeling moneyness volatility in measuring exchange rate volatility
The implied volatility (IV) is widely believed to be the best measure of exchange rate volatility. Despite its widespread usage, the IV approach suffers from an obvious chicken-egg problem: obtaining an unbiased IV requires the options to be priced correctly and calculating option prices accurately...
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description | The implied volatility (IV) is widely believed to be the best measure of exchange rate volatility. Despite its widespread usage, the IV approach suffers from an obvious chicken-egg problem: obtaining an unbiased IV requires the options to be priced correctly and calculating option prices accurately requires an unbiased IV. We contribute to this literature by developing a new model for exchange rate volatility which we term as the "moneyness volatility (MV)". Besides eliminating the chicken-egg problem of IV, the MV approach outperforms the IV in forecasting ability in both in-sample and out-of-sample tests. The F-test, Granger-Newbold test and Diebold-Mariano test results consistently reveal that MV outperforms IV in estimating as well as forecasting exchange rate volatility. Furthermore, test results reveal that our approach works well for the six major currency options. Our pioneering approach in modeling exchange rate volatility has far-reaching implications for academicians, professional traders and risk managers. |
doi_str_mv | 10.1109/CIFER.2011.5953555 |
format | conference_proceeding |
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Despite its widespread usage, the IV approach suffers from an obvious chicken-egg problem: obtaining an unbiased IV requires the options to be priced correctly and calculating option prices accurately requires an unbiased IV. We contribute to this literature by developing a new model for exchange rate volatility which we term as the "moneyness volatility (MV)". Besides eliminating the chicken-egg problem of IV, the MV approach outperforms the IV in forecasting ability in both in-sample and out-of-sample tests. The F-test, Granger-Newbold test and Diebold-Mariano test results consistently reveal that MV outperforms IV in estimating as well as forecasting exchange rate volatility. Furthermore, test results reveal that our approach works well for the six major currency options. 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Our pioneering approach in modeling exchange rate volatility has far-reaching implications for academicians, professional traders and risk managers.</description><subject>Asynchronous transfer mode</subject><subject>Design automation</subject><subject>Diebold-Mariano test</subject><subject>Equations</subject><subject>Exchange rates</subject><subject>Forecasting</subject><subject>Granger-Newbold test</subject><subject>Implied volatility</subject><subject>Mathematical model</subject><subject>moneyness volatility</subject><subject>Pricing</subject><subject>realized volatility</subject><issn>2380-8454</issn><isbn>142449933X</isbn><isbn>9781424499335</isbn><isbn>1424499348</isbn><isbn>1424499321</isbn><isbn>9781424499342</isbn><isbn>9781424499328</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2011</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNpNkM1Kw0AURkdUsNa-gG7mBRLnZn6au5TQaqEiiIK7cpO5qSP5kUwU8_YiFnR1-ODwLY4Ql6BSAIXXxWa9ekwzBZBatNpaeyTOwWTGIGqTH_8N_XIiZpnOVZIba87EIsY3pZSG5TK3biaK-95zE7q9bPuOp45jlJ99Q2NowjjJ0MmWKX4MPwZ_Va_U7VkONPI_60Kc1tREXhw4F8_r1VNxl2wfbjfFzTYJoI1NNJKrqUamuiKLCn2FbJxyCOwZHZRUQl2yd8QOPSEgewvkM48KPOm5uPr9Dcy8ex9CS8O0OwTQ36OiT5s</recordid><startdate>201104</startdate><enddate>201104</enddate><creator>Hoque, A.</creator><creator>Krishnamurti, C.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201104</creationdate><title>Modeling moneyness volatility in measuring exchange rate volatility</title><author>Hoque, A. ; Krishnamurti, C.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i1345-39a6faf9eafca5909dc9e460691ede961bab1fbed6ae69da919ed51ad2d901da3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Asynchronous transfer mode</topic><topic>Design automation</topic><topic>Diebold-Mariano test</topic><topic>Equations</topic><topic>Exchange rates</topic><topic>Forecasting</topic><topic>Granger-Newbold test</topic><topic>Implied volatility</topic><topic>Mathematical model</topic><topic>moneyness volatility</topic><topic>Pricing</topic><topic>realized volatility</topic><toplevel>online_resources</toplevel><creatorcontrib>Hoque, A.</creatorcontrib><creatorcontrib>Krishnamurti, C.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE/IET Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Hoque, A.</au><au>Krishnamurti, C.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Modeling moneyness volatility in measuring exchange rate volatility</atitle><btitle>2011 IEEE Symposium on Computational Intelligence for Financial Engineering and Economics (CIFEr)</btitle><stitle>CIFER</stitle><date>2011-04</date><risdate>2011</risdate><spage>1</spage><epage>6</epage><pages>1-6</pages><issn>2380-8454</issn><isbn>142449933X</isbn><isbn>9781424499335</isbn><eisbn>1424499348</eisbn><eisbn>1424499321</eisbn><eisbn>9781424499342</eisbn><eisbn>9781424499328</eisbn><abstract>The implied volatility (IV) is widely believed to be the best measure of exchange rate volatility. Despite its widespread usage, the IV approach suffers from an obvious chicken-egg problem: obtaining an unbiased IV requires the options to be priced correctly and calculating option prices accurately requires an unbiased IV. We contribute to this literature by developing a new model for exchange rate volatility which we term as the "moneyness volatility (MV)". Besides eliminating the chicken-egg problem of IV, the MV approach outperforms the IV in forecasting ability in both in-sample and out-of-sample tests. The F-test, Granger-Newbold test and Diebold-Mariano test results consistently reveal that MV outperforms IV in estimating as well as forecasting exchange rate volatility. Furthermore, test results reveal that our approach works well for the six major currency options. Our pioneering approach in modeling exchange rate volatility has far-reaching implications for academicians, professional traders and risk managers.</abstract><pub>IEEE</pub><doi>10.1109/CIFER.2011.5953555</doi><tpages>6</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Asynchronous transfer mode Design automation Diebold-Mariano test Equations Exchange rates Forecasting Granger-Newbold test Implied volatility Mathematical model moneyness volatility Pricing realized volatility |
title | Modeling moneyness volatility in measuring exchange rate volatility |
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