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Implied Volatility in MMGBM model

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dc.contributor.advisor GOSWAMI, ANINDYA en_US
dc.contributor.author N S, SANJAY en_US
dc.date.accessioned 2019-05-03T03:28:16Z
dc.date.available 2019-05-03T03:28:16Z
dc.date.issued 2019-04 en_US
dc.identifier.uri http://dr.iiserpune.ac.in:8080/xmlui/handle/123456789/2896
dc.description.abstract A typical realistic market even if follows a switching GBM, the switching dynamics is in principle unobserved. However, the market price of an option which is a result of bid and ask of a large community may perhaps reflect the accurate state due to the collective knowledge/perception of traders. If that happens, then our computational study shows that it is possible to extract that state information by computing the implied volatility(IV) of at-the-money options. We have also studied the behaviour of IV with respect to time to maturity and also showed that MMGBM model can capture volatility smile for a wide range of market parameters. en_US
dc.language.iso en en_US
dc.subject 2019
dc.subject Mathematical Finance en_US
dc.title Implied Volatility in MMGBM model en_US
dc.type Thesis en_US
dc.type.degree BS-MS en_US
dc.contributor.department Interdisciplinary en_US
dc.contributor.registration 20141138 en_US


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  • MS THESES [1705]
    Thesis submitted to IISER Pune in partial fulfilment of the requirements for the BS-MS Dual Degree Programme/MSc. Programme/MS-Exit Programme

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