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 |