Please use this identifier to cite or link to this item: https://repository.iimb.ac.in/handle/2074/19111
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dc.contributor.advisorSen, Anindya
dc.contributor.authorGupta, Manish
dc.contributor.authorSrivastava, Soumil
dc.date.accessioned2021-05-17T09:48:04Z-
dc.date.available2021-05-17T09:48:04Z-
dc.date.issued2012
dc.identifier.urihttps://repository.iimb.ac.in/handle/2074/19111-
dc.description.abstractIn recent times the study of volatility has grown very important. The current economic scenario shows most of the stock markets and financial instruments under stress due to the strong linkages between stock, currencies, commodities and derivatives. Most of the market participants, regulators and other researchers have take an active interest in this field. A lot of studies have been conducted to predict volatility and measures to manage and forecasts risks. Participants are increasingly coming up with volatility related products like variance swaps and volatility linked instruments to tap this field. A good measure to predicting volatility could go a long way in predicting insight into these products and increase their attractiveness. Through this study, we aim to develop an understanding of the past volatility prediction and forecasting methods. We would also aim to understand the importance of this indicator and find applications of artificial intelligence techniques in estimating it in Indian stock markets.
dc.publisherIndian Institute of Management Bangalore
dc.relation.ispartofseriesPGP_CCS_P12_228
dc.subjectVolatility prediction techniques
dc.subjectStock markets
dc.subjectFinancial instruments
dc.titleA study of volatility prediction techniques and an anlysis of their performance
dc.typeCCS Project Report-PGP
dc.pages13p.
dc.identifier.accessionE38330
Appears in Collections:2012
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