Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/59308
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dc.contributor.authorChan, Weng San
dc.contributor.authorLoo, Samantha Kate Su Lyn
dc.contributor.authorLee, Jamie Yee Jia
dc.date.accessioned2014-04-29T07:38:33Z
dc.date.available2014-04-29T07:38:33Z
dc.date.copyright2014en_US
dc.date.issued2014
dc.identifier.urihttp://hdl.handle.net/10356/59308
dc.description.abstract“Stocks are bought on expectations, not facts.” -Gerald M. Loeb The stock market is constantly experiencing fluctuation, with prices moving every second. To the general public, these stock prices are reflections of the company’s intrinsic values and its fundamentals. However, we believe that these numbers are no mere values; instead, they carry an underlying model which encompasses information about market expectations. It is believed that these prices may have predictive power over future prices. In our study, we extracted this forward-looking information from the US option prices using the Black-Scholes Model. We performed tests to determine correlations between the parameters that define the implied volatility that is embedded in the option prices. Then we estimated a multivariate time series model to define the underlying relationship between risk neutral moments and the returns from stock options.en_US
dc.format.extent71 pen_US
dc.language.isoenen_US
dc.rightsNanyang Technological University
dc.subjectDRNTU::Social sciences::Statisticsen_US
dc.subjectDRNTU::Business::Finance::Optionsen_US
dc.titleDo risk-neutral moments incorporate forward-looking information?en_US
dc.typeFinal Year Project (FYP)en_US
dc.contributor.supervisorLow Chan Keeen_US
dc.contributor.schoolSchool of Humanities and Social Sciencesen_US
dc.description.degreeBachelor of Artsen_US
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Appears in Collections:HSS Student Reports (FYP/IA/PA/PI)
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