Do risk-neutral moments incorporate forward-looking information?

“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 thes...

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Main Authors: Chan, Weng San, Loo, Samantha Kate Su Lyn, Lee, Jamie Yee Jia
Other Authors: Low Chan Kee
Format: Final Year Project
Language:English
Published: 2014
Subjects:
Online Access:http://hdl.handle.net/10356/59308
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-593082019-12-10T12:23:14Z Do risk-neutral moments incorporate forward-looking information? Chan, Weng San Loo, Samantha Kate Su Lyn Lee, Jamie Yee Jia Low Chan Kee School of Humanities and Social Sciences DRNTU::Social sciences::Statistics DRNTU::Business::Finance::Options “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. Bachelor of Arts 2014-04-29T07:38:33Z 2014-04-29T07:38:33Z 2014 2014 Final Year Project (FYP) http://hdl.handle.net/10356/59308 en Nanyang Technological University 71 p application/pdf
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
topic DRNTU::Social sciences::Statistics
DRNTU::Business::Finance::Options
spellingShingle DRNTU::Social sciences::Statistics
DRNTU::Business::Finance::Options
Chan, Weng San
Loo, Samantha Kate Su Lyn
Lee, Jamie Yee Jia
Do risk-neutral moments incorporate forward-looking information?
description “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.
author2 Low Chan Kee
author_facet Low Chan Kee
Chan, Weng San
Loo, Samantha Kate Su Lyn
Lee, Jamie Yee Jia
format Final Year Project
author Chan, Weng San
Loo, Samantha Kate Su Lyn
Lee, Jamie Yee Jia
author_sort Chan, Weng San
title Do risk-neutral moments incorporate forward-looking information?
title_short Do risk-neutral moments incorporate forward-looking information?
title_full Do risk-neutral moments incorporate forward-looking information?
title_fullStr Do risk-neutral moments incorporate forward-looking information?
title_full_unstemmed Do risk-neutral moments incorporate forward-looking information?
title_sort do risk-neutral moments incorporate forward-looking information?
publishDate 2014
url http://hdl.handle.net/10356/59308
_version_ 1681036273570021376