Pricing American Options with Stochastic Volatility: Evidence from S&P 500 Futures Options

This article tests empirically a numerical solution to price American options under stochastic volatility. The model allows for a mean-reverting stochastic-volatility process with non-zero risk premium for the volatility risk and correlation with the underlying process. A general solution of risk-ne...

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Main Authors: Lim, Kian Guan, Guo, X. Q.
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Language:English
Published: Institutional Knowledge at Singapore Management University 2000
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Online Access:https://ink.library.smu.edu.sg/lkcsb_research/2131
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spelling sg-smu-ink.lkcsb_research-31302010-09-23T12:30:04Z Pricing American Options with Stochastic Volatility: Evidence from S&P 500 Futures Options Lim, Kian Guan Guo, X. Q. This article tests empirically a numerical solution to price American options under stochastic volatility. The model allows for a mean-reverting stochastic-volatility process with non-zero risk premium for the volatility risk and correlation with the underlying process. A general solution of risk-neutral probabilities and price movements is derived. The empirical test shows clear evidence supporting the occurrence of stochastic volatility. The stochastic-volatility model outperforms the constant-volatility model by producing smaller bias and better goodness of fit in both the in-sample and out-of-sample test 2000-01-01T08:00:00Z text https://ink.library.smu.edu.sg/lkcsb_research/2131 info:doi/10.1002/1096-9934(200008)20:7<625::AID-FUT2>3.0.CO;2-M https://proquest.umi.com/pqdlink?did=57654421&amp;sid=15&amp;Fmt=3&amp;clientId=44274&amp;RQT=309&amp;VName=PQD Research Collection Lee Kong Chian School Of Business eng Institutional Knowledge at Singapore Management University Business
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Business
spellingShingle Business
Lim, Kian Guan
Guo, X. Q.
Pricing American Options with Stochastic Volatility: Evidence from S&P 500 Futures Options
description This article tests empirically a numerical solution to price American options under stochastic volatility. The model allows for a mean-reverting stochastic-volatility process with non-zero risk premium for the volatility risk and correlation with the underlying process. A general solution of risk-neutral probabilities and price movements is derived. The empirical test shows clear evidence supporting the occurrence of stochastic volatility. The stochastic-volatility model outperforms the constant-volatility model by producing smaller bias and better goodness of fit in both the in-sample and out-of-sample test
format text
author Lim, Kian Guan
Guo, X. Q.
author_facet Lim, Kian Guan
Guo, X. Q.
author_sort Lim, Kian Guan
title Pricing American Options with Stochastic Volatility: Evidence from S&P 500 Futures Options
title_short Pricing American Options with Stochastic Volatility: Evidence from S&P 500 Futures Options
title_full Pricing American Options with Stochastic Volatility: Evidence from S&P 500 Futures Options
title_fullStr Pricing American Options with Stochastic Volatility: Evidence from S&P 500 Futures Options
title_full_unstemmed Pricing American Options with Stochastic Volatility: Evidence from S&P 500 Futures Options
title_sort pricing american options with stochastic volatility: evidence from s&p 500 futures options
publisher Institutional Knowledge at Singapore Management University
publishDate 2000
url https://ink.library.smu.edu.sg/lkcsb_research/2131
https://proquest.umi.com/pqdlink?did=57654421&amp;sid=15&amp;Fmt=3&amp;clientId=44274&amp;RQT=309&amp;VName=PQD
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