Implied volatility forecasting in the options market: a survey

Implied volatility is regarded as one of the most important variables for determining profitability in options trading. Implied volatility gives indication about the future volatility of the underlying asset and can be used to predict the degree to which the asset price might swing and thus whether...

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Main Author: Mohamad, Azhar
Format: Article
Language:English
Published: Penerbit UTM Press 2016
Subjects:
Online Access:http://irep.iium.edu.my/50540/
http://irep.iium.edu.my/50540/
http://irep.iium.edu.my/50540/1/Implied_Volatility_-_Published_in_Sains_Humanika.pdf
id iium-50540
recordtype eprints
spelling iium-505402017-10-16T02:42:06Z http://irep.iium.edu.my/50540/ Implied volatility forecasting in the options market: a survey Mohamad, Azhar HG4501 Stocks, investment, speculation Implied volatility is regarded as one of the most important variables for determining profitability in options trading. Implied volatility gives indication about the future volatility of the underlying asset and can be used to predict the degree to which the asset price might swing and thus whether the options could become profitable before expiration. Volatility forecasting can be grouped into two main categories namely option-implied volatility and historical time-series models. There is an academic debate as to which of the two methods has stronger predictive power. In this paper, we provide a review of options-implied volatility forecasting studies. This survey of the literature suggests there is no consensus to indicate that the implied volatility has stronger predictive power than historical time series in forecasting realized volatility. Penerbit UTM Press 2016-04 Article PeerReviewed application/pdf en http://irep.iium.edu.my/50540/1/Implied_Volatility_-_Published_in_Sains_Humanika.pdf Mohamad, Azhar (2016) Implied volatility forecasting in the options market: a survey. Sains Humanika, 8 (2). pp. 9-18. ISSN 2289-6996 http://www.sainshumanika.utm.my/index.php/sainshumanika/article/view/721/574
repository_type Digital Repository
institution_category Local University
institution International Islamic University Malaysia
building IIUM Repository
collection Online Access
language English
topic HG4501 Stocks, investment, speculation
spellingShingle HG4501 Stocks, investment, speculation
Mohamad, Azhar
Implied volatility forecasting in the options market: a survey
description Implied volatility is regarded as one of the most important variables for determining profitability in options trading. Implied volatility gives indication about the future volatility of the underlying asset and can be used to predict the degree to which the asset price might swing and thus whether the options could become profitable before expiration. Volatility forecasting can be grouped into two main categories namely option-implied volatility and historical time-series models. There is an academic debate as to which of the two methods has stronger predictive power. In this paper, we provide a review of options-implied volatility forecasting studies. This survey of the literature suggests there is no consensus to indicate that the implied volatility has stronger predictive power than historical time series in forecasting realized volatility.
format Article
author Mohamad, Azhar
author_facet Mohamad, Azhar
author_sort Mohamad, Azhar
title Implied volatility forecasting in the options market: a survey
title_short Implied volatility forecasting in the options market: a survey
title_full Implied volatility forecasting in the options market: a survey
title_fullStr Implied volatility forecasting in the options market: a survey
title_full_unstemmed Implied volatility forecasting in the options market: a survey
title_sort implied volatility forecasting in the options market: a survey
publisher Penerbit UTM Press
publishDate 2016
url http://irep.iium.edu.my/50540/
http://irep.iium.edu.my/50540/
http://irep.iium.edu.my/50540/1/Implied_Volatility_-_Published_in_Sains_Humanika.pdf
first_indexed 2023-09-18T21:11:25Z
last_indexed 2023-09-18T21:11:25Z
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