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    Rights statement: This is the peer reviewed version of the following article: Yao X, Izzeldin M. Forecasting using alternative measures of model-free option-implied volatility. J Futures Markets. 2018;38:199–218. https://doi.org/10.1002/fut.21881 which has been published in final form at http://onlinelibrary.wiley.com/doi/10.1002/fut.21881/abstract This article may be used for non-commercial purposes in accordance With Wiley Terms and Conditions for self-archiving.

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Forecasting Using Alternative Measures of Model-Free Option-Implied Volatility

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Forecasting Using Alternative Measures of Model-Free Option-Implied Volatility. / Yao, Xingzhi; Izzeldin, Marwan.
In: Journal of Futures Markets, Vol. 38, No. 2, 02.2018, p. 199-218.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

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Yao X, Izzeldin M. Forecasting Using Alternative Measures of Model-Free Option-Implied Volatility. Journal of Futures Markets. 2018 Feb;38(2):199-218. Epub 2017 Oct 2. doi: 10.1002/fut.21881

Author

Yao, Xingzhi ; Izzeldin, Marwan. / Forecasting Using Alternative Measures of Model-Free Option-Implied Volatility. In: Journal of Futures Markets. 2018 ; Vol. 38, No. 2. pp. 199-218.

Bibtex

@article{15d65f6f4c0543a99e8276c3980d441e,
title = "Forecasting Using Alternative Measures of Model-Free Option-Implied Volatility",
abstract = "This paper evaluates the performance of various measures of model-free implied volatility in predicting returns and realized volatility. The critical role of the out-of-the money call options is highlighted through an investigation of the relevance of different components of the model-free implied volatility. The Monte Carlo simulations show that: first, volatility forecasting performance of various measures can be enhanced by employing an interpolation-extrapolation technique; second, for most measures considered, gains in their predictive power for future returns can be obtained by implementing an interpolation procedure. An empirical application using SPX options recorded from 2003 to 2013 further illustrates these claims.",
author = "Xingzhi Yao and Marwan Izzeldin",
note = "This is the peer reviewed version of the following article: Yao X, Izzeldin M. Forecasting using alternative measures of model-free option-implied volatility. J Futures Markets. 2018;38:199–218. https://doi.org/10.1002/fut.21881 which has been published in final form at http://onlinelibrary.wiley.com/doi/10.1002/fut.21881/abstract This article may be used for non-commercial purposes in accordance With Wiley Terms and Conditions for self-archiving.",
year = "2018",
month = feb,
doi = "10.1002/fut.21881",
language = "English",
volume = "38",
pages = "199--218",
journal = "Journal of Futures Markets",
issn = "0270-7314",
publisher = "Wiley-Liss Inc.",
number = "2",

}

RIS

TY - JOUR

T1 - Forecasting Using Alternative Measures of Model-Free Option-Implied Volatility

AU - Yao, Xingzhi

AU - Izzeldin, Marwan

N1 - This is the peer reviewed version of the following article: Yao X, Izzeldin M. Forecasting using alternative measures of model-free option-implied volatility. J Futures Markets. 2018;38:199–218. https://doi.org/10.1002/fut.21881 which has been published in final form at http://onlinelibrary.wiley.com/doi/10.1002/fut.21881/abstract This article may be used for non-commercial purposes in accordance With Wiley Terms and Conditions for self-archiving.

PY - 2018/2

Y1 - 2018/2

N2 - This paper evaluates the performance of various measures of model-free implied volatility in predicting returns and realized volatility. The critical role of the out-of-the money call options is highlighted through an investigation of the relevance of different components of the model-free implied volatility. The Monte Carlo simulations show that: first, volatility forecasting performance of various measures can be enhanced by employing an interpolation-extrapolation technique; second, for most measures considered, gains in their predictive power for future returns can be obtained by implementing an interpolation procedure. An empirical application using SPX options recorded from 2003 to 2013 further illustrates these claims.

AB - This paper evaluates the performance of various measures of model-free implied volatility in predicting returns and realized volatility. The critical role of the out-of-the money call options is highlighted through an investigation of the relevance of different components of the model-free implied volatility. The Monte Carlo simulations show that: first, volatility forecasting performance of various measures can be enhanced by employing an interpolation-extrapolation technique; second, for most measures considered, gains in their predictive power for future returns can be obtained by implementing an interpolation procedure. An empirical application using SPX options recorded from 2003 to 2013 further illustrates these claims.

U2 - 10.1002/fut.21881

DO - 10.1002/fut.21881

M3 - Journal article

VL - 38

SP - 199

EP - 218

JO - Journal of Futures Markets

JF - Journal of Futures Markets

SN - 0270-7314

IS - 2

ER -