This study analyzes whether KOSPI200 option returns can be predicted by call-put implied volatility spreads. Doran et al. (2013) show that call-put implied volatility spreads predict the option returns of a specific moneyness as well as underlying asset returns in the US options market. Our study examines whether the same results are shown in the KOSPI200 options market, which has different characteristics in investor compositions and trading behaviors. According to the results, the call-put implied volatility spreads cannot predict the future returns of the underlying index significantly in the KOSPI200 options market. Only, the call-put spreads can predict the future option returns. More specifically, the increase in implied volatility spreads is able to predict the decrease in call option returns and the increase in put option returns in the KOSPI200 options market. This supports the overreaction hypothesis in all ranges of option moneyness, which is in contrast to the result of Doran et al. (2003).
Article navigation
30 November 2016
Research Article|
November 30 2016
Call-Put Volatility Spreads and Option Returns in the KOSPI 200 Index Options Market
Sun-Joong Yoon
Sun-Joong Yoon
Dongguk University
Search for other works by this author on:
Publisher: Emerald Publishing on behalf of Korea Derivatives Association
Online ISSN: 2713-6647
Print ISSN: 1229-988X
© 2016 Emerald Publishing Limited
2016
This article is published under the Creative Commons Attribution (CC BY 4.0) licence. Anyone may reproduce, distribute, translate and create derivative works of this article (for both commercial and non-commercial purposes), subject to full attribution to the original publication and authors. The full terms of this licence may be seen at http://creativecommons.org/licences/by/4.0/legalcode
Journal of Derivatives and Quantitative Studies: Seonmul yeon’gu (2016) 24 (4): 647–676.
Citation
Kim SJ, Yoon S (2016), "Call-Put Volatility Spreads and Option Returns in the KOSPI 200 Index Options Market". Journal of Derivatives and Quantitative Studies: Seonmul yeon’gu, Vol. 24 No. 4 pp. 647–676, doi: https://doi.org/10.1108/JDQS-04-2016-B0005
Download citation file:
141
Views
New and popular articles
Suggested Reading
Predictable patterns following large price changes and volume: Evidence from the Indian stock market
Review of Behavioral Finance (June,2019)
Return reversal effect in Shanghai A share market
Managerial Finance (May,2019)
Overreaction evidence from large-cap stocks
Review of Accounting and Finance (November,2014)
Contrarian and momentum trading: a review of the literature
Review of Behavioral Finance (September,2014)
Overreaction effect: evidence from an emerging market (Shanghai stock market)
International Journal of Managerial Finance (August,2020)
Related Chapters
Markov Switching Models in Empirical Finance
Missing Data Methods: Time-Series Methods and Applications
The Case for Discipline-specific Ethics: A View from Social Anthropology
Reframing Qualitative Research Ethics
Recommended for you
These recommendations are informed by your reading behaviors and indicated interests.
