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An investigation of return-volatility relationship using high-frequency VKOSPI data

Authors
Bagchi, D.Lee, C.Ryu, D.
Issue Date
2013
Publisher
Inderscience Publishers
Keywords
Asymmetric volatility; High frequency data; Implied volatility; VAR; Vector autoregression; VKOSPI
Citation
Afro-Asian Journal of Finance and Accounting, v.3, no.3, pp 258 - 273
Pages
16
Journal Title
Afro-Asian Journal of Finance and Accounting
Volume
3
Number
3
Start Page
258
End Page
273
URI
https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/64906
DOI
10.1504/AAJFA.2013.054430
ISSN
1751-6447
1751-6455
Abstract
Most previous studies examine the relationship between stock market returns and volatility using low frequency data such as daily or weekly basis. In this study, using the high frequency intraday data, we expand the scope of prior studies to investigate the relationship of short-term changes of Korea's implied volatility index (VKOSPI; Volatility Index of KOSPI200) with short-term market return. We examine the short-term return-volatility relationship with regression analysis and vector autoregression (VAR) equations. The evidence predominantly points to a return-induced, asymmetric, return-volatility relationship. We also find that the asymmetric return is stronger for a high return (upper 10%) than for a low return (lowest 10%). Copyright © 2013 Inderscience Enterprises Ltd.
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