Predicting Implied Volatility with Historical Volatility
Xinjie Wang,
Ge Wu and
Suyang Zhao
Chapter 68 in Handbook of Investment Analysis, Portfolio Management, and Financial Derivatives:In 4 Volumes, 2024, pp 2151-2175 from World Scientific Publishing Co. Pte. Ltd.
Abstract:
In this study, we document a novel lead–lag relation between historical and implied volatilities based on China’s CSI300 Index options. We show that historical volatilities have incremental information when we predict implied volatilities, and this pattern tends to be more stable for put options than for call options. Moreover, we reveal that this lead– lag relation is relevant to option terms and time horizons of historical volatilities, which means implied volatilities of long-term options are more likely to be properly predicted by long-term historical volatilities on average. Finally, we find that speculative trading might explain our results.
Keywords: Financial Accounting; Financial Auditing; Mutual Funds; Hedge Funds; Asset Pricing; Options; Portfolio Analysis; Risk Management; Investment Analysis; Momentum Analysis; Behavior Analysis; Futures; Index Futures; CDCs; Financial Econometrics; Statistics; Financial Derivatives; Financial Accounting (search for similar items in EconPapers)
JEL-codes: G1 G11 G12 G3 M41 M42 (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:
Downloads: (external link)
https://www.worldscientific.com/doi/pdf/10.1142/9789811269943_0068 (application/pdf)
https://www.worldscientific.com/doi/abs/10.1142/9789811269943_0068 (text/html)
Ebook Access is available upon purchase.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:wsi:wschap:9789811269943_0068
Ordering information: This item can be ordered from
Access Statistics for this chapter
More chapters in World Scientific Book Chapters from World Scientific Publishing Co. Pte. Ltd.
Bibliographic data for series maintained by Tai Tone Lim ().