The Term Structure and S&P100 Model-Free Volatilities
Publication Type
Journal Article
Publication Date
2013
Abstract
We develop an improved method to obtain the model-free volatility more accurately despite the limitations of a finite number of options and large strike price intervals. Our method computes the model-free volatility from European-style S&P 100 index options over a horizon of up to 450 days, the first time that this has been attempted, as far as we are aware. With the estimated daily term structure over the long horizon, we find that (i) changes in model-free volatilities are asymmetrically more positively impacted by a decrease in the index level than negatively impacted by an increase in the index level; (ii) the negative relationship between the daily change in model-free volatility and the daily change in index level is stronger in the near term than in the far term; and (iii) the slope of the term structure is positively associated with the index level, having a tendency to display a negative slope during bear markets and a positive slope during bull markets. These significant results have important implications for pricing and hedging index derivatives and portfolios.
Keywords
Volatility modelling, Empirical finance, Options volatility, Options, Applied econometrics
Discipline
Finance and Financial Management
Research Areas
Quantitative Finance
Publication
Quantitative Finance
Volume
13
Issue
7
First Page
1041
Last Page
1058
ISSN
1469-7688
Identifier
10.1080/14697688.2012.751493
Citation
TING, Hian Ann, Christopher and Lim, Kian Guan.
The Term Structure and S&P100 Model-Free Volatilities. (2013). Quantitative Finance. 13, (7), 1041-1058.
Available at: https://ink.library.smu.edu.sg/lkcsb_research/3653