Implied volatility surface predictability: The case of commodity markets

Fearghal Kearney, Han Lin Shang and Lisa Sheenan

Journal of Banking & Finance, 2019, vol. 108, issue C

Abstract: Recent literature seek to forecast implied volatility derived from equity, index, foreign exchange, and interest rate options using latent factor and parametric frameworks. Motivated by increased public attention borne out of the financialization of futures markets in the early 2000s, we investigate if these extant models can uncover predictable patterns in the implied volatility surfaces of the most actively traded commodity options between 2006 and 2016. Adopting a rolling out-of-sample forecasting framework that addresses the common multiple comparisons problem, we establish that, for energy and precious metals options, explicitly modeling the term structure of implied volatility using the Nelson-Siegel factors produces the most accurate forecasts.

Keywords: Implied volatility surfaces; Options markets; Forecasting; Commodity finance (search for similar items in EconPapers)
JEL-codes: G10 G15 G17 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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Working Paper: Implied volatility surface predictability: the case of commodity markets (2019)
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Persistent link: https://EconPapers.repec.org/RePEc:eee:jbfina:v:108:y:2019:i:c:s0378426619302328

DOI: 10.1016/j.jbankfin.2019.105657

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