Model Risk in Variance Swap Rates
Carol Alexander () and
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Stamatis Leontsinis: Fulcrum Asset Management, London
ICMA Centre Discussion Papers in Finance from Henley Business School, University of Reading
Different theoretical and numerical methods for calculating the fair-value of a variance swap give rise to systematic biases that are most pronounced during volatile periods. For instance, differences of 10-20 percentage points would have been observed on fair-value index variance swap rates during the backing crisis in 2008, depending on the formula used and its implementation. Our empirical study utilizes more than 16 years of FTSE 100 daily options prices to compare three fair-value variance swap rates. The exchange's variance swap rate formula, used to quote volatility indices such as VIX, has an upward bias induced by Reimann sum numerical integration that empirically outweighs the negative jump and discrete monitorisation biases that are inherent in this fair-value formula. On average, the exchange's methodology provides less accurate predictors of discretely-monitored realised volatility than the approximate swap rate formula introduced in the paper, which we implement using an almost exact analytical integration technique.
Keywords: Model Risk; Variance Swap; Volatility Index; VIX; FTSE 100; FTSE (search for similar items in EconPapers)
JEL-codes: G01 G12 G15 (search for similar items in EconPapers)
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