On the calibration of distortion risk measures to bid-ask prices

Karl F. Bann�r and Matthias Scherer

Quantitative Finance, 2014, vol. 14, issue 7, 1217-1228

Abstract: We investigate the calibration of a non-linear pricing model to quoted bid-ask prices and show the existence of a solution in a broad class of distortion risk measures, following the frameworks of Cherny and Madan [ Int. J. Theor. Appl. Financ. , 2010, 13 (8), 1149-1177] and Bann�r and Scherer [ Eur. Actuarial J. , 2013, 3 (1), 97-132]. We present an approximation of distortion risk measures by a piecewise linear approximation of concave distortions. This is used to construct a tractable non-parametric calibration procedure to bid-ask prices based on piecewise linear concave distortion functions. To analyze the specific structure of distortion functions, we calibrate quoted bid-ask prices non-parametrically and w.r.t. parametric families and obtain a jump-linear structure. Hence, we suggest considering the parametric family of -expectation convex combinations as a possible family of distortion functions. This family allows fast and efficient calibration and has an appealing economic interpretation.

Date: 2014
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DOI: 10.1080/14697688.2014.887220

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