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Arbitrage-free approximation of call price surfaces and input data risk


  • Judith Glaser
  • Pascal Heider


In this paper we construct arbitrage-free call price surfaces from observed market data by locally constrained least squares approximations. The algorithm computes derivatives of the call surface accurately so that implied volatility, local volatility and transition probability density can be obtained at no additional cost. Observed input data are afflicted by a price uncertainty due to the bid--ask spread, quote imprecision and non-synchrony and cause an input data risk on the computed call surface and subsequently on the implied volatility surface. We model the input risk and perform an analysis to study and measure the effect of the input risk on the surfaces. With this analysis we can determine the trustworthiness of the computed results and their implications for option pricing a posteriori .

Suggested Citation

  • Judith Glaser & Pascal Heider, 2012. "Arbitrage-free approximation of call price surfaces and input data risk," Quantitative Finance, Taylor & Francis Journals, vol. 12(1), pages 61-73, August.
  • Handle: RePEc:taf:quantf:v:12:y:2012:i:1:p:61-73
    DOI: 10.1080/14697688.2010.514005

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    1. repec:spr:comgts:v:14:y:2017:i:4:d:10.1007_s10287-017-0283-8 is not listed on IDEAS
    2. Fengler, Matthias R. & Hin, Lin-Yee, 2015. "Semi-nonparametric estimation of the call-option price surface under strike and time-to-expiry no-arbitrage constraints," Journal of Econometrics, Elsevier, vol. 184(2), pages 242-261.

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