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Total Positivity and Relative Convexity of Option Prices

In: Peter Carr Gedenkschrift Research Advances in Mathematical Finance

Author

Listed:
  • Paul Glasserman
  • Dan Pirjol

Abstract

This chapter studies total positivity and relative convexity properties in option pricing models. We introduce these properties in the Black–Scholes setting by showing the following: out-of-the-money calls are totally positive in strike and volatility, out-of-the-money puts have a reverse sign rule property, calls and puts are convex with respect to at-the-money prices and relative convexity of option prices implies a convexity-in-time property of the underlying. We then extend these properties to other models, including scalar diffusions, mixture models and certain Lévy processes. We show that relative convexity typically holds in time-homogeneous local volatility models through the Dupire equation. We develop implications of these ideas for empirical option prices, including constraints on the at-the-money skew. We illustrate connections with models studied by Peter Carr, including the variance-gamma, CGMY, Dagum and logistic density models.

Suggested Citation

  • Paul Glasserman & Dan Pirjol, 2023. "Total Positivity and Relative Convexity of Option Prices," World Scientific Book Chapters, in: Robert A Jarrow & Dilip B Madan (ed.), Peter Carr Gedenkschrift Research Advances in Mathematical Finance, chapter 12, pages 393-443, World Scientific Publishing Co. Pte. Ltd..
  • Handle: RePEc:wsi:wschap:9789811280306_0012
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    Keywords

    Mathematical Finance; Quantitative Finance; Option Pricing; Derivatives; No Arbitrage; Asset Price Bubbles; Asset Pricing; Equilibrium; Volatility; Diffusion Processes; Jump Processes; Stochastic Integration; Trading Strategies; Portfolio Theory; Optimization; Securities; Bonds; Commodities; Futures;
    All these keywords.

    JEL classification:

    • C02 - Mathematical and Quantitative Methods - - General - - - Mathematical Economics
    • C6 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling

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