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Colloquium of the Steklov Mathematical Institute of Russian Academy of Sciences
November 14, 2019 15:30–17:30, Moscow, Steklov Mathematical Institute of RAS, Conference Hall (8 Gubkina)
 


On Mathematical Methods for Pricing of Financial Contracts

Alexander Melnikov

University of Alberta
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Alexander Melnikov
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Abstract: Pricing of financial contracts or option pricing is one of the main research areas of modern Mathematical Finance. Hence, new valuable developments in this area remain well-motivated and highly desirable. The aim of the talk is to present some comprehensive issues that can be interesting for a wider audience besides those experts who primarily work in Mathematical Finance. Moreover, the developments in option pricing can be considered as a reasonable source of new problems and studies in related mathematical disciplines. In the talk we discuss the essence of the notion “financial contract” and formulate the main problem for study in this context. A dual theory of option pricing will be developed by means of market completions as an alternative of the well-known option price characterization via martingale measures. We also present another approach in option pricing which is based on comparison theorems for solutions of stochastic differential equations. Besides perfect hedging methods we develop the partial or imperfect hedging technique that is concentrated around a statistical notion of “loss functions” and a financial notion of “risk measures”. It will be shown how such methods (quantile hedging and CVaR-hedging) work and how these findings are applied in life insurance and financial regulation areas. A special attention will be devoted to estimation problems of parameters of financial models. In particular, it will be shown what kind of mathematical problems and effects arise in the volatility estimation. Finally, we will pay our attention to extensions of probability distributions of stock returns using orthogonal polynomials techniques. Going in this way we get a possibility to see what happens beyond the Black-Scholes model.

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