Short Communication: A Note on Utility Indifference Pricing with Delayed Information
Peter Bank, Yan Dolinsky
Abstract
Peter Bank, Yan Dolinsky
Abstract
We consider the Bachelier model with information delay where investment decisions can be based only on observations from $H>0$ time units before. Utility indifference prices are studied for vanilla options, and we compute their nontrivial scaling limit for vanishing delay when risk aversion is scaled like $A/H$ for some constant $A$. Using techniques from [M. Fritelli, Math. Finance, 10 (2000), pp. 39--52], we develop discrete-time duality for this setting and show how the relaxed form of the martingale property introduced by [Y. Kabanov and C. Stricker, The Dalang--Morton--Willinger theorem under delayed and restricted information, in In Memoriam Paul-André Meyer: Séminaire de Probabilités XXXIX, Lecture Notes in Math. 1874, Springer, Berlin, 2006, pp. 209--213] results in the scaling limit taking the form of a volatility control problem with quadratic penalty.
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We consider the Bachelier model with information delay where investment decisions can be based only on observations from $H>0$ time units before. Utility indifference prices are studied for vanilla options, and we compute their nontrivial scaling limit for vanishing delay when risk aversion is scaled like $A/H$ for some constant $A$. Using techniques from [M. Fritelli, Math. Finance, 10 (2000), pp. 39--52], we develop discrete-time duality for this setting and show how the relaxed form of the martingale property introduced by [Y. Kabanov and C. Stricker, The Dalang--Morton--Willinger theorem under delayed and restricted information, in In Memoriam Paul-André Meyer: Séminaire de Probabilités XXXIX, Lecture Notes in Math. 1874, Springer, Berlin, 2006, pp. 209--213] results in the scaling limit taking the form of a volatility control problem with quadratic penalty.
Key concepts: Mathematical economics, Subject (documents), Economics, Financial economics, Econometrics, Computer science, Actuarial science, Library science