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Convex pricing by a generalized entropy penalty

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  • Johannes Leitner

Abstract

In an incomplete Brownian-motion market setting, we propose a convex monotonic pricing functional for nonattainable bounded contingent claims which is compatible with prices for attainable claims. The pricing functional is defined as the convex conjugate of a generalized entropy penalty functional and an interpretation in terms of tracking with instantaneously vanishing risk can be given.

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  • Johannes Leitner, 2008. "Convex pricing by a generalized entropy penalty," Papers 0804.0127, arXiv.org.
  • Handle: RePEc:arx:papers:0804.0127
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    File URL: http://arxiv.org/pdf/0804.0127
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    Cited by:

    1. Dejian Tian, 2022. "Pricing principle via Tsallis relative entropy in incomplete market," Papers 2201.05316, arXiv.org, revised Oct 2022.

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