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Capture Basin Algorithm for Evaluating and Managing Complex Financial Instruments

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Author Info
Dominique Pujal (S.D.F. C.R.V.J.C. University Paris Dauphine)
Patrick Saint-Pierre () (S.D.F. C.R.V.J.C. University Paris Dauphine)
Abstract

One aim of Viability Theory is to regulate evolutions under uncertainty in order not only to reach a target in finite time, but also to fulfill constraints (known as viability) until this time. Within the framework of finance, in the case of replicating portfolios, the target is defined by the payoff function at maturity time, and the constraints appear when one want to take into account limitations on prices and quantities to share. Moreover, extension of Viability Theory to hybrid or impulse systems allows to evaluate more complex financial instruments.

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Publisher Info
Paper provided by Society for Computational Economics in its series Computing in Economics and Finance 2006 with number 186.

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Date of creation: 04 Jul 2006
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Handle: RePEc:sce:scecfa:186

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Related research
Keywords: Viability Capture Basin Algorithm Finance

Find related papers by JEL classification:
C73 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Stochastic and Dynamic Games; Evolutionary Games
G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
G13 - Financial Economics - - General Financial Markets - - - Contingent Pricing; Futures Pricing

Cited by:
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  1. Jacek Krawczyk & Rishab Sethi, 2007. "Satisficing Solutions for New Zealand Monetary Policy," Reserve Bank of New Zealand Discussion Paper Series DP2007/03, Reserve Bank of New Zealand. [Downloadable!]
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This page was last updated on 2008-8-16.


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