Optimal replication of random claims by ordinary integrals with applications in finance

By the classical Martingale Representation Theorem, replication of random vectors can be achieved via stochastic integrals or solutions of stochastic differential equations. We introduce a new approach to replication of random vectors via adapted differentiable processes generated by a controlled or...

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Main Author: Dokuchaev, Nikolai
Other Authors: n/a
Format: Conference Paper
Published: Society for Industrial and Applied Mathematics 2013
Subjects:
Online Access:http://hdl.handle.net/20.500.11937/32673
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author Dokuchaev, Nikolai
author2 n/a
author_facet n/a
Dokuchaev, Nikolai
author_sort Dokuchaev, Nikolai
building Curtin Institutional Repository
collection Online Access
description By the classical Martingale Representation Theorem, replication of random vectors can be achieved via stochastic integrals or solutions of stochastic differential equations. We introduce a new approach to replication of random vectors via adapted differentiable processes generated by a controlled ordinary differential equation. We found that the solution of this replication problem exists and is not unique. This leads to a new optimal control problem: find a replicating process that is minimal in an integral norm. We found an explicit solution of this problem. Possible applications to portfolio selection problems and to bond pricing models are suggested.
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spelling curtin-20.500.11937-326732017-09-13T15:26:00Z Optimal replication of random claims by ordinary integrals with applications in finance Dokuchaev, Nikolai n/a portfolio selection optimal stochastic control contingent claim replication By the classical Martingale Representation Theorem, replication of random vectors can be achieved via stochastic integrals or solutions of stochastic differential equations. We introduce a new approach to replication of random vectors via adapted differentiable processes generated by a controlled ordinary differential equation. We found that the solution of this replication problem exists and is not unique. This leads to a new optimal control problem: find a replicating process that is minimal in an integral norm. We found an explicit solution of this problem. Possible applications to portfolio selection problems and to bond pricing models are suggested. 2013 Conference Paper http://hdl.handle.net/20.500.11937/32673 10.1137/1.9781611973273.9 Society for Industrial and Applied Mathematics fulltext
spellingShingle portfolio selection
optimal stochastic control
contingent claim replication
Dokuchaev, Nikolai
Optimal replication of random claims by ordinary integrals with applications in finance
title Optimal replication of random claims by ordinary integrals with applications in finance
title_full Optimal replication of random claims by ordinary integrals with applications in finance
title_fullStr Optimal replication of random claims by ordinary integrals with applications in finance
title_full_unstemmed Optimal replication of random claims by ordinary integrals with applications in finance
title_short Optimal replication of random claims by ordinary integrals with applications in finance
title_sort optimal replication of random claims by ordinary integrals with applications in finance
topic portfolio selection
optimal stochastic control
contingent claim replication
url http://hdl.handle.net/20.500.11937/32673