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Teoriya Veroyatnostei i ee Primeneniya, 2003, Volume 48, Issue 1, Pages 177–188
DOI: https://doi.org/10.4213/tvp309
(Mi tvp309)
 

This article is cited in 34 scientific papers (total in 34 papers)

Short Communications

$\sigma$-localization and $\sigma$-martingales

J. Kallsen

Albert Ludwigs University of Freiburg
References:
Abstract: This paper introduces the concept of $\sigma$-localization, which is a generalization of localization in the general theory of stochastic processes. The $\sigma$-localized class derived from the set of martingales is the class of $\sigma$-martingales, which plays an important role in mathematical finance. These processes and the corresponding $\sigma$-martingale measures are considered in detail. By extending the stochastic integral with respect to compensated random measures, a canonical representation of $\sigma$-martingales as for local martingales is derived.
Keywords: $\sigma$-localization, $\sigma$-martingale, stochastic integral, canonical representation, $\sigma$-martingale measure.
Received: 06.09.2002
English version:
Theory of Probability and its Applications, 2004, Volume 48, Issue 1, Pages 152–163
DOI: https://doi.org/10.1137/S0040585X980312
Bibliographic databases:
Document Type: Article
Language: English
Citation: J. Kallsen, “$\sigma$-localization and $\sigma$-martingales”, Teor. Veroyatnost. i Primenen., 48:1 (2003), 177–188; Theory Probab. Appl., 48:1 (2004), 152–163
Citation in format AMSBIB
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\paper $\sigma$-localization and $\sigma$-martingales
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\pages 177--188
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\transl
\jour Theory Probab. Appl.
\yr 2004
\vol 48
\issue 1
\pages 152--163
\crossref{https://doi.org/10.1137/S0040585X980312}
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Linking options:
  • https://www.mathnet.ru/eng/tvp309
  • https://doi.org/10.4213/tvp309
  • https://www.mathnet.ru/eng/tvp/v48/i1/p177
  • This publication is cited in the following 34 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Теория вероятностей и ее применения Theory of Probability and its Applications
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