
<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/">
  <dc:language>eng</dc:language>
  <dc:format>application/pdf</dc:format>
  <dc:format>264146 bytes</dc:format>
  <dc:rights>All rights reserved</dc:rights>
  <dc:creator id="https://plus.cobiss.net/cobiss/sr/sr/conor/12464743">Petrović, Ljiljana</dc:creator>
  <dc:creator>Valjarević, Dragana</dc:creator>
  <dc:date>2018</dc:date>
  <dc:source>Filomat 32(8)</dc:source>
  <dc:title xml:lang="eng">Statistical Causality and Local Uniqueness for Solutions of the Martingale Problem</dc:title>
  <dc:type>info:eu-repo/semantics/article</dc:type>
  <dc:identifier>https://phaidrabg.bg.ac.rs/o:28983</dc:identifier>
  <dc:identifier>doi:10.2298/FIL1808851P</dc:identifier>
  <dc:identifier>ISSN: 2406-0933</dc:identifier>
  <dc:subject xml:lang="eng">Keywords. Filtration, causality, stochastic differential equation, local uniqueness, stopped martingale problem.</dc:subject>
  <dc:description xml:lang="eng">Abstract:
In this paper we consider the concept of statistical causality between filtrations associated with
stopping times, which is based on Granger’s definition of causality. Especially, we consider a generalization
of a causality relationship ”G is a cause of E within H” from fixed to stopping time. Then we apply the
given causality concept to local uniqueness for the solution of the martingale problem. Also, we give some
applications in finance.</dc:description>
</oai_dc:dc>
