• Media type: E-Article
  • Title: Analyzing, Modeling, and Utilizing Observation Series Correlation in Capital Markets
  • Contributor: Musaev, Alexander; Grigoriev, Dmitry
  • Published: MDPI AG, 2021
  • Published in: Computation, 9 (2021) 8, Seite 88
  • Language: English
  • DOI: 10.3390/computation9080088
  • ISSN: 2079-3197
  • Keywords: Applied Mathematics ; Modeling and Simulation ; General Computer Science ; Theoretical Computer Science
  • Origination:
  • Footnote:
  • Description: <jats:p>In this paper, we consider the task of the analysis, modeling, and application of dependencies between asset quotes at various capital markets. As an example, we study the dependency between financial instrument observation series in the currency and stock markets. Our work intends to give a theoretical basis to asset management strategies that estimate an asset’s price via regression, taking into account its correlated assets in various markets. Furthermore, we provide a way to increase the estimate quality using an evolutionary algorithm.</jats:p>
  • Access State: Open Access