Computational approaches and data analytics in financial services: a literature review

Dimitris Andriosopoulos, Michalis Doumpos, Panos M. Pardalos, Constantin Zopounidis

Research output: Contribution to journalArticlepeer-review

8 Citations (Scopus)
22 Downloads (Pure)


The level of modeling sophistication in financial services has increased considerably over the years. Nowadays, the complexity of financial problems and the vast amount of data require an engineering approach based on analytical modeling tools for planning, decision making, reporting, and supervisory control. This article provides an overview of the main financial applications of computational and data analytics approaches, focusing on the coverage of the recent developments and trends. The overview covers different methodological tools and their uses in areas, such as portfolio management, credit analysis, banking, and insurance.

Original languageEnglish
Pages (from-to)1581-1599
Number of pages19
JournalJournal of the Operational Research Society
Issue number10
Early online date28 May 2019
Publication statusPublished - 31 Oct 2019


  • financial services
  • data analytics
  • risk management
  • financial modeling


Dive into the research topics of 'Computational approaches and data analytics in financial services: a literature review'. Together they form a unique fingerprint.

Cite this