Computational approaches and data analytics in financial services: A literature review
Dimitris Andriosopoulos,
Michalis Doumpos,
Panos M. Pardalos and
Constantin Zopounidis
Journal of the Operational Research Society, 2019, vol. 70, issue 10, 1581-1599
Abstract:
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.
Date: 2019
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Working Paper: Computational approaches and data analytics in financial services: A literature review (2019)
Working Paper: Computational approaches and data analytics in financial services: A literature review (2019)
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DOI: 10.1080/01605682.2019.1595193
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