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

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.

Keywords:

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

Disclosure statement

No potential conflict of interest was reported by the authors.

Note

Notes

1 https://bit.ly/2OyGUDu and https://bit.ly/2OulCXf (accessed: 8 November, 2018)