TY - JOUR
T1 - Computational approaches and data analytics in financial services
T2 - a literature review
AU - Andriosopoulos, Dimitris
AU - Doumpos, Michalis
AU - Pardalos, Panos M.
AU - Zopounidis, Constantin
PY - 2019/10/31
Y1 - 2019/10/31
N2 - 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.
AB - 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.
KW - financial services
KW - data analytics
KW - risk management
KW - financial modeling
UR - https://link-springer-com.proxy.lib.strath.ac.uk/journal/volumesAndIssues/41274
U2 - 10.1080/01605682.2019.1595193
DO - 10.1080/01605682.2019.1595193
M3 - Article
SN - 0160-5682
VL - 70
SP - 1581
EP - 1599
JO - Journal of the Operational Research Society
JF - Journal of the Operational Research Society
IS - 10
ER -