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

Andriosopoulos Dimitris, Doumpos Michail, Pardalos, Panos M., 1954-, Zopounidis Konstantinos

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URIhttp://purl.tuc.gr/dl/dias/9B8281B9-2152-469C-B630-45D4C70C337D-
Identifierhttps://doi.org/10.1080/01605682.2019.1595193-
Identifierhttps://www.tandfonline.com/doi/full/10.1080/01605682.2019.1595193-
Languageen-
Extent20 pagesen
TitleComputational approaches and data analytics in financial services: A literature reviewen
CreatorAndriosopoulos Dimitrisen
CreatorDoumpos Michailen
CreatorΔουμπος Μιχαηλel
CreatorPardalos, Panos M., 1954-en
CreatorZopounidis Konstantinosen
CreatorΖοπουνιδης Κωνσταντινοςel
PublisherTaylor & Francisen
Content SummaryThe 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.en
Type of ItemΑνασκόπησηel
Type of ItemReviewen
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2020-05-28-
Date of Publication2019-
SubjectData analyticsen
SubjectFinancial modelingen
SubjectFinancial servicesen
SubjectRisk managementen
Bibliographic CitationD. Andriosopoulos, M. Doumpos, P.M. Pardalos and C. Zopounidis, "Computational approaches and data analytics in financial services: A literature review," J. Oper. Res. Soc., vol. 70, no. 10, pp. 1581-1599, May 2019. doi: 10.1080/01605682.2019.1595193en

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