Institutional Repository
Technical University of Crete
Technical University of Crete
EN
|
EL
| URI | http://purl.tuc.gr/dl/dias/9B8281B9-2152-469C-B630-45D4C70C337D | - |
| Identifier | https://doi.org/10.1080/01605682.2019.1595193 | - |
| Identifier | https://www.tandfonline.com/doi/full/10.1080/01605682.2019.1595193 | - |
| Language | en | - |
| Extent | 20 pages | en |
| Title | Computational approaches and data analytics in financial services: A literature review | en |
| Creator | Andriosopoulos Dimitris | en |
| Creator | Doumpos Michail | en |
| Creator | Δουμπος Μιχαηλ | el |
| Creator | Pardalos, Panos M., 1954- | en |
| Creator | Zopounidis Konstantinos | en |
| Creator | Ζοπουνιδης Κωνσταντινος | el |
| Publisher | Taylor & Francis | en |
| Content Summary | 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. | en |
| Type of Item | Ανασκόπηση | el |
| Type of Item | Review | en |
| License | http://creativecommons.org/licenses/by/4.0/ | en |
| Date of Item | 2020-05-28 | - |
| Date of Publication | 2019 | - |
| Subject | Data analytics | en |
| Subject | Financial modeling | en |
| Subject | Financial services | en |
| Subject | Risk management | en |
| Bibliographic Citation | D. 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: 10.1080/01605682.2019.1595193 | en |
Copyright © DIAS 2013
