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Teaching Note—Data Science Training for Finance and Risk Analysis

2023-12-13Documento de conferência Acesso aberto
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dc.contributor.authorAshofteh, Afshin
dc.contributor.institutionNOVA Information Management School (NOVA IMS)
dc.contributor.institutionInformation Management Research Center (MagIC) - NOVA Information Management School
dc.coverage.spatialGewebestrasse, Switzerland
dc.date.accessioned2023-12-21T22:07:08Z
dc.date.available2024-12-19T01:31:50Z
dc.date.embargoedUntil2024-12-13
dc.date.issued2023-12-13
dc.descriptionAshofteh, A. (2023). Teaching Note—Data Science Training for Finance and Risk Analysis: A Pedagogical Approach with Integrating Online Platforms. In C. P. Kitsos, T. A. Oliveira, F. Pierri, & M. Restaino (Eds.), Statistical Modelling and Risk Analysis: Selected contributions from ICRA9, Perugia, Italy, May 25-27, 2022 (Vol. 430, pp. 17-25). (Springer Proceedings in Mathematics & Statistics). Springer Nature. https://doi.org/10.1007/978-3-031-39864-3_2
dc.description.abstractThe main discussion of this paper is a method of data science training, which allows responding to the complex challenges of finance and risk analysis. There is growing recognition of the importance of creating and deploying financial models for risk management, incorporating new data and Big Data sources. Automating, analyzing, and optimizing a set of complex financial systems requires a wide range of skills and competencies that are rarely taught in typical finance and econometrics courses. Adopting these technologies for financial problems necessitates new skills and knowledge about processes, quality assurance frameworks, technologies, security needs, privacy, and legal issues. This paper discusses a pedagogical approach to overcome the teaching complexity of needed soft and hard skills in an integrated manner with its advantages, disadvantages, and vulnerabilities.en
dc.description.versionpreprint
dc.description.versionauthorsversion
dc.description.versionpublished
dc.format.extent8
dc.format.extent1083244
dc.format.extent1207031
dc.identifier.doi10.1007/978-3-031-39864-3_2
dc.identifier.isbn978-3-031-39863-6
dc.identifier.isbn978-3-031-39864-3
dc.identifier.issn2194-1009
dc.identifier.otherPURE: 78458014
dc.identifier.otherPURE UUID: 106e94a7-e907-467b-ab2c-101859e54e71
dc.identifier.otherScopus: 85180548284
dc.identifier.urihttp://hdl.handle.net/10362/161543
dc.identifier.urlhttps://codeocean.com/capsule/0503126/tree/v1
dc.identifier.urlhttps://www.scopus.com/pages/publications/85180548284
dc.language.isoeng
dc.peerreviewedyes
dc.publisherSpringer Nature
dc.subjectData Science
dc.subjectFinance
dc.subjectRisk Analysis
dc.subjectActive Learning
dc.subjectBig Data
dc.subjectGeneral Mathematics
dc.subjectSDG 4 - Quality Education
dc.subjectSDG 8 - Decent Work and Economic Growth
dc.subjectSDG 9 - Industry, Innovation, and Infrastructure
dc.subjectSDG 10 - Reduced Inequalities
dc.titleTeaching Note—Data Science Training for Finance and Risk Analysisen
dc.title.subtitleA Pedagogical Approach with Integrating Online Platformsen
dc.typeconference object
degois.publication.firstPage17
degois.publication.lastPage25
degois.publication.titleStatistical Modelling and Risk Analysis
degois.publication.title9th International Conference on Risk Analysis (ICRA9)
degois.publication.volume430
dspace.entity.typePublication
rcaap.rightsopenAccess

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