Abstract
The 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.
Original language | English |
---|---|
Title of host publication | Statistical Modelling and Risk Analysis |
Subtitle of host publication | Selected contributions from ICRA9, Perugia, Italy, May 25-27, 2022 |
Editors | Christos P. Kitsos, Teresa A. Oliveira, Francesca Pierri, Marialuisa Restaino |
Place of Publication | Gewebestrasse, Switzerland |
Publisher | Springer Nature |
Pages | 17-25 |
Number of pages | 8 |
Volume | 430 |
ISBN (Electronic) | 978-3-031-39864-3 |
ISBN (Print) | 978-3-031-39863-6 |
DOIs | |
Publication status | Published - 13 Dec 2023 |
Event | 9th International Conference on Risk Analysis (ICRA9) - The University of Perugia and the University of Salerno, Perugia, Italy Duration: 25 May 2022 → 27 May 2022 Conference number: 9th http://icra9.unipg.it/ |
Publication series
Name | Springer Proceedings in Mathematics & Statistics |
---|---|
Publisher | Springer Nature |
ISSN (Print) | 2194-1009 |
ISSN (Electronic) | 2194-1017 |
Conference
Conference | 9th International Conference on Risk Analysis (ICRA9) |
---|---|
Abbreviated title | ICRA9 |
Country/Territory | Italy |
City | Perugia |
Period | 25/05/22 → 27/05/22 |
Internet address |
Keywords
- Data Science
- Finance
- Risk Analysis
- Active Learning
- Big Data
Fingerprint
Dive into the research topics of 'Teaching Note—Data Science Training for Finance and Risk Analysis: A Pedagogical Approach with Integrating Online Platforms'. Together they form a unique fingerprint.Prizes
-
BLA. Blending Learning Award (Teaching Award)
Ashofteh, Afshin (Recipient), 1 Mar 2023
Prize: Prize (including medals and awards)
File