Regulatory impact analysis in case of unstructured data
- Regulatory impact analysis (RIA) serves to evaluate whether regulatory actions fulfill the desired goals. Although there are different frameworks for conducting RIA, they are only applicable to regulations whose impact can be measured with structured data. Yet, a significant and increasing number of regulations require firms to comply by communicating textual data to consumers and supervisors. Therefore, we develop a methodological framework for RIA in case of unstructured data based on textual analysis and apply it to a recent financial market regulation: MiFID II.
| Author: | Benjamin ClaphamORCiDGND, Micha BenderORCiD, Jens LausenORCiDGND, Peter GomberORCiDGND |
|---|---|
| URN: | urn:nbn:de:hebis:30:3-712544 |
| ISSN: | 1866-1238 |
| ISSN: | 2700-2241 |
| Parent Title (English): | Efl insights : an elf - the Data Science Institute publication |
| Publisher: | E-Finance Lab e.V. |
| Place of publication: | Frankfurt am Main |
| Document Type: | Article |
| Language: | English |
| Date of Publication (online): | 2023/01/05 |
| Date of first Publication: | 2023/01/05 |
| Publishing Institution: | Universitätsbibliothek Johann Christian Senckenberg |
| Release Date: | 2023/01/05 |
| Volume: | 2023 |
| Issue: | 1 |
| Page Number: | 3 |
| First Page: | 6 |
| Last Page: | 8 |
| HeBIS-PPN: | 505213303 |
| Institutes: | Angeschlossene und kooperierende Institutionen / E-Finance Lab e.V. |
| Dewey Decimal Classification: | 3 Sozialwissenschaften / 33 Wirtschaft / 330 Wirtschaft |
| Sammlungen: | Universitätspublikationen |
| Licence (German): |  Deutsches Urheberrecht |
