TY  - JOUR
A1  - Clapham, Benjamin
A1  - Bender, Micha
A1  - Lausen, Jens
A1  - Gomber, Peter
T1  - Regulatory impact analysis in case of unstructured data
T2  - Efl insights : an elf - the Data Science Institute publication
N2  - 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.
Y1  - 2023
UR  - http://publikationen.ub.uni-frankfurt.de/frontdoor/index/index/docId/71254
UR  - https://nbn-resolving.org/urn:nbn:de:hebis:30:3-712544
SN  - 1866-1238
SN  - 2700-2241
VL  - 2023
IS  - 1
SP  - 6
EP  - 8
PB  - E-Finance Lab e.V.
CY  - Frankfurt am Main
ER  -