Version 1
: Received: 1 May 2022 / Approved: 5 May 2022 / Online: 5 May 2022 (11:14:25 CEST)
How to cite:
Leogrande, A.; Costantiello, A.; Laureti, L.; Matarrese, M.M. The Determinants of Risk Weighted Assets in Europe. Preprints2022, 2022050035. https://doi.org/10.20944/preprints202205.0035.v1
Leogrande, A.; Costantiello, A.; Laureti, L.; Matarrese, M.M. The Determinants of Risk Weighted Assets in Europe. Preprints 2022, 2022050035. https://doi.org/10.20944/preprints202205.0035.v1
Leogrande, A.; Costantiello, A.; Laureti, L.; Matarrese, M.M. The Determinants of Risk Weighted Assets in Europe. Preprints2022, 2022050035. https://doi.org/10.20944/preprints202205.0035.v1
APA Style
Leogrande, A., Costantiello, A., Laureti, L., & Matarrese, M.M. (2022). The Determinants of Risk Weighted Assets in Europe. Preprints. https://doi.org/10.20944/preprints202205.0035.v1
Chicago/Turabian Style
Leogrande, A., Lucio Laureti and Marco Maria Matarrese. 2022 "The Determinants of Risk Weighted Assets in Europe" Preprints. https://doi.org/10.20944/preprints202205.0035.v1
Abstract
We have estimated the level of Risk Weighted Assets among 30 countries in Europe, in 30 trimesters, using data of the European Banking Authority-EBA of 139 variables. We perform an econometric model using Pooled OLS, Panel Data with Fixed Effects, Panel Data with Random Effects, Weighted Least Squares. We found that Risk Weighted Assets is negatively associated, among others, to the level of NFC loans in mining and quarrying, in public administration and defence, and in financial and insurance activities and positively associated, among others to distribution of NFC loans in human health services and social work activities, in education and the level of net fee and commission income. Furthermore, we apply a cluster analysis with the k-Means algorithm, and we find the presence of two clusters. A comparison was then made between eight different machine learning algorithms for predicting the value of the RWAs and we found that the best predictor is the linear regression. The RWA value is predicted to increase by 1.5%.
Keywords
Financial Institutions and Services; General; Banks, Depository Institutions, Micro Finance Institutions, Mortgages; Investment Banking, Government Policy, and Regulation
Subject
Business, Economics and Management, Accounting and Taxation
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
