How does monetary policy impact the risk-taking behavior of banks, and to what extent do differences across banks influence this relationship?
Longueville, Thomas
Promotor(s) : Hambuckers, Julien
Date of defense : 2-Sep-2024/7-Sep-2024 • Permalink : http://hdl.handle.net/2268.2/21410
Details
Title : | How does monetary policy impact the risk-taking behavior of banks, and to what extent do differences across banks influence this relationship? |
Translated title : | [fr] Comment la politique monétaire influence-t-elle le comportement de prise de risque des banques, et dans quelle mesure les différences entre les banques affectent-elles cette relation ? |
Author : | Longueville, Thomas |
Date of defense : | 2-Sep-2024/7-Sep-2024 |
Advisor(s) : | Hambuckers, Julien |
Committee's member(s) : | Crucil, Romain
Clerc, Pierrick |
Language : | English |
Number of pages : | 58 |
Keywords : | [en] Monetary Policy [en] Risk-Taking Channel [en] Banks [en] Zero Lower Bound [en] Unconventional Monetary Policy [en] Local Projections [en] High-Frequency Identification |
Discipline(s) : | Business & economic sciences > Macroeconomics & monetary economics |
Target public : | Researchers Professionals of domain Student General public |
Institution(s) : | Université de Liège, Liège, Belgique |
Degree: | Master en sciences économiques, orientation générale, à finalité spécialisée en macroeconomics and finance |
Faculty: | Master thesis of the HEC-Ecole de gestion de l'Université de Liège |
Abstract
[en] This thesis examines the impact of monetary policy (MP) on banks' risk-taking behavior, particularly during periods of unconventional monetary policies (UMP). Focusing on the post-Global Financial Crisis (GFC) era, the study assesses how MP changes influence bank lending and risk profiles and the role of bank-specific characteristics (e.g., size, equity ratios) in this relationship. Using a robust econometric framework combining High-Frequency Identification (HFI) and Local Projections (LP) models, the research analyzes MP shocks using high-frequency data from the Euro Area Monetary Policy Database (EA-MPD) and bank-specific metrics like Loan to Asset (LTA) and Non-Performing Loans (NPL) ratios. Key findings indicate that lower interest rates and UMP lead to increased lending but initially raise NPL ratios due to riskier lending, which stabilizes over time as banks adjust their strategies. Robustness tests confirm these effects. This study provides evidence of the risk-taking channel of MP, highlighting the importance of bank-specific factors and suggesting the need for further research on heterogeneous responses among banks.
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