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How does monetary policy impact the risk-taking behavior of banks, and to what extent do differences across banks influence this relationship?

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Longueville, Thomas ULiège
Promotor(s) : Hambuckers, Julien ULiège
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 ULiège
Date of defense  : 2-Sep-2024/7-Sep-2024
Advisor(s) : Hambuckers, Julien ULiège
Committee's member(s) : Crucil, Romain ULiège
Clerc, Pierrick ULiège
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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  • Longueville, Thomas ULiège Université de Liège > Mast. scienc. éc. or. gén. fin. spéc. macr. fin.

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  • Total number of views 33
  • Total number of downloads 17










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