Nije dostupno na hrvatskom jeziku.
Fabio Franch
- 15 May 2024
- OCCASIONAL PAPER SERIES - No. 348Details
- Abstract
- This paper provides an overview of stress-testing methodologies in Europe, with a focus on the advancements made by the European Central Bank’s Financial Stability Committee Working Group on Stress Testing (WGST). Over a four-year period, the WGST played a pivotal role in refining stress-testing practices, promoting collaboration among central banks and supervisory authorities and addressing challenges in the evolving financial landscape. The paper discusses the development and application of various stress-testing models, including top-down models, macro-micro models and system-wide models. It highlights the integration of new datasets and model validation efforts as well as the expanded use of stress-testing methodologies in risk and policy evaluation and in communication. The collaborative efforts of the WGST have demystified stress-testing methodologies and fostered trust among stakeholders. The paper concludes by outlining the future agenda for continued improvements in stress-testing practices.
- JEL Code
- G21 : Financial Economics→Financial Institutions and Services→Banks, Depository Institutions, Micro Finance Institutions, Mortgages
G28 : Financial Economics→Financial Institutions and Services→Government Policy and Regulation
C58 : Mathematical and Quantitative Methods→Econometric Modeling→Financial Econometrics
G01 : Financial Economics→General→Financial Crises
G18 : Financial Economics→General Financial Markets→Government Policy and Regulation
- 13 June 2022
- MACROPRUDENTIAL BULLETIN - ARTICLE - No. 17Details
- Abstract
- A system-wide stress testing framework allows for a comprehensive assessment of the financial impact of severe climate risk scenarios. The combined reactions of banks, investment funds and insurers to climate stress amplify losses in the financial system.
- JEL Code
- D85 : Microeconomics→Information, Knowledge, and Uncertainty→Network Formation and Analysis: Theory
G01 : Financial Economics→General→Financial Crises
G21 : Financial Economics→Financial Institutions and Services→Banks, Depository Institutions, Micro Finance Institutions, Mortgages
G23 : Financial Economics→Financial Institutions and Services→Non-bank Financial Institutions, Financial Instruments, Institutional Investors
L14 : Industrial Organization→Market Structure, Firm Strategy, and Market Performance→Transactional Relationships, Contracts and Reputation, Networks
- 1 June 2022
- WORKING PAPER SERIES - No. 2667Details
- Abstract
- This paper studies the dynamics of contagion across the banking, insurance and shadow banking sectors of 16 advanced economies in the period 2006-2018. We construct Granger causality-in-risk networks and introduce higher-order aggregate networks and temporal node centralities in an economic setting to capture non-Markovian network features. Our approach uncovers the dynamics of financial contagion as it is transmitted across segments of the financial system and jurisdictions. Temporal centralities identify countries in distress as the nodes through which contagion propagates. Moreover, the banking system emerge as the primary source and transmitter of stress while banks and shadow banks are highly interconnected. The insurance sector is found to contribute less to stress transmission in all periods, except during the global financial crisis. Our approach, as opposed to one that uses memoryless measures of network centrality, is able to identify more clearly the nodes that are critical for the transmission of financial contagion.
- JEL Code
- C02 : Mathematical and Quantitative Methods→General→Mathematical Methods
C22 : Mathematical and Quantitative Methods→Single Equation Models, Single Variables→Time-Series Models, Dynamic Quantile Regressions, Dynamic Treatment Effect Models &bull Diffusion Processes
G01 : Financial Economics→General→Financial Crises
G2 : Financial Economics→Financial Institutions and Services
- 23 May 2019
- WORKING PAPER SERIES - No. 2285Details
- Abstract
- We analyse the cross-border propagation of prudential regulation in the euro area. Using the Prudential Instruments Database (Cerutti et al., 2017b) and a unique confidential database on balance sheets items of euro-area financial institutions we estimate panel models for 248 banks from 16 euro-area countries. We find that domestic banks reduce lending after the tightening of capital requirements in other countries, while they increase lending when loan-to-value (LTV) limits or reserve requirements are tightened abroad. We also find that foreign affiliates increase lending following the tightening of sector-specific capital buffers in the countries where their parent banks reside and that bank size and liquidity play a role in determining the magnitude of cross-border spillovers.
- JEL Code
- G21 : Financial Economics→Financial Institutions and Services→Banks, Depository Institutions, Micro Finance Institutions, Mortgages
F34 : International Economics→International Finance→International Lending and Debt Problems
F36 : International Economics→International Finance→Financial Aspects of Economic Integration - Network
- Research Task Force (RTF)