Comap Mapping Contagion In The Euro Area Banking Sector

This paper presents a novel approach to investigate and model the network of euro area banks’ large exposures within the global banking system. Drawing on a unique dataset, the paper documents the degree of interconnectedness and systemic risk of the euro area banking system based on bilateral linkages. We develop a Contagion Mapping model fully calibrated with bank-level data to study the contagion potential of an exogenous shock via credit and funding risks. We find that tipping points shifting the euro area banking system from a less vulnerable state to a highly vulnerable state are a non-linear function of the combination of network structures and bank-specific characteristics.

We investigate systemic risk and how financial contagion propagates within the euro area banking system by employing the Maximum Entropy method. The study captures multiple snapshots of a dynamic financial network and uses counterfactual simulations to propagate shocks emerging from three sources of systemic risk: interbank, asset price, and sovereign credit risk markets. As conditions deteriorate, these channels trigger severe direct and indirect losses and cascades of defaults, whilst the dominance of the sovereign credit risk channel amplifies, as the primary source of financial contagion in the banking network. Systemic risk within the northern euro area banking system is less apparent, while the southern euro area banking system is more prone and susceptible to bank failures provoked by financial contagion. By modelling the contagion path the results demonstrate that the euro area banking system insists to be markedly vulnerable and conducive to systemic risks.

The analysis of interconnectedness and contagion is an important part of the financial stability and risk assessment of a country’s financial system. This paper offers detailed and practical guidance on how to conduct a comprehensive analysis of interconnectedness and contagion for a country’s financial system under various circumstances. We survey current approaches at the IMF for analyzing interconnectedness within the interbank, cross-sector and cross-border dimensions through an overview and examples of the data and methodologies used in the Financial Sector Assessment Program. Finally, this paper offers practical advice on how to interpret results and discusses potential financial stability policy recommendations that can be drawn from this type of in-depth analysis.

In this paper we present a methodology of model-based calibration of additional capital needed in an interconnected financial system to minimize potential contagion losses. Building on ideas from combinatorial optimization tailored to controlling contagion in case of complete information about an interbank network, we augment the model with three plausible types of fire sale mechanisms. We then demonstrate the power of the methodology on the euro area banking system based on a network of 373 banks. On the basis of an exogenous shock leading to defaults of some banks in the network, we find that the contagion losses and the policy authority's ability to control them depend on the assumed fire sale mechanism and the fiscal budget constraint that may or may not restrain the policy authorities from infusing money to halt the contagion. The modelling framework could be used both as a crisis management tool to help inform decisions on capital/liquidity infusions in the context of resolutions and precautionary recapitalisations or as a crisis prevention tool to help calibrate capital buffer requirements to address systemic risks due to interconnectedness.

The 2008/9 financial crisis highlighted the importance of evaluating vulnerabilities owing to interconnectedness, or Too-Connected-to-Fail risk, among financial institutions for country monitoring, financial surveillance, investment analysis and risk management purposes. This paper illustrates the use of balance sheet-based network analysis to evaluate interconnectedness risk, under extreme adverse scenarios, in banking systems in mature and emerging market countries, and between individual banks in Chile, an advanced emerging market economy.

This paper presents Austria’s 2019 Financial System Stability Assessment. The Austrian authorities have proactively strengthened the financial stability framework since the previous Financial Sector Assessment Program (FSAP). The FSAP analysis suggests that banks are, in aggregate, resilient to severe macrofinancial shocks, although most banks would make use of capital conservation buffers. Mutual financial cooperation arrangements among banks act as a shock absorber for idiosyncratic shocks, but high financial interlinkages may fuel loss propagation in a systemic event. While a robust regulatory framework and prudential policy actions have lowered financial stability risks, challenges include data and regulatory gaps, resource constraints, high interconnectedness, and exposure to cross-border and money-laundering risks. Authorities should enhance monitoring and oversight related to contagion/spill over risks. This would include enhancing the stress testing framework to consider second round effects and contagion, improving data collection on foreign exposures, nonfinancial corporates and real estate, and strengthening supervision of related party, group-wide, and money-laundering risks. Supervisors should be able to take timely action and correct unsustainable risk taking, including unsustainable lending and business models.

The analysis of interconnectedness and contagion is an important part of the financial stability and risk assessment of a country’s financial system. This paper offers detailed and practical guidance on how to conduct a comprehensive analysis of interconnectedness and contagion for a country’s financial system under various circumstances. We survey current approaches at the IMF for analyzing interconnectedness within the interbank, cross-sector and cross-border dimensions through an overview and examples of the data and methodologies used in the Financial Sector Assessment Program. Finally, this paper offers practical advice on how to interpret results and discusses potential financial stability policy recommendations that can be drawn from this type of in-depth analysis.

The Japanese financial system has remained resilient through a series of shocks including the COVID-19 pandemic. Japan’s large and globally well-integrated financial system withstood the pandemic shock, aided by strong capital and liquidity buffers and extensive policy support. Credit provision to the private sector has remained robust since the pandemic, supporting a steady economic recovery.

The pandemic led to Colombia’s largest recession on record, but the economy bounced back strongly in 2021. The banking system has so far weathered the shock well, with the help of a strong policy and support response and strong initial position. Colombia is exposed to elevated external financing risks and the further prolongation of the pandemic. Large and complex financial conglomerates with increasing cross-border exposures dominate the financial system. The consumer-credit portfolio deserves attention as it has been growing fast and had high impairment rate during the pandemic.

Effective cross-border financial surveillance requires the monitoring of direct and indirect systemic linkages. This paper illustrates how network analysis could make a significant contribution in this regard by simulating different credit and funding shocks to the banking systems of a number of selected countries. After that, we show that the inclusion of risk transfers could modify the risk profile of entire financial systems, and thus an enriched simulation algorithm able to account for risk transfers is proposed. Finally, we discuss how some of the limitations of our simulations are a reflection of existing information and data gaps, and thus view these shortcomings as a call to improve the collection and analysis of data on cross-border financial exposures.