Systemic Risk, Stress Testing, and Financial Contagion

Author(s):  
Calixto Lopez-Castañon ◽  
Serafin Martinez-Jaramillo ◽  
Fabrizio Lopez-Gallo

Despite the acknowledgment of the relevance of Systemic Risk, there is a lack of consensus on its definition and, more importantly, on the way it should be measured. Fortunately, there is a growing research agenda and more financial regulators, central bankers, and academics have recently been focusing on this field. In this chapter, the authors obtain a distribution of losses for the banking system as a whole. They are convinced that such distribution of losses is the key element that could be used to develop relevant measures for systemic risk. Their model contemplates several aspects, which they consider important regarding the concept of systemic risk: an initial macroeconomic shock, which weakens some institutions (some of them to the point of failure), a contagion process by means of the interbank market, and the resulting losses to the financial system as a whole. Finally, once the distribution is estimated, the authors derive standard risk measures for the system as a whole, focusing on the tail of the distribution (where the catastrophic or systemic events are located). By using the proposed framework, it is also possible to perform stress testing in a coherent way, including second round effects like contagion through the interbank market. Additionally, it is possible to follow the evolution of certain coherent risk measures, like the CVaR, in order to evaluate if the system is becoming more or less risky, in fact, more or less fragile. Additionally, the authors decompose the distribution of losses of the whole banking system into the systemic and the contagion elements and determine if the system is more prone to experience contagious difficulties during a certain period of time.

Author(s):  
Serafin Martinez-Jaramillo ◽  
Calixto Lopez-Castañon ◽  
Fabrizio Lopez-Gallo

By using the proposed framework, it is also possible to perform stress testing in a coherent way, including second round effects like contagion through the interbank market. Additionally, it is possible to follow the evolution of certain coherent risk measures, like the CVaR, in order to evaluate if the system is becoming more or less risky, in fact, more or less fragile. Additionally, the authors decompose the distribution of losses of the whole banking system into the systemic and the contagion elements and determine if the system is more prone to experience contagious difficulties during a certain period of time.


Complexity ◽  
2019 ◽  
Vol 2019 ◽  
pp. 1-12 ◽  
Author(s):  
Shanshan Jiang ◽  
Hong Fan

The increasing frequency and scope of the financial crisis have attracted more attention in the research of the systemic risk of banking system. A new model for the interbank market with overlapping portfolios is proposed to simulate a banking system in this work. The proposed model uses a bipartite network of banks and their assets to analyze the impact of bank investment on the stability of the banking system. In addition, this model introduces investment risk and allows banks to make up for liquidity by selling devaluated assets, which reflects the operating rules of the banking system more realistically. The results show that allowing banks to sell devaluated assets to make up for liquidity can improve the stability of the banking system and the interbank market can also improve the stability of the banking system. For the investment of banks, the investment risk is an uncertain factor that affects the stability of the banking system. The proposed model further analyzes the impact of average investment interest rate, savings interest rate, deposit reserve ratio, and investment asset diversity on the stability of the banking system. The model provides a tool for policy-makers and supervision agencies to prevent the systemic risk of banking system.


2019 ◽  
Vol 19 (322) ◽  
Author(s):  

France is home to numerous banks and insurers which are very active at a global scale. Four Global Systemically Important Banks (G-SIBs) are incorporated in France as well as multiple number of large insurers. Assets of banking system exceed GDP by 2.7 times. Four G-SIBs dominate France’s financial landscape, also taking into account bancassurance (i.e., banking and insurance companies working under financial conglomerate structure) business model they have. Global presence and diversification, integration of banking and insurance activities defined the perimeter and scope of systemic risk assessment (including stress testing) of FSAP. This technical note contributes to the FSAP’s assessment of systemic risk with a comprehensive set of stress testing exercises. The assessment is based on stress tests, which simulate the health of banks, insurers under severe yet plausible (counterfactual) adverse scenarios. Scenarios include global and regional financial market turmoil (shocks to term and risk premiums), a major slowdown of economic activity in Euro Area (EA) and France due to secular stagnation and trade shocks. The analyses include simulations based on solvency and liquidity scenarios.


2021 ◽  
Vol 13 (14) ◽  
pp. 7954
Author(s):  
Tonmoy Choudhury ◽  
Simone Scagnelli ◽  
Jaime Yong ◽  
Zhaoyong Zhang

Systemic risk contagion is a key issue in the banking sector in maintaining financial system stability. This study is among the first few to use three different distance-to-risk measures to empirically assess the domestic interbank linkages and systemic contagion risk of the Chinese banking industry, by using bivariate dynamic conditional correlation GARCH model on data collected from eight prominent Chinese banks for the period 2006–2018. The results show a relatively high correlation among almost all the banks, suggesting an interconnectedness among the banks. We found evidence that the banking system is exposed to significant domestic contagion risks arising from systemic defaults. Given that Chinese markets deliver weak signals of forthcoming stress in banking sectors, new policy intervention is crucial to resolve the hidden stress in the system. The results have important policy implications and will provide scholars and policymakers further insight into the risk contagion originating from interbank networks.


2004 ◽  
Vol 07 (07) ◽  
pp. 909-917 ◽  
Author(s):  
NILS CHR. FRAMSTAD

A stylized market risk model is studied. It turns out that quantifying risk by quantile-VaR, coherent risk measures or other functionals that are positively homogeneous, has a consequence akin to assuming multi-normal returns, namely a two fund separation property. Heuristic arguments indicate that this may be a source of systemic risk to the financial industry.


2018 ◽  
Vol 12 (1) ◽  
pp. 35 ◽  
Author(s):  
Annalisa Di Clemente

This research examines and compares the performances in terms of systemic risk ranking for three different systemic risk metrics based on daily frequency publicly available data, specifically: Marginal Expected Shortfall (ES), Component Expected Shortfall (CES) and Delta Conditional Value-at-Risk (ΔCoVaR). We compute ΔCoVaR, MES and CES by utilizing EVT principles for modelling marginal distributions and Student’s t copula for describing the dependence structure between every bank and the banking system. Our objective is to attest whether different systemic risk metrics detect the same banks as systemically dangerous institutions with refer to a sample of European banks over the time span 2004-2015. For each bank in the sample we also calculate three traditional market risk measures, like Market VaR, Sharpe’s beta and the correlation between every bank and the banking system (European STOXX 600 Banks Index). Another aim is to explore the existence of a link among systemic risk measures and traditional risk metrics. In addition, the classification results obtained by the different risk metrics are compared with the ranking in terms of systemic riskiness (for European banks) calculated by Financial Stability Board (2015) using end-2014 data and collected in its list of Global Systemically Important Banks (G-SIBs). With refer to the entire sample period, we find a good coherence of ranking results among the three different systemic risk metrics, in particular between CES and ΔCoVaR. Moreover, we find for MES and ΔCoVaR a strong linkage with beta and correlation metrics respectively. Finally, CES metric shows the highest level of concordance with the list of G-SIBs by FSB with refer to European banks.


2016 ◽  
Vol 19 (06n07) ◽  
pp. 1650011 ◽  
Author(s):  
TAO XU ◽  
JIANMIN HE ◽  
SHOUWEI LI

In this paper, a dynamic interbank market network model based on bank agent behaviors is developed to analyze financial contagion with counter-party and liquidity channels. Afterwards, we analyze the impact of dynamics on the stability of interbank market and find that dynamics of interbank market could enhance the resilience of the network, which suggests contagion might be overestimated in current studies. Moreover, we investigate the mechanism of contagion when counter-party and liquidity channels are both active in the dynamic interbank market network. Specifically, we analyze the effects of bank capitalization, interbank exposures, liquid assets, and bank credit lending preference on the stability of the banking system, respectively. First, we find that liquidity in interbank market and fluctuations of deposits could amplify the negative impact of each other on the resilience of interbank market network. Second, banks with higher capitalization level tend to be more resilient against financial contagion. Third, interbank exposures may have multiple effects on the resilience of interbank market network. Fourth, the resilience of interbank market network is a nonmonotonic function of percentage of liquid assets. Finally, we discover a complex relationship between bank credit lending preference and the resilience of interbank market.


2019 ◽  
Vol 11 (4) ◽  
pp. 95
Author(s):  
Mario Eboli

This paper focuses on the effects that the concentration of the banking industry has on its exposure to the risk of systemic crises due to direct, balance-sheet financial contagion. Studying three stylized (and analytically tractable) classes of interbank networks – namely the complete, star and ring networks – we show that the magnitude of the smallest insolvency shock that is capable of causing the default of all banks in the system depends on the degree of concentration of the industry. Concerning complete and ring interbank networks, we obtain that the more concentrated the banking system is, the smaller the magnitude of the shock that induces the insolvency of the entire system. That is, concentration renders the banking system more fragile. Conversely, we show that the opposite applies to star interbank networks – i.e. networks composed of a bank at the centre connected to a set of peripheral banks that are not connected among themselves. In this case, the more concentrated the industry, the larger the smallest shock that causes a systemic crisis, i.e. the smaller the exposure to systemic risk.


2021 ◽  
Vol 14 (5) ◽  
pp. 213
Author(s):  
Tomaso Aste

Systemic risk, in a complex system with several interrelated variables, such as a financial market, is quantifiable from the multivariate probability distribution describing the reciprocal influence between the system’s variables. The effect of stress on the system is reflected by the change in such a multivariate probability distribution, conditioned to some of the variables being at a given stress’ amplitude. Therefore, the knowledge of the conditional probability distribution function can provide a full quantification of risk and stress propagation in the system. However, multivariate probabilities are hard to estimate from observations. In this paper, I investigate the vast family of multivariate elliptical distributions, discussing their estimation from data and proposing novel measures for stress impact and systemic risk in systems with many interrelated variables. Specific examples are described for the multivariate Student-t and the multivariate normal distributions applied to financial stress testing. An example of the US equity market illustrates the practical potentials of this approach.


Sign in / Sign up

Export Citation Format

Share Document