scholarly journals The Leaders, the Laggers, and the “Vulnerables”

Risks ◽  
2020 ◽  
Vol 8 (1) ◽  
pp. 26
Author(s):  
Veni Arakelian ◽  
Shatha Qamhieh Hashem
Keyword(s):  
Financial Crisis ◽  
Bayesian Network ◽  
Financial Institutions ◽  
Systemic Risk ◽  
Expected Shortfall ◽  
Risk Indicators ◽  
Network Structures ◽  
Lag Effect ◽  
Marginal Expected Shortfall ◽  
The Individual

We examine the lead-lag effect between the large and the small capitalization financial institutions by constructing two global weekly rebalanced indices. We focus on the 10% of stocks that “survived” all the rebalancings by remaining constituents of the indices. We sort them according to their systemic importance using the marginal expected shortfall (MES), which measures the individual institutions’ vulnerability over the market, the network based MES, which captures the vulnerability of the risks generated by institutions’ interrelations, and the Bayesian network based MES, which takes into account different network structures among institutions’ interrelations. We also check if the lead-lag effect holds in terms of systemic risk implying systemic risk transmission from the large to the small capitalization, concluding a mixed behavior compared to the index returns. Additionally, we find that all the systemic risk indicators increase their magnitude during the financial crisis.

scholarly journals Backtesting Marginal Expected Shortfall and Related Systemic Risk Measures

2020 ◽  
Author(s):  
Denisa Banulescu-Radu ◽  
Christophe Hurlin ◽  
Jérémy Leymarie ◽  
Olivier Scaillet
Keyword(s):  
At Risk ◽  
Financial Institutions ◽  
Systemic Risk ◽  
Value At Risk ◽  
Risk Measures ◽  
Risk Measure ◽  
Expected Shortfall ◽  
Conditional Value At Risk ◽  
Finite Sample ◽  
Marginal Expected Shortfall

This paper proposes an original approach for backtesting systemic risk measures. This backtesting approach makes it possible to assess the systemic risk measure forecasts used to identify the financial institutions that contribute the most to the overall risk in the financial system. Our procedure is based on simple tests similar to those generally used to backtest the standard market risk measures such as value-at-risk or expected shortfall. We introduce a concept of violation associated with the marginal expected shortfall (MES), and we define unconditional coverage and independence tests for these violations. We can generalize these tests to any MES-based systemic risk measures such as the systemic expected shortfall (SES), the systemic risk measure (SRISK), or the delta conditional value-at-risk ([Formula: see text]CoVaR). We study their asymptotic properties in the presence of estimation risk and investigate their finite sample performance via Monte Carlo simulations. An empirical application to a panel of U.S. financial institutions is conducted to assess the validity of MES, SRISK, and [Formula: see text]CoVaR forecasts issued from a bivariate GARCH model with a dynamic conditional correlation structure. Our results show that this model provides valid forecasts for MES and SRISK when considering a medium-term horizon. Finally, we propose an early warning system indicator for future systemic crises deduced from these backtests. Our indicator quantifies how much is the measurement error issued by a systemic risk forecast at a given point in time which can serve for the early detection of global market reversals. This paper was accepted by Kay Giesecke, finance.

scholarly journals Do Bond Investors Price Tail Risk Exposures of Financial Institutions?

2020 ◽  
pp. 2150003
Author(s):  
Sudheer Chava ◽  
Rohan Ganduri ◽  
Vijay Yerramilli
Keyword(s):  
Financial Institutions ◽  
Large Scale ◽  
Expected Shortfall ◽  
Bond Markets ◽  
Tail Risk ◽  
Yield Spreads ◽  
Depository Institutions ◽  
Bond Yield ◽  
Marginal Expected Shortfall ◽  
The Relationship

We analyze whether bond investors price tail risk exposures of financial institutions using a comprehensive sample of bond issuances by U.S. financial institutions. Although primary bond yield spreads increase with an institution’s own tail risk (expected shortfall), systematic tail risk (marginal expected shortfall) of the institution doesn’t affect its yields. The relationship between yield spreads and tail risk is significantly weaker for depository institutions, large institutions, government-sponsored entities, politically-connected institutions, and in periods following large-scale bailouts of financial institutions. Overall, our results suggest that implicit bailout guarantees of financial institutions can exacerbate moral hazard in bond markets and weaken market discipline.

scholarly journals SYSTEMIC RISK IN TAIWAN STOCK MARKET

2012 ◽  
Vol 13 (5) ◽  
pp. 895-914 ◽  
Author(s):  
Her-Jiun Sheu ◽  
Chien-Ling Cheng
Keyword(s):  
Financial Crisis ◽  
Stock Market ◽  
Systemic Risk ◽  
Financial Crises ◽  
Idiosyncratic Risk ◽  
Risk Indicators ◽  
2008 Financial Crisis ◽  
Independent Variables ◽  
The Impact ◽  
Dot Com

Recent financial crises resulted from systemic risk caused by idiosyncratic distress. In this research, taking Taiwan stock market as an example and collecting data from 2000 to 2010 which contained the 2001 dot-com bubble and the 2007–2009 financial crisis, we adopt the CoVaR model to empirically explore the impact of sector-specific idiosyncratic risk on the systemic risk of the system and attempt to investigate the links between financial crises, systemic risk and the idiosyncratic risk of a sector-specific anomaly. The result showed sector-specific marginal CoVaR, i.e., ΔCoVaR, perfectly explained Taiwan stock market disturbance during the 2001 dot-com bubble and 2007–2008 financial crisis. Thus, by identifying the larger ΔCoVaR sectors, i.e. the systemic importance sectors, and by exploring the risk indicators, independent variables, of these systemic importance sectors, investors could practically employ the sector-specific ΔCoVaR measure to deepen the systemic risk scrutiny from a macro into a micro prudential perspective.

scholarly journals Cyclical Patterns of Systemic Risk Metrics

2021 ◽  
Vol 21 (28) ◽  
Author(s):  
Plamen Iossifov ◽  
Tomas Dutra Schmidt
Keyword(s):  
Financial Crisis ◽  
Systemic Risk ◽  
Global Financial Crisis ◽  
Policy Implications ◽  
Risk Indicators ◽  
Stress Indicators ◽  
Composite Indices ◽  
Credit Cycle ◽  
Run Up ◽  
High Level

We analyze a range of macrofinancial indicators to extract signals about cyclical systemic risk across 107 economies over 1995–2020. We construct composite indices of underlying liquidity, solvency and mispricing risks and analyze their patterns over the financial cycle. We find that liquidity and solvency risk indicators tend to be counter-cyclical, whereas mispricing risk ones are procyclical, and they all lead the credit cycle. Our results lend support to high-level accounts that risks were underestimated by stress indicators in the run-up to the 2008 global financial crisis. The policy implications of conflicting risk signals would depend on the phase of the credit cycle.

scholarly journals Financial Market and Inflation

2020 ◽  
Vol 12 (6) ◽  
pp. 90
Author(s):  
Yuqing Qi
Keyword(s):  
Systemic Risk ◽  
Predictive Accuracy ◽  
Predictive Ability ◽  
Two Dimensions ◽  
Risk Indicators ◽  
Risk Level ◽  
Individual Risk ◽  
Inflation Risk ◽  
The Future ◽  
The Individual

Based on two dimensions of system risk, this paper studies the changes in the future inflation risk level, and uses the out-of-sample quantile R2  to further evaluate the predictive accuracy of different systemic risk indicators on inflation risk. Firstly, we compute two systemic risk indicators, MES and volatility, with data of Chinese financial institutions. And then we explore the amplification effect of these indicators on future inflation risk, under the framework of quantile regression. We find that systematic risk indicators have a strong predictive ability for the inflation level at various quantiles. MES indicator that reflects individual risk can better predict future deflation risk, while volatility index has a stronger ability to predict inflation risk. We also find that systemic risk indicators of different dimensions have different effects on inflation risk and deflation risk. In general, the MES index, which captures the individual risk of the organization, have a greater impact on the future inflation risk. While indicator that measures volatility in financial markets has more influence on the extreme lower tail of inflation rates. Finally, we predict the distribution of inflation in China from March 2020 to June 2021, and visually show the distribution trend of future inflation with forecast fan charts.

scholarly journals The limits of ignorance – financial literacy and the corporate responsibilization to the business of life

2015 ◽  
Vol 19 (2) ◽  
Author(s):  
Erik Højbjerg
Keyword(s):  
Financial Crisis ◽  
Financial Institutions ◽  
Financial Literacy ◽  
Life Skills ◽  
Global Financial Crisis ◽  
Private Enterprise ◽  
Ordinary Citizen ◽  
Individual Citizen ◽  
The Individual

AbstractHow do corporations seek to construe and mobilize responsible consumers by offering products and services, the consumption of which are assumed to transform the individual’s self-relationship along proclaimed ethical and political goals? In the aftermath of the 2008 global financial crisis, increasing the financial literacy of ordinary citizen-consumers has taken a prominent position among regulators and financial institutions alike. The logic seems to be that financially capable individuals will enjoy social and political inclusion as well as an ability to exercise a stronger influence in markets. The article specifically contributes to our understanding of the governmentalization of the present by addressing how - at least in part - the corporate spread of financial literacy educational initiatives can be observed as a particular form of power at-a-distance responsibilizing the consumer. The focus is on the role of private enterprise in governmentalizing the business of life by establishing and mobilizing specific conceptual forms around which the life skills of the entrepreneurial self involves a responsibilization of the individual citizen-consumer.

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