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

2020 ◽  
pp. 2150003
Author(s):  
Sudheer Chava ◽  
Rohan Ganduri ◽  
Vijay Yerramilli

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.

2019 ◽  
Vol 44 ◽  
pp. 58-67
Author(s):  
Anthony A. Meder ◽  
Steven T. Schwartz ◽  
Richard Young

Risks ◽  
2020 ◽  
Vol 8 (1) ◽  
pp. 26
Author(s):  
Veni Arakelian ◽  
Shatha Qamhieh Hashem

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.


2020 ◽  
Author(s):  
Denisa Banulescu-Radu ◽  
Christophe Hurlin ◽  
Jérémy Leymarie ◽  
Olivier Scaillet

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.


2019 ◽  
Vol 11 (1) ◽  
pp. 121-138
Author(s):  
Gonzalo Gomez-Bengoechea ◽  
Alfredo Arahuetes

Purpose This paper aims to provide an empirical analysis of the macroeconomic determinants of sovereign bond yield spreads in the Eurozone from 2000 until August 2012, when the Outright Monetary Transactions programme was launched. Design/methodology/approach The authors constructed an unbalanced panel with quarterly data from 2000 Q1 to 2012 Q2 for the 12 Eurozone countries: Austria, Belgium, Finland, France, Germany, Greece, Ireland, Luxembourg, Italy, The Netherlands, Portugal and Spain. The authors propose a model that explains spreads through the main categories of variables observed in the literature. The relationship between variables is analysed using ordinary least squares and quantile regressions. As discussed by the authors, quantile regressions provide a more precise estimation, given the huge heterogeneity across counties that can be observed in the Eurozone. Findings Results show that the relationship between sovereign risk and macroeconomic fundamentals is affected by a strong country sentiment effect. The impact of country sentiment on sovereign risk is larger for those countries that were already experiencing higher spreads. Regardless the impact that European Central Bank’s (ECB) intervention had on sovereign risk from 2012, quantile regression results suggest that policy recommendations and goals should be adapted to each country’s market perception. Originality/value The results obtained improve on previous findings on this topic (De Grauwe and Ji, 2012) in two ways. First, they show that even introducing every category of determinants found in the literature in the main specification, fundamentals can only partially explain the evolution of sovereign risk in the Eurozone. Second, they find there is a country-sentiment effect that affects the relationship between macroeconomic indicators and sovereign risk. Furthermore, the paper finds that the country-sentiment effect is larger for countries facing high spreads.


VASA ◽  
2020 ◽  
pp. 1-6
Author(s):  
Hanji Zhang ◽  
Dexin Yin ◽  
Yue Zhao ◽  
Yezhou Li ◽  
Dejiang Yao ◽  
...  

Summary: Our meta-analysis focused on the relationship between homocysteine (Hcy) level and the incidence of aneurysms and looked at the relationship between smoking, hypertension and aneurysms. A systematic literature search of Pubmed, Web of Science, and Embase databases (up to March 31, 2020) resulted in the identification of 19 studies, including 2,629 aneurysm patients and 6,497 healthy participants. Combined analysis of the included studies showed that number of smoking, hypertension and hyperhomocysteinemia (HHcy) in aneurysm patients was higher than that in the control groups, and the total plasma Hcy level in aneurysm patients was also higher. These findings suggest that smoking, hypertension and HHcy may be risk factors for the development and progression of aneurysms. Although the heterogeneity of meta-analysis was significant, it was found that the heterogeneity might come from the difference between race and disease species through subgroup analysis. Large-scale randomized controlled studies of single species and single disease species are needed in the future to supplement the accuracy of the results.


2020 ◽  
pp. 27-34
Author(s):  
Vladimir Batiuk

In this article, the ''Cold War'' is understood as a situation where the relationship between the leading States is determined by ideological confrontation and, at the same time, the presence of nuclear weapons precludes the development of this confrontation into a large-scale armed conflict. Such a situation has developed in the years 1945–1989, during the first Cold War. We see that something similar is repeated in our time-with all the new nuances in the ideological struggle and in the nuclear arms race.


Author(s):  
Kenneth R. Vetzal ◽  
Alan V. S. Douglas ◽  
Alan Guoming Huang

Sign in / Sign up

Export Citation Format

Share Document