scholarly journals A Weissman-type estimator of the conditional marginal expected shortfall

Author(s):  
Yuri Goegebeur ◽  
Armelle Guillou ◽  
Nguyen Khanh Le Ho ◽  
Jing Qin
2019 ◽  
Vol 53 ◽  
pp. 33-52 ◽  
Author(s):  
Maite De Sola Perea ◽  
Peter G. Dunne ◽  
Martin Puhl ◽  
Thomas Reininger

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.


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.


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