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Erschienen in: Annals of Finance 3/2017

21.03.2017 | Research Article

Systemic risk measures and macroprudential stress tests: an assessment over the 2014 EBA exercise

verfasst von: Chiara Pederzoli, Costanza Torricelli

Erschienen in: Annals of Finance | Ausgabe 3/2017

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Abstract

Regulators’ stress tests on banks further stimulated an academic debate over systemic risk measures and their predictive content. Focusing on marked based measures, Acharya et al. (Rev Financ Stud 30(1):2–47, 2017) provide a theoretical background to use marginal expected shortfall (MES) for predicting the stress test results, and verify it on the 2009 Supervisory Capital Assessment Program of the US banking system. The aim of this paper is to further test the goodness of MES as a predictive measure, by analysing it in relation to the results of the 2014 European stress tests exercise conducted by the European Banking Authority. Our results underscore the importance of choosing the appropriate index to capture the systemic distress event. In fact MES based on a global market index does not show association with the stress test results, in contrast to Financial MES, which is based on a financial market index, and has a significant information and predictive power.

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Fußnoten
1
In this work we focus on MES and CoVaR but other market-based measures of systemic risk have been recently developed: for example, Black et al. (2016) calculate the Distress Insurance Premium (DIP) for European banks.
 
2
NYU Stern School of Business provides a daily updated estimation of SRISK for US financial institutions (http://​vlab.​stern.​nyu.​edu/​welcome/​risk).
 
3
The associated econometric model is developed in Brownless and Engle (2012).
 
4
Bongini et al. (2015) developed an event study on the impact of the publication of the list of systemically important banks on market prices.
 
5
As suggested in Acharya et al. (2012), market-based measures of systemic risk could also be used to set minimum capital requirements. However, some authors show some scepticism on the use of these measures by regulators. For example, Daniellson et al. (2016), based on a model of regulator’s optimal policy choice, show that a systemic risk measure in order to be useful for regulators should have a degree of reliability far higher than currently available measures such as CoVaR and MES.
 
6
In line with the literature (e.g. Acharya et al. 2017; Adrian and Brunnermeier 2016), VaR and ES are defined here in percentage terms (returns) instead of levels of profit and loss.
 
7
See www.​eba.​europa.​eu for details on scenarios.
 
8
We excluded banks for which daily returns are zero for more than 25% of the dates considered, which resulted in excluding from the sample the following banks: Alpha Bank, Bank of Cyprus, Bank of Valletta, Dexia NV, Hellenic Bank, Lloyd Banking Group plc, Nova Kreditna Banka Maribor, OsterreichischeVolksbanken AG, Permanent tsb.
 
9
For a robustness check we also performed a probit regression obtaining the same results.
 
10
Further we believe that using Leverage as an explanatory variable is not appropriate when the dependent is the loss rate given it is defined over total asset.
 
11
Acharya and Steffen (2014a) compare SRISK estimates both to capital shortfall and total losses from EBA 2014. While there is no correlation with capital shortfall, there is a positive correlation with total losses suggesting that inconsistencies come from the capital ratio used. Our analysis differs in two ways: first we use a binary variable for undercapitalization instead of the absolute size of capital shortfall; second we compare MES and loss rates which are measures size- independent.
 
12
This difference could derive from the design of the EBA stress tests, where feedback effects from the financial sector to the real economy are ignored, while they are captured in market data, as highlighted in Acharya and Steffen (2014a, b).
 
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Metadaten
Titel
Systemic risk measures and macroprudential stress tests: an assessment over the 2014 EBA exercise
verfasst von
Chiara Pederzoli
Costanza Torricelli
Publikationsdatum
21.03.2017
Verlag
Springer Berlin Heidelberg
Erschienen in
Annals of Finance / Ausgabe 3/2017
Print ISSN: 1614-2446
Elektronische ISSN: 1614-2454
DOI
https://doi.org/10.1007/s10436-017-0294-z

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