Multiplex Interbank Networks and Systemic Importance: An Application to European Data

Aldasoro, Iñaki; Alves, Iván

doi:10.2139/ssrn.2603732

Cited by 21 publications

(25 citation statements)

References 33 publications

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“…One feature that makes the financial system fragile according to De Bandt et al (2012) is that there is a 'complex network of exposures among banks'. Interbank network models are clearly able to capture these exposures and they do so at increasing levels of complexity, representing different maturities and instruments at the same time (Aldasoro and Alves, 2015;Montagna and Kok, 2013) and including several contagion channels (Gai and Ka-1 padia, 2010;Glasserman and Young, 2014). The second feature that leads to a fragile financial system is that the maturity transformation activity performed by banks makes the structure of the bank's balance sheet matter.…”

Section: Introductionmentioning

confidence: 99%

Too interconnected to fail: a survey of the interbank networks literature

Hüser¹

2015

JNTF

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A network approach to banking is particularly important for assessing financial stability and systemic risk. This approach can be instrumental in capturing the externalities that the risk associated with a single institution may create for the entire system. Indeed, from a financial stability perspective, banks should neither be too-big-to-fail nor too-interconnected-to-fail. A better understanding of network externalities may facilitate the adoption of a macroprudential framework for financial supervision. Network externalities arise when risk-taking behavior of individual institutions affects other institutions and the system as a whole. To guide policy it becomes necessary, in this context, to measure the systemic importance of individual banks, i.e. their capacity to generate contagion in the rest of the system. The analysis of interbank networks can provide this guidance.Against this background we review the literature on interbank networks, which is part of a growing literature on financial networks. The broader financial networks literature is analyzing connections between financial institutions: banks, but also hedge funds, insurance companies, etc. We restrict the survey's focus on the interbank network literature. This survey presents a systematic overview of our current understanding of the structure of interbank networks, of how network characteristics affect contagion in the banking system and of how banks form connections when faced with the possibility of contagion and systemic risk. In particular, we highlight how the theoretical literature on interbank networks offers a coherent way of studying interconnections, contagion processes and systemic risk, while emphasizing at the same time the many challenges that must be addressed before general results on the link between the structure of the interbank network and financial stability can be established.The theoretical literature has generated a number of insights on the effect of the network structure on contagion. A first result is that the number and magnitude of defaults depend on the network topology. There is now substantial research characterizing those structures that tend to propagate default or alternatively that tend to dampen it. An avenue for further research is to have more realistic network structures on which to analyze contagion. Since empirical studies now provide an increasing number of stylized facts on the interbank network topology, research needs to move beyond deriving results on random networks or on overly simplified structures. Furthermore, the fragility of the system depends on the location in the network of the institution that was initially affected. Intuitively, the failure of core banks is more damaging than the failure of a periphery bank. Finally, another main finding is that there is a trade-off between risk sharing via linkages to other banks and contagion risk due to too many linkages. While the existence of the trade-off is not disputed, there is no consensus on whether a complete network dampens or fuels contag...

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Section: Introductionmentioning

confidence: 99%

Too interconnected to fail: a survey of the interbank networks literature

Hüser¹

2015

JNTF

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“…We therefore contribute to the nascent literature on multilayer networks 4 , where we are the first to distill such a granular seniority structure based on actual exposures. Other breakdowns in the literature include for example maturity, instruments as well as the secured or unsecured nature of the transaction (Aldasoro and Alves, 2015;Langfield et al, 2014;Montagna and Kok, 2016). The main takeaway from the multilayer networks literature at this stage is that it is important to differentiate the layers of the network, since both topology and contagion processes can be different between layers.…”

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confidence: 99%

The systemic implications of bail-in: A multi-layered network approach

Hüser

Hałaj

Kok

et al. 2018

Journal of Financial Stability

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Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. www.econstor.eu Terms of use: Documents in Working Paper SeriesThe systemic implications of bail-in: a multi-layered network approach No 2010 / February 2017January 13, 2017 AbstractWe present a tractable framework to assess the systemic implications of bail-in. To this end, we construct a multi-layered network model where each layer represents the securities crossholdings of a specific seniority among the largest euro area banking groups. On this basis, the bail-in of a bank can be simulated to identify the direct contagion risk to the other banks in the network. We find that there is no direct contagion to creditor banks. Spill-overs also tend to be small due to low levels of securities cross-holdings in the interbank network. We also quantify the impact of a bail-in on the different liability holders. In the baseline scenario, shareholders and subordinated creditors are always affected by the bail-in, senior unsecured creditors in 75% of the cases. Finally, we compute the effect of the bail-in on the network topology in each layer.We find that a bail-in significantly reshapes interbank linkages within specific seniority layers.

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“…In the financial economic literature network analysis has mostly been applied to payment systems, interbank lending markets, and more recently extended to capture the mutual exposure of financial institutions to other asset classes, including derivatives contracts, in a multilayer networks framework (Bargigli et al (2015), Leon et al (2014), Molina-Borboa et al (2015), Aldasoro and Alves (2015), Poledna et al (2015)). …”

Section: Network Centrality and Interbank Marketsmentioning

confidence: 99%

Network centrality and funding rates in the e-MID interbank market

Temizsoy

Iori

Montes‐Rojas

2017

Journal of Financial Stability

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This paper empirically investigates the role of banks' network centrality in the interbank market on their funding rates. Specifically we analyze transaction data from the e-MID market, the only electronic interbank market in the Euro Area and US, over the period [2006][2007][2008][2009] that encompasses the global financial crisis. We show that interbank spreads are significantly affected by both local and global measures of connectedness. The effects of network centrality increased as the financial crisis evolved. Local measures show that having more links increases borrowing costs for borrowers and reduces premia for lenders. For global network centrality, borrowers receive a significant discount if they increase their intermediation activity and become more central, while lenders pay in general a premium (i.e. receive lower rates) for centrality. This provides evidence of the 'too-interconnected-to-fail' hypothesis.

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Multiplex Interbank Networks and Systemic Importance: An Application to European Data

Cited by 21 publications

References 33 publications

Too interconnected to fail: a survey of the interbank networks literature

Too interconnected to fail: a survey of the interbank networks literature

The systemic implications of bail-in: A multi-layered network approach

Network centrality and funding rates in the e-MID interbank market

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