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Financial institutions are connected to each other by a series of bilateral transactions. In normal times, institutions' connections may result in efficient risk transfer. But in crises, connections can facilitate contagion - as initial problems lead to chains of defaults and liquidity shortages - sparked by shocks which might arise within the financial system or from the real economy. Institutions are also interconnected in indirect ways, since they are exposed to common risk factors that can result in concurrent losses. For example, most banks extend loans secured by real estate: they are thus collectively exposed to falls in house prices. Resulting bank distress can then exacerbate initial problems: banks might simultaneously sell collateral (houses), thus worsening downward price spirals. Less tangibly, institutions can also be connected through perceptions of counterparties' creditworthiness. Given uncertainty, financial institutions may in general become reluctant to lend to each other and hoard liquidity. Potential for contagion due to interconnectedness is a key component of systemic risk. As a first step towards understanding the mechanisms of contagion, this paper abstracts from complex indirect connections between banks, and rather focuses on direct linkages between 53 large EU banks, based on unique data on interbank exposures collected by national regulators as of the end of 2011.

Assessing the stability of the financial sector is becoming more common in many countries. This paper presents two useful approaches, applied to the Netherlands. First we discuss the results of a contagion analysis of the Dutch interbank market. We use various ways to measure linkages between banks and find that the interbank market is fairly robust. We then turn to a network analysis of payment flows between Dutch banks. This analysis provides us with a better understanding of the network structure in this type of market. We specifically look at the effect of the recent turmoil on the payment network and find no significant changes.

We investigate interlinkages and contagion risks in the Dutch interbank market. Based on several data sources, including survey data, we estimate the exposures in the interbank market at bank level. Next, we perform a scenario analysis to measure contagion risks. We find that the bankruptcy of one of the large banks will put a considerable burden on the other banks but will not lead to a complete collapse of the interbank market. The exposures to foreign counterparties are large and warrant further research. An important contribution of this paper is that we show, using survey data, that the entropy estimation using large exposures data as applied in many previous papers gives an adequate approximation of the actual linkages between banks. Hence, this methodology does not seem to introduce a bias.

We investigate interlinkages and contagion risks in the Dutch interbank market. Based on several data sources, including the answers of banks to a questionnaire, we estimate the exposures in the interbank market at bank level. Next, we perform a scenario analysis to measure contagion risks. We find that the bankruptcy of one of the large banks will put a considerable burden on the other banks, but will not lead to a complete collapse of the interbank market. The contagion effects of the failure of a smaller bank are limited. The exposures to foreign counterparties are large and warrant further research. An important contribution of this paper is that we show, using survey data, that the entropy estimation using large exposures data as applied in many previous papers gives an adequate approximation of the actual linkages between banks. Hence, this methodology does not seem to introduce a bias.