We propose a method for measuring the systemic importance of interconnected banks. In order to capture contributions to system-wide risk, our measure accounts fully for the extent to which a bank propagates shocks across the system and is vulnerable to propagated shocks. An empirical implementation of this measure and a popular alternative reveals that interconnectedness is a key driver of systemic importance. That said, since the two measures incorporate the impact of interbank borrowing and lending on system-wide risk differently, they can disagree substantially about the systemic importance of individual banks. Keywords: Systemic risk, Shapley values, Interbank marketJEL Classification: C15, G20, G28, L14.* We thank Marek Hlavacek and Jörg Urban for excellent research assistance, Christian Upper and Goetz von Peter for providing us with codes for deriving interbank matrices, and Jeremy Staum and Kostas Tsatsaronis for insightful comments on an earlier draft of the paper. We have also benefited from presentations at the BIS, the Bank of England, the 2011 LSE-Bank of England conference on Systemic Risk and the Geneva Finance Research Institute conference on Financial Networks. The views expressed in this paper are ours and do not necessarily reflect those of the Bank for International Settlements. IntroductionIt is commonly thought that interconnectedness is a key driver of systemic importance. Yet, the literature has produced few concrete insights to support this view. Who is more systemically important -the lender or the borrower in an interbank market transaction? How should the two counterparties share the rise in system-wide risk associated with the interbank link? These fundamental questions remain unanswered despite recent policy initiatives to strengthen the financial system by tightening the regulatory requirements for interconnected banks. 1 To assess whether interconnectedness is indeed a key driver of systemic importance and how it affects different interbank market participants, we propose a measurement methodology and implement it empirically.We measure each bank's systemic importance as its share in the overall level of system-wide risk. And we explore two approaches, which decompose the same quantum of system-wide risk but allocate it differently across individual institutions. Adopting the perspective of a macroprudential regulator, we think of system-wide risk as the expected credit losses that the banking system as a whole may impose on non-banks in systemic events. These events, in turn, are characterised by aggregate losses exceeding a critical level.The first approach measures systemic importance as the expected losses that a bank imposes on its own non-bank creditors in systemic events. This approach equates systemic importance with the expected participation of individual banks in systemic events. Thus, we label it the participation approach (PA).Importantly, a bank's participation in systemic events is conceptually different from its contribution to system-wide risk. Consider, ...
Tools that attribute system-wide risk to individual institutions are key elements of an operational macroprudential approach to financial stability. We propose to measure institutions' systemic importance via an attribution methodology that is based on a game theoretic construct: the Shapley value. This methodology has a number of appealing features. First, owing to weak underlying assumptions, it can be used in conjunction with all popular risk measures. Second, it provides an exact allocation of risk that satisfies a concrete fairness criterion. Third, it accommodates easily uncertainty about model parameters and, more generally, uncertainty about the validity of the risk model.We apply this methodology to a number of stylised banking systems and two risk metrics, value-at-risk and expected shortfall. This allows us to study the interaction of different drivers of systemic importance: size, risk profile and common-risk-factor exposures of individual institutions. We also prove a theorem that, under mild conditions, the systemic importance of an institution increases more than proportionately with its size. An implication of this finding is that a policy intervention calibrated to be proportional to the size of an institution would understate the systemic importance of large firms relative to that of small ones. In addition, we demonstrate how the Shapley value attribution methodology can be used for the calibration of macroprudential capital requirements that have an objective defined at the level of the overall system but are applied at the level of individual institutions. Finally, we argue that different policy tools call for using different applications of the general Shapley value methodology.
This paper illustrates various applications of the BIS international banking statistics. We first compare international bank flows to measures of real activity and liquidity and show that the international banking system is becoming a more important conduit for the transfer of capital across countries. We then use network analysis tools to construct a bird's eye view of the structure of the international banking market and to identify key financial hubs. Linking this information with balance of payments statistics helps to better understand the role of banks in the financing of current account flows, for example the recycling of petrodollars and Asian surpluses. Finally, the paper illustrates how the BIS statistics can be used to analyse internationally active banks' foreign exposures to credit risk and, thus, spot vulnerabilities in the international banking market.
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