2016Advances in Complex SystemsRequires access

CONTAGION IN HETEROGENEOUS FINANCIAL NETWORKS

Yuanying Guan, Micah Pollak

Open publisher page 4 citations

Abstract

In this paper, we use the financial network contagion model of Gai P. and Kapadia S. [Contagion in financial networks, Proc. R. Soc. A 466 (2010) 2401–2423] to investigatethe interaction of several types of heterogeneity found in real world banking systems. The first source of heterogeneity originates in the distribution of assets across banks in the financial system. The second source is in how individual banks then distribute these assets among their neighbors. We characterize how these two sources of heterogeneity interact to affect the probability and extent of financial contagions in three network structures. We find that greater heterogeneity has a stabilizing effect for networks that are sparsely connected and a destabilizing effect for networks that are highly interconnected. Finally, we consider multiple sequential shocks and find that when banks redistribute assets following an initial mild contagion it increases the stability, on average, of the system to subsequent shocks originating at weakened banks.

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What this paper is about

In this paper, we use the financial network contagion model of Gai P. and Kapadia S. [Contagion in financial networks, Proc. R. Soc. A 466 (2010) 2401–2423] to investigatethe interaction of several types of heterogeneity found in real world banking systems. The first source of heterogeneity originates in the distribution of assets across banks in the financial system. The second source is in how individual banks then distribute these assets among their neighbors. We characterize how these two sources of heterogeneity interact to affect the probability and extent of financial contagions in three network structures. We find that greater heterogeneity has a stabilizing effect for networks that are sparsely connected and a destabilizing effect for networks that are highly interconnected. Finally, we consider multiple sequential shocks and find that when banks redistribute assets following an initial mild contagion it increases the stability, on average, of the system to subsequent shocks originating at weakened banks.

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Available abstract

In this paper, we use the financial network contagion model of Gai P. and Kapadia S. [Contagion in financial networks, Proc. R. Soc. A 466 (2010) 2401–2423] to investigatethe interaction of several types of heterogeneity found in real world banking systems. The first source of heterogeneity originates in the distribution of assets across banks in the financial system. The second source is in how individual banks then distribute these assets among their neighbors. We characterize how these two sources of heterogeneity interact to affect the probability and extent of financial contagions in three network structures. We find that greater heterogeneity has a stabilizing effect for networks that are sparsely connected and a destabilizing effect for networks that are highly interconnected. Finally, we consider multiple sequential shocks and find that when banks redistribute assets following an initial mild contagion it increases the stability, on average, of the system to subsequent shocks originating at weakened banks.

Key concepts: Financial networks, Financial contagion, Econometrics, Monetary economics, Economics, Stability (learning theory), Business, Computer science

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