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Open AccessJournal ArticleDOI

Stability analysis of financial contagion due to overlapping portfolios

TLDR
In this article, the authors developed a network approach to the amplification of financial contagion due to the combination of overlapping portfolios and leverage, and showed how it can be understood in terms of a generalized branching process.
Abstract
Common asset holdings are widely believed to have been the primary vector of contagion in the recent financial crisis. We develop a network approach to the amplification of financial contagion due to the combination of overlapping portfolios and leverage, and we show how it can be understood in terms of a generalized branching process. This can be used to compute the stability for any particular configuration of portfolios. By studying a stylized model we estimate the circumstances under which systemic instabilities are likely to occur as a function of parameters such as leverage, market crowding, diversification, and market impact. Although diversification may be good for individual institutions, it can create dangerous systemic effects, and as a result financial contagion gets worse with too much diversification. There is a critical threshold for leverage; below it financial networks are always stable, and above it the unstable region grows as leverage increases. Note that our model assumes passive portfolio management during a crisis; however, we show that dynamic deleveraging during a crisis can amplify instabilities. The financial system exhibits “robust yet fragile” behavior, with regions of the parameter space where contagion is rare but catastrophic whenever it occurs. Our model and methods of analysis can be calibrated to real data and provide simple yet powerful tools for macroprudential stress testing.

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Citations
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Journal ArticleDOI

How likely is contagion in financial networks

TL;DR: In this article, the extent to which interconnections increase expected losses and defaults under a wide range of shock distributions is estimated, and the authors highlight the importance of mechanisms that go beyond simple spillover effects to magnify shocks.
Journal ArticleDOI

Contagion in Financial Networks

TL;DR: In this article, the authors review the extensive literature on this issue, with the focus on how network structure interacts with other key variables such as leverage, size, common exposures, and short-term funding.
Book

Dynamical Systems on Networks: A Tutorial

TL;DR: This tutorial should be helpful for junior and senior undergraduate students, graduate students, and researchers from mathematics, physics, and engineering who seek to study dynamical systems on networks but who may not have prior experience with graph theory or networks.
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Cascading Failures in Bi-partite Graphs: Model for Systemic Risk Propagation

TL;DR: In this paper, a cascading failure model was proposed to describe the risk propagation process during crises and empirically test the model with 2007 US commercial banks balance sheet data and compare the model prediction of the failed banks with the real failed banks after 2007.
Journal ArticleDOI

Overlapping portfolios, contagion, and financial stability

TL;DR: In this article, the problem of interacting channels of contagion in financial networks is studied and a stylized model for the Austrian interbank network is proposed to analyze the effect of overlapping portfolio exposures.
References
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Posted Content

Market liquidity and funding liquidity

TL;DR: In this article, the authors provide a model that links an asset's market liquidity and traders' funding liquidity, i.e., the ease with which they can obtain funding, to explain the empirically documented features that market liquidity can suddenly dry up, has commonality across securities, is related to volatility, is subject to flight to quality, and comoves with the market.
Journal ArticleDOI

Market Liquidity and Funding Liquidity

TL;DR: In this article, the authors provide a model that links a security's market liquidity and traders' funding liquidity, i.e., their availability of funds, to explain the empirically documented features that market liquidity can suddenly dry up (i) is fragile), (ii) has commonality across securities, (iii) is related to volatility, and (iv) experiences “flight to liquidity” events.
Journal ArticleDOI

A simple model of global cascades on random networks

TL;DR: It is shown that heterogeneity plays an ambiguous role in determining a system's stability: increasingly heterogeneous thresholds make the system more vulnerable to global cascades; but anincreasingly heterogeneous degree distribution makes it less vulnerable.
Journal ArticleDOI

Critical phenomena in complex networks

TL;DR: A wide range of critical phenomena in equilibrium and growing networks including the birth of the giant connected component, percolation, $k$-core percolations, phenomena near epidemic thresholds, condensation transitions,critical phenomena in spin models placed on networks, synchronization, and self-organized criticality effects in interacting systems on networks are mentioned.
Journal ArticleDOI

Liquidity and Leverage

TL;DR: In a financial system in which balance sheets are continuously marked to market, asset price changes appear immediately as changes in net worth, eliciting responses from financial intermediaries who adjust the size of their balance sheets as mentioned in this paper.
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