Liquidity Hoarding in Financial Networks: The Role of Structural Uncertainty

The dynamics of confidence affect a plethora of financial phenomena including liquidity hoarding. We present a multiagent model of a financial network in which confidence dynamics are shaped by structural uncertainty—that is, the lack of knowledge about the network of interbank cross-exposures. Duri...

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Main Authors: Stojan Davidovic, Amit Kothiyal, Mirta Galesic, Konstantinos Katsikopoulos, Nimalan Arinaminpathy
Format: Article
Language:English
Published: Hindawi-Wiley 2019-01-01
Series:Complexity
Online Access:http://dx.doi.org/10.1155/2019/8436505
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spelling doaj-06d56a5068f24f5c9fa7d7bb4f01e1c72020-11-25T01:17:56ZengHindawi-WileyComplexity1076-27871099-05262019-01-01201910.1155/2019/84365058436505Liquidity Hoarding in Financial Networks: The Role of Structural UncertaintyStojan Davidovic0Amit Kothiyal1Mirta Galesic2Konstantinos Katsikopoulos3Nimalan Arinaminpathy4Max Planck Institute for Human Development, Center for Adaptive Behavior and Cognition, Berlin, GermanyMax Planck Institute for Human Development, Center for Adaptive Behavior and Cognition, Berlin, GermanyMax Planck Institute for Human Development, Center for Adaptive Behavior and Cognition, Berlin, GermanyMax Planck Institute for Human Development, Center for Adaptive Behavior and Cognition, Berlin, GermanyFaculty of Medicine, School of Public Health, Imperial College London, London, UKThe dynamics of confidence affect a plethora of financial phenomena including liquidity hoarding. We present a multiagent model of a financial network in which confidence dynamics are shaped by structural uncertainty—that is, the lack of knowledge about the network of interbank cross-exposures. During a financial crisis, structural uncertainty makes it difficult for banks to assess the risk of financial contagion and their own health. Under such conditions, banks are more likely to behave conservatively and quickly act on information they receive from their local environment. A sudden financial shock, therefore, can be characterized by high-intensity local impact on confidence. We find that such local impacts quickly spread throughout the network, causing more damage than a shock that evenly affects all localities in the system; for example, a complete breakdown of the system occurs with a higher probability. The results are explained analytically by linking system performance to the speed of decrease in confidence.http://dx.doi.org/10.1155/2019/8436505
collection DOAJ
language English
format Article
sources DOAJ
author Stojan Davidovic
Amit Kothiyal
Mirta Galesic
Konstantinos Katsikopoulos
Nimalan Arinaminpathy
spellingShingle Stojan Davidovic
Amit Kothiyal
Mirta Galesic
Konstantinos Katsikopoulos
Nimalan Arinaminpathy
Liquidity Hoarding in Financial Networks: The Role of Structural Uncertainty
Complexity
author_facet Stojan Davidovic
Amit Kothiyal
Mirta Galesic
Konstantinos Katsikopoulos
Nimalan Arinaminpathy
author_sort Stojan Davidovic
title Liquidity Hoarding in Financial Networks: The Role of Structural Uncertainty
title_short Liquidity Hoarding in Financial Networks: The Role of Structural Uncertainty
title_full Liquidity Hoarding in Financial Networks: The Role of Structural Uncertainty
title_fullStr Liquidity Hoarding in Financial Networks: The Role of Structural Uncertainty
title_full_unstemmed Liquidity Hoarding in Financial Networks: The Role of Structural Uncertainty
title_sort liquidity hoarding in financial networks: the role of structural uncertainty
publisher Hindawi-Wiley
series Complexity
issn 1076-2787
1099-0526
publishDate 2019-01-01
description The dynamics of confidence affect a plethora of financial phenomena including liquidity hoarding. We present a multiagent model of a financial network in which confidence dynamics are shaped by structural uncertainty—that is, the lack of knowledge about the network of interbank cross-exposures. During a financial crisis, structural uncertainty makes it difficult for banks to assess the risk of financial contagion and their own health. Under such conditions, banks are more likely to behave conservatively and quickly act on information they receive from their local environment. A sudden financial shock, therefore, can be characterized by high-intensity local impact on confidence. We find that such local impacts quickly spread throughout the network, causing more damage than a shock that evenly affects all localities in the system; for example, a complete breakdown of the system occurs with a higher probability. The results are explained analytically by linking system performance to the speed of decrease in confidence.
url http://dx.doi.org/10.1155/2019/8436505
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AT mirtagalesic liquidityhoardinginfinancialnetworkstheroleofstructuraluncertainty
AT konstantinoskatsikopoulos liquidityhoardinginfinancialnetworkstheroleofstructuraluncertainty
AT nimalanarinaminpathy liquidityhoardinginfinancialnetworkstheroleofstructuraluncertainty
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