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Erschienen in: Journal of Economic Interaction and Coordination 2/2018

13.02.2017 | Regular Article

An agent-based model for financial vulnerability

verfasst von: Richard Bookstaber, Mark Paddrik, Brian Tivnan

Erschienen in: Journal of Economic Interaction and Coordination | Ausgabe 2/2018

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Abstract

This study addresses a critical regulatory shortfall by developing a platform to extend stress testing from a microprudential approach to a dynamic, macroprudential approach. This paper describes the ensuing agent-based model for analyzing the vulnerability of the financial system to asset- and funding-based fire sales. The model captures the dynamic interactions of agents in the financial system extending from the suppliers of funding through the intermediation and transformation functions of the bank/dealers to the financial institutions that use the funds to trade in the asset markets. The model replicates the key finding that it is the reaction to initial losses, rather than the losses themselves, that determine the extent of a crisis. By building on a detailed mapping of the transformations and dynamics of the financial system, the agent-based model provides an avenue toward risk management that can illuminate the pathways for the propagation of key crisis dynamics such as fire sales and funding runs.

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Fußnoten
1
Though we term this agent as a hedge fund, it can more broadly represent other institutional financial firm classes, which have varying degrees of leverage in their portfolio.
 
2
Bigbee et al. (2015).
 
3
See the Supplementary Material for additional results from our robustness testing.
 
4
See Summers et al. (1999) and Bookstaber (2007) for a first-hand account of one path of the contagion over the course of the Russian default to the failure of Long-Term Capital Management.
 
5
The parameter values used in this section are the same as used in Sect. 4.
 
6
Each edge in the network denotes the relational impact of one node, i, on another, j, based on the relationship that exists in the agent-based model, normalized by running the simulation a number of times with variations on each variable. The width of the edge shows the cumulative effect of the transmission with respect to t periods and the n runs of the simulation, and the color of the edge in the figure shows the intensity of the interaction in the current period; a darker color means greater intensity or change in the system relative to other runs and periods observed.
 
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Metadaten
Titel
An agent-based model for financial vulnerability
verfasst von
Richard Bookstaber
Mark Paddrik
Brian Tivnan
Publikationsdatum
13.02.2017
Verlag
Springer Berlin Heidelberg
Erschienen in
Journal of Economic Interaction and Coordination / Ausgabe 2/2018
Print ISSN: 1860-711X
Elektronische ISSN: 1860-7128
DOI
https://doi.org/10.1007/s11403-017-0188-1

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