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A Network Theory of Financial Cascades


Michael Naylor


Massey University - School of Economics and Finance

Lawrence C. Rose


Massey University

Brendan J. Moyle


Massey University - Department of Commerce

July 29, 2008


Abstract:     
International financial markets instability, as exhibited by persistent periodic crises, is a concern for all market participants. This paper presents an alternative theory of financial crises using recent developments in network theory. Simulation is used to apply the theory to short-term currency crises. The simulated model, despite being parsimonious, is capable of generating non-Gaussian complex outcomes, including cascades. Crisis dynamics are shown to be predominately generated by the pattern of inter-agent linkages and agent characteristics.

We conclude use of agent-based complex network models will improve understanding of the dynamics of market crises and should form part of financial dynamic analysis. While periodic crises may be inevitable, we argue market participants may be able to use knowledge of topology to reduce losses from future crises.

Number of Pages in PDF File: 33

Keywords: Information cascades, foreign exchange dynamics, complex networks, heterogeneous agents, simulation, financial risk

JEL Classification: C15, F31, G12

working papers series


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Date posted: July 29, 2008  

Suggested Citation

Naylor, Michael, Rose, Lawrence C. and Moyle, Brendan J., A Network Theory of Financial Cascades (July 29, 2008). Available at SSRN: http://ssrn.com/abstract=1184604 or http://dx.doi.org/10.2139/ssrn.1184604

Contact Information

Michael Naylor (Contact Author)
Massey University - School of Economics and Finance ( email )
Private Bag 11-222
Palmerston North, 30974
New Zealand
Lawrence (Larry) Craig Rose
Massey University ( email )
Private Bag 102-904
North Shore Mail Centre
Auckland, 0745
New Zealand
+64 9 4140800, ex 9558 (Phone)
+64 9 441 8150 (Fax)
Brendan J. Moyle
Massey University - Department of Commerce ( email )
Auckland
New Zealand
Feedback to SSRN (Beta)


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