Abstract

We study the effects of delivering a shock to a complex system comprising components (‘agents’) that interact in a pairwise fashion, independent of other parts of the system and with no central control. There are three aspects to the contribution of this paper. First, shock propagation in a network is developed purely from fundamental principles of complex systems. Second, systemic risk is shown to arise naturally in such a complex system. If a shock is delivered either to one agent or to many agents simultaneously, that shock may be transmitted further, thereby resulting in systemic risk. Third, the monetary loss to the entire system as a result of systemic shock is quantified. Simulations are used to study two particular characteristics of the interactions. The first is the resistance or susceptibility of individual agents to a shock. The second is the time it takes for the shock to affect the entire system. The results show that if a shock is applied to all agents in a network, the systemic effect of that shock is transmitted very quickly. Applying a shock to very few agents results only in an idiosyncratic effect. If an agent can transmit the shock further, a systemic effect will result. The recovery period for agents affected by a systemic shock can be orders of magnitude greater than the time taken for the shock to take effect. The overall effect of the shock on the system is quantified by formulating a ‘contagion index’, which measures the ratio of the total capital lost due to the systemic effect to the total capital before the shock was delivered. The result (approximately 7%) is consistent with other studies, but is more widely applicable because it is not based on one empirical data set.

Highlights

  • The purpose of this research is to study financial systemic risk within the context of a complex system

  • This model differs from previous models of systemic risk because it is based purely on the principles of agent-pair interactions, which lead to complexity

  • We propose an equivalent but different Contagion Index measure, which calculates the ratio of capital lost due to the systemic effect, to the capital before the shock was delivered

Read more

Summary

Introduction

The purpose of this research is to study financial systemic risk within the context of a complex system. We mean the former and will link it to financial systemic risk and contagion. The above text goes on to distinguish a ‘systemic’ effect from an ‘idiosyncratic’ effect The former is an effect that is common within an entire system, whereas the latter is limited to a single or a few parts of the system. Emergent behaviour in the form of a systemic effect follows naturally from those interactions. 4 of this paper will demonstrate the systemic effect of introducing a shock into a complex system. This point will be amplified in Sect. The behaviour of individual agents within the system is not

Structure of this paper
The link between complex systems and systemic risk
Agent interaction: definition and notation
Previous work on complex systems and systemic risk
The link between systemic risk and complexity
Measurement and detection of systemic effects
Mechanisms for transmitting systemic effects
Markov models for credit default
Systemic risk and contagion models
Systemic effect models: variations
Which banks are systemically important?
Form a vector Xt of bond prices and economic measures
Models of population dynamics
Agent-based optimisation algorithms
Complexity and systemic risk: methodology
Network considerations
A mathematical framework for complexity
Agent interaction
State of a group of agents
Shock mechanism
Recovery post shock
Soft recovery
Systemic contagion index
Hard recovery
Algorithm index 1
Calculate the mean values of the Km and the cm:
Parameter values
Shock delivered to a single agent
Systemic external shock
Simulation results: general findings
Examples of shock delivery: financial data
Contagion index results
Comparison with results from the Cont analysis
Recovery statistics
Contagion volatility results
Findings
Compliance with ethical standards
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call