The dynamics of the leverage cycle

TL;DR

This paper introduces an agent-based model of financial leverage dynamics, showing how pro-cyclical leverage leads to endogenous oscillations and how countercyclical policies can stabilize markets.

Contribution

It provides a simplified, flexible framework to understand leverage cycles and explores policy measures to mitigate systemic risk caused by leverage fluctuations.

Findings

Countercyclical leverage policies can eliminate endogenous oscillations.

Leverage ceilings influence stability and can be adjusted to prevent instability.

Dynamic risk controls can reduce leverage cycle amplitude, depending on parameter choices.

Abstract

We present a simple agent-based model of a financial system composed of leveraged investors such as banks that invest in stocks and manage their risk using a Value-at-Risk constraint, based on historical observations of asset prices. The Value-at-Risk constraint implies that when perceived risk is low, leverage is high and vice versa, a phenomenon that has been dubbed pro-cyclical leverage. We show that this leads to endogenous irregular oscillations, in which gradual increases in stock prices and leverage are followed by drastic market collapses, i.e. a leverage cycle. This phenomenon is studied using simplified models that give a deeper understanding of the dynamics and the nature of the feedback loops and instabilities underlying the leverage cycle. We introduce a flexible leverage regulation policy in which it is possible to continuously tune from pro-cyclical to countercyclical leverage. When the policy is sufficiently countercyclical and bank risk is sufficiently low the endogenous oscillation disappears and prices go to a fixed point. While there is always a leverage ceiling above which the dynamics are unstable, countercyclical leverage can be used to raise the ceiling. We also study the impact on leverage cycles of direct, temporal control of the bank's riskiness via the bank's required Value-at-Risk quantile. Under such a rule the regulator relaxes the Value-at-Risk quantile following a negative stock price shock and tightens it following a positive shock. While such a policy rule can reduce the amplitude of leverage cycles, its effectiveness is highly dependent on the choice of parameters. Finally, we investigate fixed limits on leverage and show how they can control the leverage cycle.