AbstractWe 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...
Effective risk control must make a tradeoff between the microprudential risk of exogenous shocks to ...
Financial crises are anticipated by leverage build-up and asset price booms and followed by sharp de...
In this paper we build on the network-based financial accelerator model of Delli Gatti et al. (2010)...
AbstractWe present a simple agent-based model of a financial system composed of leveraged investors ...
We investigate a simple dynamical model for the systemic risk caused by the use of Value-at-Risk, as...
We investigate a simple dynamical model for the systemic risk caused by the use of Value-at-Risk, as...
We create an agent-based banking model that allows the simulationof leverage cycles and financial co...
AbstractWe investigate a simple dynamical model for the systemic risk caused by the use of Value-at-...
We review the theory of leverage developed in collateral equilibrium models with incomplete markets....
We study the cyclical fluctuations of leverage and assets of financial intermediaries and GDP in the...
This thesis studies systemic risk in financial markets and how it emerges through dynamical and stru...
Equilibrium determines leverage, not just interest rates. Variations in leverage cause fluctuations ...
Upon extensively reviewing the theoretical literature dealing with financial frictions embedded in m...
Yale University professor John Geanakoplos discusses implications of “the leverage cycle”—a phenomen...
We merge a financial market model with leverage-constrained, heterogeneous agents with a reduced-for...
Effective risk control must make a tradeoff between the microprudential risk of exogenous shocks to ...
Financial crises are anticipated by leverage build-up and asset price booms and followed by sharp de...
In this paper we build on the network-based financial accelerator model of Delli Gatti et al. (2010)...
AbstractWe present a simple agent-based model of a financial system composed of leveraged investors ...
We investigate a simple dynamical model for the systemic risk caused by the use of Value-at-Risk, as...
We investigate a simple dynamical model for the systemic risk caused by the use of Value-at-Risk, as...
We create an agent-based banking model that allows the simulationof leverage cycles and financial co...
AbstractWe investigate a simple dynamical model for the systemic risk caused by the use of Value-at-...
We review the theory of leverage developed in collateral equilibrium models with incomplete markets....
We study the cyclical fluctuations of leverage and assets of financial intermediaries and GDP in the...
This thesis studies systemic risk in financial markets and how it emerges through dynamical and stru...
Equilibrium determines leverage, not just interest rates. Variations in leverage cause fluctuations ...
Upon extensively reviewing the theoretical literature dealing with financial frictions embedded in m...
Yale University professor John Geanakoplos discusses implications of “the leverage cycle”—a phenomen...
We merge a financial market model with leverage-constrained, heterogeneous agents with a reduced-for...
Effective risk control must make a tradeoff between the microprudential risk of exogenous shocks to ...
Financial crises are anticipated by leverage build-up and asset price booms and followed by sharp de...
In this paper we build on the network-based financial accelerator model of Delli Gatti et al. (2010)...