This chapter surveys research on agent-based models used in finance. It will concentrate on models where the use of computational tools is critical for the process of crafting models which give insights into the importance and dynamics of investor heterogeneity in many financial settings.

Global games of regime change - coordination games of incomplete information in which a status quo is abandoned once a sufficiently large fraction of agents attacks it - have been used to study crises phenomena such as currency attacks, bank runs, debt crises, and political change. We extend the...

This paper provides a model framework to characterize the process of stochastic learning during the period of divergence from a de jure currency regime. The model outcome shows that divergence from a de jure regime is a process of slow learning in small steps, which indicates that the learning...

Global games of regime change – coordination games of incomplete information in which a status quo is abandoned once a sufficiently large fraction of agents attacks it – have been used to study crises phenomena such as currency attacks, bank runs, debt crises, and political change. We extend...

This paper uses a laboratory experiment to test the predictions of a dynamic global game designed to capture the self-fulfilling nature of speculative attacks. The game has two stages and a large number of heterogeneously informed agents deciding whether to attack the status quo. In the first...

Asian policymakers are giving consideration to allowing their currencies to be used by non-residents. If policy allows this and a robust fixed income market provides support, the Australian experience indicates that a currency can internationalise fairly quickly, particularly if it offers a...