Skip to main content Accessibility help
×
Hostname: page-component-848d4c4894-xfwgj Total loading time: 0 Render date: 2024-06-17T11:21:54.778Z Has data issue: false hasContentIssue false

16 - Financial Frenzies

Published online by Cambridge University Press:  12 January 2010

Christophe P. Chamley
Affiliation:
Boston University
Get access

Summary

Dow 30,000

This chapter is devoted to three current research issues: (i) the integration of learning and coordination in a model of speculative attacks that is based on a Gaussian financial market with market orders; (ii) the selffulfilling equilibrium with large endogenous uncertainty and low level of trade in a financial market; (iii) the absence of common knowledge in a bubble ending with a crash.

Three issues of current research are introduced in this chapter. The first is the analysis of speculative attacks, or stag hunts in general, in a multiperiod context. The oneperiod framework of Chapter 11 does not allow for any learning from the actions of others. It seems that in a speculative attack, against a currency or in a bank run, agents observe the actions of others and optimize the timing of their actions. In Chapter 12, agents observed the actions of others, but they could not, by assumption, optimize when to invest. The optimization of timing is one of the main issues in the model of dynamic speculative attacks, which is presented in Section 16.1.

In Section 16.2, the permanent value of an asset is increasing in the number of buyers, and the uncertainty is about the number of the potential buyers, i.e., the number of agents. This positive relation between the value of the asset and the number of agents is similar to that in previous chapters when there are information or payoff externalities. In equilibrium, a higher level of purchases generates more information about a large number of agents, as in Chapter 6.

Type
Chapter
Information
Rational Herds
Economic Models of Social Learning
, pp. 358 - 384
Publisher: Cambridge University Press
Print publication year: 2003

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Save book to Kindle

To save this book to your Kindle, first ensure coreplatform@cambridge.org is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about saving to your Kindle.

Note you can select to save to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

Find out more about the Kindle Personal Document Service.

Available formats
×

Save book to Dropbox

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Dropbox.

Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

Available formats
×