Objective
In a future book on international economic history, the nineties will probably be called "the decade of cuaency crises." The series of cases of the European Monetary System in 1992-1993, the Mexican crisis in 1995, the Asian crises and the Czech koruna turbulence in 1997, the Russian and Brazilian crises in 1998 all prove that countries do not have the appropriate monetary system for the extremely fast capital movements in the World. The crisis of the Exchange Rate Mechanism in Europe destroyed the illusion that only the countries with serious macroeconomic imbalances have to face the ask of speculative attacks. It became clear that macroeconomic theory did not know enough about the mechanisms which may trigger a currency crisis. Since then, a lot of work has been done in this field. A group of new theories found that mechanisms based on the expectations of the speculators could lead to self- fulfilling currency crises. Other models showed that simple changes in the assumptions about the informational structure of the speculators could radically change the outcome. In this paper, I argue that an important element of speculative attacks missing from the currency crisis literature. This element is the rational herding behavior of the speculators. I build a model that shows that herding effects may cause currency crises even in economies with sound macroeconomic indicators. I argue that the fixed exchange rate constrains the information revealing capability of the exchange rate and it may cause a speculative attack. It may happen that all the speculators join the attacking herd, believing that others have private intormation showing that the attack will be profitable, although the majority of them have private intonation showing the contrary. I prove that this model can explain a strange empirical phenomenon after certain European speculative crises. Apparently there is a group of- currency crises (e.g. the crises of the French and Belgian, the Dani
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
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Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
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Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Coordinator
1111 BUDAPEST
Hungary
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.