Arbeitspapier

Three methods of forecasting currency crises: Which made the run in signaling the South African currency crisis of June 2006?

In this paper we test the ability of three of the most popular methods to forecast the South African currency crisis of June 2006. In particular we are interested in the out-ofsample performance of these methods. Thus, we choose the latest crisis to conduct an out-of-sample experiment. In sum, the signals approach was not able to forecast the outof- sample crisis of correctly; the probit approach was able to predict the crisis but just with models, that were based on raw data. Employing a Markov-regime-switching approach also allows to predict the out-of-sample crisis. The answer to the question of which method made the run in forecasting the June 2006 currency crisis is: the Markovswitching approach, since it called most of the pre-crisis periods correctly. However, the "victory" is not straightforward. In-sample, the probit models perform remarkably well and it is also able to detect, at least to some extent, out-of-sample currency crises before their occurrence. It can, therefore, not be recommended to focus on one approach only when evaluating the risk for currency crises.

Language
Englisch

Bibliographic citation
Series: IWH Discussion Papers ; No. 17/2007

Classification
Wirtschaft
Semiparametric and Nonparametric Methods: General
Single Equation Models; Single Variables: Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
Forecasting Models; Simulation Methods
Money and Interest Rates: Forecasting and Simulation: Models and Applications
Foreign Exchange
International Finance Forecasting and Simulation: Models and Applications
Subject
currency crisis
forecast
predictability
signals approach
Probit approach
Markov regime switching approach
South Africa
Währungskrise
Prognoseverfahren
Vergleich
Südafrika

Event
Geistige Schöpfung
(who)
Knedlik, Tobias
Scheufele, Rolf
Event
Veröffentlichung
(who)
Leibniz-Institut für Wirtschaftsforschung Halle (IWH)
(where)
Halle (Saale)
(when)
2007

Handle
URN
urn:nbn:de:gbv:3:2-6311
Last update
10.03.2025, 11:43 AM CET

Data provider

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Object type

  • Arbeitspapier

Associated

  • Knedlik, Tobias
  • Scheufele, Rolf
  • Leibniz-Institut für Wirtschaftsforschung Halle (IWH)

Time of origin

  • 2007

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