Forecasting Currency Crises: Which Methods signaled the South African Crisis of June 2006?
Tobias Knedlik, Rolf Scheufele
South African Journal of Economics,
2008
Abstract
In this paper we test the ability of three of the most popular methods to forecast South African currency crises with a special emphasis on their out-of-sample performance. We choose the latest crisis of June 2006 to conduct an out-of-sample experiment. The results show that the signals approach was not able to forecast the out-of-sample crisis correctly; the probit approach was able
to predict the crisis but only with models, that were based on raw data. The Markov-regime- switching approach predicts the out-of-sample crisis well. However, the results are not straightforward. In-sample, the probit models performed remarkably well and were also able to detect, at least to some extent, out-of-sample currency crises before their occurrence. The recommendation is to not restrict the forecasting to only one approach.
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Three methods of forecasting currency crises: Which made the run in signaling the South African currency crisis of June 2006?
Tobias Knedlik, Rolf Scheufele
IWH Discussion Papers,
No. 17,
2007
Abstract
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.
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The out of sample performance of leading indicators for the German business cycle. Single vs combined forecasts
Christian Dreger, Christian Schumacher
Journal of Business Cycle Measurement and Analysis,
No. 1,
2005
Abstract
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A macroeconometric model for the Euro economy
Christian Dreger
IWH Discussion Papers,
No. 181,
2003
Abstract
In this paper a structural macroeconometric model for the Eurozone is presented. In opposite to the multi country modelling approach, the model relies on aggregate data on the supra-national level. Due to nonstationarity, all equations are estimated in an error correction form. The cointegrating relations are derived jointly with the short-run dynamics, avoiding the finite sample bias of the two step Engle Granger procedure. The validity of the aggregated approach is confirmed by out-of-sample forecasts and two simulation exercises. In particular the implications of a lower economic recovery in the US and a shock in the nominal Euro area interest rate are discussed.
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Composite Leading Indicators der amerikanischen Wirtschaft - Prognosegüte des Conference Board und des OECD Ansatzes im Vergleich
Marian Berneburg
IWH Discussion Papers,
No. 172,
2003
Abstract
The Paper analyses both the Conference Board as well as the OECD Leading Indicators concerning their forecasting properties of overall economic activity. For this purpose the two indicators are introduced separately and several in-sample and out-of-sample tests are being conducted. The main focus, apart from other methods, is being laid on coherence tests as well as the Diebold/Mariano test. In contrast to many other analyses dealing with this topic, the chosen reference series is not industrial production, but rather the coincident index, as reported by the conference board. It seems as if both indicators show some sign of correlation to overall economic activity, but at the same time fail to improve on the forecasts of a simple time series model.
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Vierteljährliche Entstehungsrechnung des Bruttoinlandsprodukts für Ostdeutschland: Sektorale Bruttowertschöpfung
Hans-Ulrich Brautzsch, Udo Ludwig
IWH Discussion Papers,
No. 164,
2002
Abstract
Data regarding the development of macroeconomic production and employment are essential for the political decision process. Especially timely available information is a critical issue. Reliable short run data are not reported for East Germany yet. Because of data limitations for the past quarterly sectoral series of production and employment are derived from annual national accounts data using a set of indicators by branches. Indicators have been tested and cover working hours and sales, among others. For the period from 1992 to 2001 quarterly series for sectoral GDP are derived. A flash estimator for the overall macroeconomic performance is obtained through aggregation.
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