Currency Crises and the Stock Market: Empirical Evidence for Another Type of Twin Crisis
Stefan Eichler, Dominik Maltritz
Applied Economics,
Nr. 29,
2011
Abstract
We explore the dependency between currency crises and the stock market in emerging economies. Our focus is two-fold. First, the risk of a currency crisis rises as the foreign stake in the domestic stock market increases. Successful economies with high capital flows into their booming stock markets especially are prone to stock market-induced currency crises. Second, we apply the dividend growth model to show that stock markets crash in the run-up to a currency crisis. This new type of twin crisis is empirically tested by employing a logit framework using quarterly data for 33 emerging economies for 1994Q1–2007Q4.
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The ADR Shadow Exchange Rate as an Early Warning Indicator for Currency Crises
Stefan Eichler, Alexander Karmann, Dominik Maltritz
Journal of Banking and Finance,
Nr. 11,
2009
Abstract
We develop an indicator for currency crisis risk using price spreads between American Depositary Receipts (ADRs) and their underlyings. This risk measure represents the mean exchange rate ADR investors expect after a potential currency crisis or realignment. It makes crisis prediction possible on a daily basis as depreciation expectations are reflected in ADR market prices. Using daily data, we analyze the impact of several risk drivers related to standard currency crisis theories and find that ADR investors perceive higher currency crisis risk when export commodity prices fall, trading partners’ currencies depreciate, sovereign yield spreads increase, or interest rate spreads widen.
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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,
Nr. 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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Signaling Currency Crises in South Africa
Tobias Knedlik
IWH Discussion Papers,
Nr. 19,
2006
Abstract
Currency crises episodes of 1996, 1998, and 2001 are used to identify common country specific causes of currency crises in South Africa. The paper identifies crises by the use of an Exchange Market Pressure (EMP) index as introduced by Eichengreen, Rose and Wyplosz (1996). It extends the Signals Approach introduced by Kaminsky and Reinhart (1996, 1998) by developing a composite indicator in order to measure the evolution of currency crisis risk in South Africa. The analysis considers the standard suspects from international currency crises and country specifics as identified by the Myburgh Commission (2002) and current literature as potentially relevant indicators.
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Are the Central and Eastern European Transition Countries still vulnerable to an Financial Crisis? Results from the Signals Approach
Axel Brüggemann, Thomas Linne
IWH Discussion Papers,
Nr. 157,
2002
Abstract
The aim of the paper is to analyse the vulnerability of the Central and Eastern European accession countries to the EU as well as that of Turkey and Russia to a financial crisis. Our methodology is an extension of the signals approach. We develop a composite indicator to measure the evolution of the risk potential in each country. Our findings show that crises in Central and Eastern Europe are caused by much the usual suspects as in others emerging markets. In particular an overvalued exchange rate, weak exports and dwindling currency reserves have good predictive power for assessing crisis vulnerabilities.
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