CAN CREDIT DEFAULT SWAPS PREDICT FINANCIAL CRISES? EMPIRICAL STUDY ON EMERGING MARKETS



Journal of Applied Economic Sciences

Volume IV/ Issue 1(7)/ Spring 2009

Looking at country-specific forecasts, the most successful prediction of a stock market crisis
was for the Brazilian Bovespa index. Also, the model produced successful predictions for the Turkish
stock market with the exception of predicted values for 2003. The worst results from the stock market
model are for the Russian stock market index where we have a predicted crisis probability of more
than 20 percent and yet there is no crisis as defined in this paper. Figure 1 below shows four graphs of
interest for forecasts for stock market crises by country.

Figure 1. Graphs’ of model (2) forecasts for stock market crises for four countries. The blue bar shows the
occurrence of a crisis as defined in this paper and the red line shows the estimated probability of a crisis by
model(2)

On the other hand, the most successful prediction of a currency market crisis was for the South
African Rand in 2003, although we don’t have a predicted crisis probability of more than 10 percent
for this currency. The worst result from the model that predicts currency crises was for the Chinese
Renminbi. The model predicts a currency crash with more than 50 percent probability during the
second quarter of 2008 although there is no crisis. Figure 2 below shows the graphs of forecasts for
currency market crises by country.

Figure 2. Graphs’ of model (2) forecasts for currency market crises for two currencies.

The blue bar shows the occurrence of a crisis as defined in this paper and the red line shows the estimated
probability of a crisis by model(2)

To sum up, changes in sovereign credit default swap premiums have statistically significant
impact on the probability of stock market crises in emerging markets, while the same is not true for
the currency crises. Credit default swaps alone were able to predict 40% of the stock market crises
and 4.76% of the currency market crises.

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