How to Predict Financial Stress? An Assessment of Markov Switching Models

47 Pages Posted: 16 May 2017

See all articles by Thibaut Duprey

Thibaut Duprey

Bank of Canada

Benjamin Klaus

European Central Bank (ECB)

Date Written: May 8, 2017

Abstract

This paper predicts phases of the financial cycle by combining a continuous financial stress measure in a Markov switching framework. The debt service ratio and property market variables signal a transition to a high financial stress regime, while economic sentiment indicators provide signals for a transition to a tranquil state. Whereas the in-sample analysis suggests that these indicators can provide an early warning signal up to several quarters prior to the respective regime change, the out-of-sample findings indicate that most of this performance is due to the data gathered during the global financial crisis. Comparing the prediction performance with a standard binary early warning model reveals that the MS model is outperforming in the vast majority of model specifications for a horizon up to three quarters prior to the onset of financial stress.

Keywords: time-varying transition probability Markov switching model, early warning model, continuous coincident financial stress measure

JEL Classification: C54, G01, G15

Suggested Citation

Duprey, Thibaut and Klaus, Benjamin, How to Predict Financial Stress? An Assessment of Markov Switching Models (May 8, 2017). ECB Working Paper No. 2057, Available at SSRN: https://ssrn.com/abstract=2968981

Thibaut Duprey (Contact Author)

Bank of Canada ( email )

234 Wellington Street
Ontario, Ottawa K1A 0G9
Canada

Benjamin Klaus

European Central Bank (ECB) ( email )

Frankfurt
Germany

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