In this paper we develop an early warning system of currency crises based on the Markov switching methodology. Constructed data on speculative pressure from six Asian countries indicate that currency crises are mainly captured through volatility effects. Based on an extensive survey, we test...

In this paper we develop an early warning system of currency crises based on the Markov switching methodology. Constructed data on speculative pressure from six Asian countries indicate that currency crises are mainly captured through volatility effects. Based on an extensive survey, we test...

This paper uses a Markov regime-switching model to assess the vulnerability of a series of Central and Eastern European countries (i.e. Czech Republic, Hungary, Slovak Republic) and two CIS countries (i.e., Russia and Ukraine) during the period 19932004. For the new EU member states in Central...

Previous early-warning systems (EWSs) for currency crises have relied on models that require a priori dating of crises. This paper proposes an alternative EWS, based on a Markov-switching model, which identifies and characterizes crisis periods endogenously; this also allows the model to utilize...

Previous early-warning systems (EWSs) for currency crises have relied on models that require a priori dating of crises. This paper proposes an alternative EWS, based on a Markov-switching model, which identifies and characterizes crisis periods endogenously; this also allows the model to utilize...

Many estimates of early-warning-system (EWS) models of currency crisis have reported incorrect standard errors because of serial correlation in the context of panel probit regressions. This paper documents the magnitude of the problem proposes and tests a solution and applies it to previously...

Despite the fact that Argentina has been suffering from recession for years the timing and severity of the recent currency crisis has surprised most observers. This paper analyzes whether the "early warning" or "signals" approach of Kaminsky (1998), Kaminsky/Lizondo/Reinhart (1998) and...

We propose a modeling framework which allows for creating probability predictions on a future market crash in the medium term, like sometime in the next five days. Our framework draws upon noticeable similarities between stock returns around a financial market crash and seismic activity around...

This work develops an early warning system framework for assessing systemic risks and for predicting systemic events, i.e. periods of extreme financial instability with potential real costs, over the short horizon of six quarters and the long horizon of twelve quarters on the panel of 14...

We construct and explore a new quarterly dataset covering crisis episodes in 40 developed countries over 1970-2010. First, we examine stylized facts of banking, debt, and currency crises. Using panel vector autoregression, we confirm that currency and debt crises are typically preceded by...