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The contribution of this work consists firstly in decomposing the effect of financial liberalization into a global direct positive effect on growth and an indirect negative effect via financial fragility and crisis. We show that the aggregate positive effect of financial liberalization outweighs the negative partial or temporary effect. Secondly, contrary to previous works, we distinguish many types of financial reforms. We found that equity market liberalization is the most important component in reducing economical costs associated with financial crisis. Thus, equity market liberalization is the most important favoring growth. Interest rate liberalization enhances significantly the probability of crisis leading to a short-run indirect effect more important than other financial reforms. Thirdly, we improved our work by addressing model uncertainty using Bayesian Model Averaging techniques to choose appropriate indicators for model crisis specification. [ABSTRACT FROM AUTHOR]

This work aims at contributing to the improvement of the early warning systems of banking crises using a new approach accounting for model uncertainty. We show that a multinomial logit model based on Bayesian model averaging (BMA) is a good strategy to predict banking crisis. To do this, we argue that differences in vulnerability to banking crisis can be largely explained by an asymmetry between financial market evolution and regulation update on a sample of 49 developed and developing countries between 1980 and 2010. When markets are liberalized, competition pushes bankers to take more risks and take advantage of regulatory delays thus increasing crises probabilities. Our empirical evidence supports that crisis probability is higher in country liberalizing their banking system when regulation is not updated. We developed an early warning system for systemic banking crises based on the multinomial logit model. Its main difference to existing prediction models and its contribution to the literature is that it is intended to identify and resolve what is called by Bussiere and Fratzscher [(2006). Towards a new early warning system of financial crises.Journal of International Money and Finance,25(6), 953–973] as post-crisis bias in binomial models and to develop a new methodology of leading indicators selection based on BMA. Overall, our model predicts all banking crises during our sample period. [ABSTRACT FROM PUBLISHER]