nascent market economies. We develop an ad-hoc optimal asset-allocation strategy with a flavor of Bayesian learning adapted to …

robust and efficient relative to alternative Markov Chain Monte Carlo schemes employed in such contexts. In addition it … model, namely SV-GARCH which attempts to bridge the gap between GARCH and stochastic volatility specifications. In nesting … the standard GARCH model as a special case, it has the attractive feature of inheriting the same unconditional properties …

. Employing a time-varying transition probability Markov switching framework, we provide empirical evidence that house price …

We use a multivariate hazard model to analyse the ratification behaviour of ILO conventions by developing countries … investigating identification, we use a semi-parametric Bayesian approach based on the partial likelihood. We find diverging results … between Bayesian and frequentist estimates concerning the importance of the two unobserved heterogeneities. …

labor-augmenting technology shocks. We estimate the model with Bayesian techniques. In the full sample, we find (i) evidence …

conditions of the economy. I estimate the deep parameters of the model using Bayesian techniques. My findings are; (a) fiscal …

. This paper uses the fractal properties of asset returns and presents estimations of Markov switching multifractal models …