"In recent decades, the intensification of unpredictable events including the Covid-19 outbreak, Brexit, trade warfare, religion-inspired terrorism and civil wars, and climate change has resulted in serious loss of human lives and property, a decrease in biodiversity and natural hazards (with...

Risk parity has been considered a heuristic asset allocation method. In this paper, we show that, to the contrary, risk parity is a special case of a mean-risk type of a portfolio optimization problem with log-regularization to constrain weights. We show that log-regularization leads to a fund...

Value-at-Risk (VaR) forecasting via a computational Bayesian framework is considered. A range of parametric models are compared, including standard, threshold nonlinear and Markov switching GARCH specifications, plus standard and nonlinear stochastic volatility models, most considering four...

Credible assessment of a pandemic is critical in decision-making by healthcare providers, local and national government agencies, and international organizations. It facilitates a valuable lead time to policy-makers for efficient planning, resource allocation, and enforcing interventions. This...

This book presents methodologies for the Bayesian estimation of GARCH models and their application to financial risk management. The study of these models from a Bayesian viewpoint is relatively recent and can be considered very promising due to the advantages of the Bayesian approach, in...

"Model uncertainty hampers consensus on the key determinants of economic growth. Some recent cross-country, cross-sectional analyses have employed Bayesian Model Averaging to address the issue of model uncertainty. This paper extends that approach to panel data models with country-specific fixed...