Stock market recessions are often early warning signals for financial or economic crises. Hence, forecasting bear markets is important for investors, policymakers, and economic agents in general. In our two-step procedure, we first identify stock market regimes in the US using three different...

The empirical literature of stock market predictability mainly suffers from model uncertainty and parameter instability. To meet this challenge, we propose a novel approach that combines the documented merits of diffusion indices, regime-switching models, and forecast combination to predict the...

The empirical literature of stock market predictability mainly suffers from model uncertainty and parameter instability. To meet this challenge, we propose a novel approach that combines the documented merits of diffusion indices, regime-switching models, and forecast combination to predict the...

The empirical literature of stock market predictability mainly suffers from model uncertainty and parameter instability. To meet this challenge, we propose a novel approach that combines the documented merits of diffusion indices, regime-switching models, and forecast combination to predict the...

We study the correlation between pairs of bond and stock markets in Canada and the United States between January 1998 and December 2006 in the framework of Diagonal-BEKK models. Our research question is whether monetary policy action and communication by the Bank of Canada and the Federal...

We study the correlation between pairs of bond and stock markets in Canada and the United States between January 1998 and December 2006 in the framework of Diagonal-BEKK models. Our research question is whether monetary policy action and communication by the Bank of Canada and the Federal...

We analyze the impact of the pro-Russian conflict on stock returns in Russia and the Ukraine during the period November 21, 2013 to September 29, 2014. We utilize a newly created indicator for the degree of (de-)escalation based on an Internet search for conflict-related news. We find that...