In this paper, we examine convergence of stock markets. Our empirical exercise is based on 11 different panels, which together consist of 120 countries. The richness of the dataset allows us to disaggregate countries into panels, such as high income, middle income, low income, OECD, CSI, and developing country panels. In addition, we construct regional panels, such as those representing the Arab States, East Asia and the Pacific, South Asia, Latin America and the Caribbean, and Sub-Saharan Africa. Our main finding is that, based on the conditional convergence model, convergence of stock market capitalization and stocks traded is found for four panels, namely the high and low-income panels, the OECD panel, and the Sub-Saharan African panel. The speed of convergence is high, in most cases between 20% and 30%.

In this paper we study whether the commodity futures market predicts the commodity spot market. Using historical daily data on four commodities—oil, gold, platinum, and silver—we find that they do. We then show how investors can use this information on the futures market to devise trading strategies and make profits. In particular, dynamic trading strategies based on a mean–variance investor framework produce somewhat different results compared with those based on technical trading rules. Dynamic trading strategies suggest that all commodities are profitable and profits are dependent on structural breaks. The most recent global financial crisis marked a period in which commodity profits were the weakest.