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International trade is said to be the engine of economic growth. Despite an enormous effort to explain this phenomenon, the relationship between financial market development and trade openness and integration into the world economy is still an enigma. This article investigates the relationship between financial market development and trade openness. To do this, we develop a long-run and short-run model (a bounds testing approach to cointegration) for 18 emerging economies over the period 1980 to 2011. Estimates from all models show that financial market development, including both the stock market and the banking sector, has significant effect on trade openness in both short-run and long-run phenomena in the majority of countries. Despite many similarities among emerging economies, additional evidence suggests that the link between either stock market development or banking sector development with trade openness works via each country's specific structure.

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Unlike previous research that investigated the relation between exports and output, in this paper we assess the long-run relation between the degree of openness and economic growth. For the many countries considered here, we find a positive long-run relation between openness and economic growth.

We test the PPP hypothesis in 29 African countries using a newly developed nonlinear Quantile unit root test with a Fourier function which accounts for smooth breaks. Simulation indicates that the proposed new test has higher power than the conventional Quantile unit root test as proposed by Koneker and Xiao (2004). Our empirical results provide support for the PPP hypothesis in 21 out of 29 African countries, a unique discovery using their real effective exchange rates. It appears that incorporating Fourier function to nonlinear Quantile unit root test gets us closer and closer to solving the PPP puzzle in Africa.

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Previous research has assessed the impact of policy uncertainty on a few macro variables. In this paper, we consider its impact on oil prices. Oil prices are usually determined in global markets by the law of demand and supply. Our concern in this paper is to determine which country's policy uncertainty measure has an impact on oil prices. Using both the linear and the nonlinear Autoregressive Distributed Lag (ARDL) methods, we find that while policy uncertainty measures of Canada, China, Europe, Japan, Russia, South Korea, and the U.S. have short-run effects, short-run effects last into the long-run asymmetric effects only in the case of China. This may reflect the importance and recent surge in China's engagement in world trade.