This paper investigates conditional return distribution characteristics for seven developed markets (DMs) and eight emerging markets (EMs). With the exception of Germany and Japan, the behavior of monthly returns of DM sample countries is similar to that of the U.S. In contrast, EM returns exhibit a substantially greater degree of serial correlation and a higher incidence of autoregressive conditional heteroskedasticity (ARCH) in monthly data. Aggregation of returns into two‐ and three‐month holding periods decreases the significance of the ARCH effects. However, there are cross‐sectional differences in the rate at which ARCH effects become insignificant. The findings of ARCH in monthly returns sample data is attributed to differences in the rate at which information arrives and is transmitted into prices in each market.
In this paper we investigate the effect of news about the advent of the U.S.-Canada Free Trade Agreement (FTA) on the exchange rate between the Canadian dollar and the U.S. dollar. We find evidence that information flows related to the likelihood of the FTA influenced the volatility of the daily spot rate. In particular, information that increased the likelihood of the FTA subsequently diminished exchange rate volatility. In contrast, information that decreased the likelihood of the FTA subsequently increased exchange rate volatility.
A simple asset pricing model is developed to take into account two important characteristics in global investments: market segmentation and noise trader risk. Our results show the removal of international investment barriers and cross-border listings have not led to a fully integrated international capital market. We also show that different degree of investor rationality across borders induces an additional component of risk premium which is related to the "noise spill-over effect".
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