This paper examines the long-run relationship between goods prices and stock prices to understand whether stock market investment can help hedge against inflation in the United States (US) and Canada. This study employed an autoregressive distributed lag (ARDL) cointegration test developed by...

In this paper, we extend the concept of News Impact Curve developed by Engle and Ng (1993) to the higher moments of the multivariate returns' distribution, thereby providing a tool to investigate the impact of shocks on the characteristics of the subsequent distribution. For this purpose, we...

According to several empirical studies, the Present Value model fails to explain the behaviour of stock prices in the long-run. In this paper, the authors consider the possibility that a linear cointegrated regression model with multiple structural changes would provide a better empirical...

In this paper, we show that momentum patterns in equity returns can arise even in a parsimonious model with rational investors having symmetric information. The special feature of our model is that investors obtain a signal before observing the true asset payoff. A more favorable signal,...

This study examines the spillover and connectedness network among the United States and the Association of Southeast Asian Nations (ASEAN)+6 stock market returns during times of uncertainty in the world economy, such as the COVID-19 pandemic and the conflict between Russia and Ukraine. The...

This research uses macro factors to explain four standard U.S. stock market risk premia, i.e. the market excess return (RM-RF), size (SMB), value (HML), and momentum (WML). We find in-sample predictive power of macro factors, in particular at a one-year horizon. Differentiating between bull and...