We propose a new approach to model high and low frequency components of equity correlations. Our framework combines a factor asset pricing structure with other specifications capturing dynamic properties of volatilities and covariances between a single common factor and idiosyncratic returns....

We examine the statistical power of fundamental and behavioural factors with regards to stock returns of the Dow Jones Industrials Index. With a novel sentiment dataset from over 3.6 million Reuters news articles, we find significant correlations between Reuters sentiment and stock returns. We...

In a 2001 interview in Forbes, Warren Buffett suggested that the ratio of the market value of publicly traded stocks to economic output could identify potential equity market mispricings. This paper investigates the return-predictive characteristics of the market value of equity-to-gross...

We use a Panel Smooth Transition Regression (STR) model to study nonlinearities in the expectationformation process in the US stock market. To this end, we use data from the Livingston survey to investigate how the importance of regressive and extrapolative expectations fluctuates over time as...

Jegadeesh (1990) examines the serial correlation in monthly stock returns and tests its economic significance by designing three trading strategies. In this study, we follow his research design to compare the security return predictability between US market and China market. The findings suggest...

In this article, we document a new stock market anomaly that seems to have escaped the attention of both investment professionals and academics alike. We find that over more than a century, the monthly market return has been predicted by the monthly market return at lag 5. This predictability is...

Purpose - The present research aims to examine a range of momentum trading strategies for the tourism and hospitality sector. Design/methodology/approach - The paper followed the methodology of Jegadeesh and Titman (1993) to construct the portfolios. In this methodology, all portfolios were...

This study investigates the presence of intraday patterns in the eleven sectors of the United States (U.S.) economy. Key contributions are in terms of assessing (i) risk and return patterns at specific time periods of the trading session on the New York Stock Exchange (NYSE), (ii) whether a...

Using a very large data set with more than 9,700 stocks listed on NYSE, AMEX and NASDAQ, we analyze overnight price jumps and report short-term investor overreaction to information shocks and document return reversal and predictability up to five days. For negative and positive overnight jumps,...