Forecasting stock market movements is a challenging task from the practitioners' point of view. We explore how model selection via the least absolute shrinkage and selection operator (LASSO) approach can be better used to forecast stock closing prices using real-world datasets of daily stock...

This paper studies dividend growth predictability without restricting conditioning information set to dividend yield alone. We highlight that predictability crucially hinges on how dividend growth is constructed. Dividend growth without reinvestment is significantly predictable both in-sample...

While investors in the west are generally skeptical about the reliability of the candlestick technical analysis, this technique is commonly used in some Asian equity markets in short-term speculative investments. This paper examines the effectiveness of five different candlestick reversal...