An examination of the Shiller cyclically adjusted pricing-earnings (CAPE) ratio reveals its forecasting power for 12-month CRSP equally weighted (EW) excess returns and value weighted (VW) excess returns. The 12-month EW excess returns following low CAPE ratios are, on average, 20.7% higher than...

We use trend-following, trend continuation and trend reversal pattern recognition techniques to apply technical charting rules to trading seven major currency pairs for the period of 1999 through early 2007. Our results suggest that the persistent popularity of technical analysis among...

The index futures market allows for accurate measure of expected dividends from the aggregate stock market. This paper uses the dividend information exclusively extracted from the S&P 500 futures market to construct the implied dividend yield, implied capital gains and novel measures of cash...

A great number of academic papers evaluate the potential for incentive-driven bias in sell-side analysts' earnings forecasts. Yet bias does not necessarily invalidate a forecast, nor does it impinge on its relative quality. We find that analysts' forecasts are optimistic relative to recently...

We generalize the Ferreira and Santa-Clara (2011) sum-of-the-parts method for forecasting stock market returns. Rather than summing the parts of stock returns, we suggest summing some of the frequency-decomposed parts. The proposed method signi cantly improves upon the original sum-of-the-parts...

This paper presents the most comprehensive out-of-U.S.-sample examination of information variables and equity premium predictability by focusing on Canada to reassess the growing U.S.-based evidence casting doubt on predictability. Using monthly data for 36 variables from 1950 to 2013, we test...

Recent theoretical work suggests that signs of asset returns are predictable given that their volatilities are. This is the first paper to investigate whether the demand for information, approximated by the daily internet search volume index (SVI) from Google, can enhance volatility forecasts...

Our research on data for the S&P 500 ETF from 1993-2013 documents an intraday momentum pattern: the first half-hour return on the market (from the previous day's close) predicts the last half-hour return. The predictability, both statistically and economically significant, is stronger on more...

Prediction of stock prices using econometrics and machine learning-based approaches poses significant challenges to the research community since the movements of stock prices are essentially random in its nature. However, significant development and rapid evolution of sophisticated and complex...