We investigate the cross-sectional pattern of stock returns for eight emerging markets using Vector Autoregressive Approach (VAR) to test whether dividend yields can predict stock returns through impulse response characteristics. Our results confirm that dividend yield shocks play an important...

Empirical studies have found that during bad times return predictability is higher. Thus, variation in discount rate news should be relatively higher as economic conditions worsen. We propose a parsimonious model for expected returns that captures the countercyclical dynamics of stock return...

Using proprietary data on millions of trades by retail investors, we provide the first large-scale evidence that retail short selling predicts negative stock returns. A portfolio that mimics weekly retail shorting earns an annualized risk-adjusted return of 9%. The predictive ability of retail...

We provide evidence suggesting that the assumption on the probability distribution for return innovations is more influential for Value at Risk (VaR) performance than the conditional volatility specification. We also show that some recently proposed asymmetric probability distributions and the...

We propose a 4-factor model for overnight returns and give explicit definitions of our 4 factors. Long horizon fundamental factors such as value and growth lack predictive power for overnight (or similar short horizon) returns and are not included. All 4 factors are constructed based on intraday...

Convolutional neural networks (CNN) and long short-term memory (LSTM) networks have become a staple of sequence learning. Due to the well-established fact that financial time series data exhibit exceptionally noisy characteristics, capital market anomalies are virtually impossible to detect. We...

You're probably familiar, at least in passing, with the 'convexity' of long-term bonds - i.e. that yields dropping 1% produce a bigger price move than yields rising 1%. A significant amount of brainpower has gone into understanding all the ramifications of this convexity in the fixed income...

Consumer confidence indices (CCIs) are a closely monitored barometer of countries' economic health, and an informative forecasting tool. Using European and US data, we provide a case study of the two recent stock market meltdowns (the post-dotcom bubble correction of 2000-2002 and the 2007-2009...

This paper proposes a modified version of the widely used price and moving average cross-over trading strategies. The suggested approach (presented in its 'long only' version) is a combination of cross-over 'buy' signals and a dynamic threshold value which acts as a dynamic trailing stop. The...

This research investigates Value Line short-horizon and long-horizon earnings and stock price forecasts. From 1987-1998, Value Line analysts issued optimistic quarterly and annual EPS forecasts. This is consistent with prior research showing that analysts generally issued upwardly biased...