Using data for forty markets, this paper examines the nature and possible causes of time-variation within the stock return-dividend yield predictive regression. The results in this paper show that there is significant time-variation in the predictive equation for returns and that such variation...

We study empirical mean-variance optimization when the portfolio weights are restricted to be direct functions of underlying stock characteristics such as value and momentum. The closed-form solution to the portfolio weights estimator shows that the portfolio problem in this case reduces to a...

We study overreaction and the cumulative effect of the consecutive local overreaction patterns in financial markets. The 'overreaction diamond' pattern [1] is one of the key components of a financial market bubble. The cumulative effect of the consecutive short term overreactions arising from...

The reaction of EU bond and equity market volatilities to sovereign rating announcements (Standard & Poor's, Moody's, and Fitch) is investigated using a panel of daily stock market and sovereign bond returns. The parametric volatilities are filtered using EGARCH specifications. The estimation...

Indices providing cost-efficient passive exposure to factors such as value, growth, momentum, small size or low volatility, and other non-cap-weighted indices such as high dividend yield, high quality, high and low beta or equal-weighted indices, are well known and widely used in practice as...

We examine the price behavior of 56 major markets over the last 16 years applying a set of univariate and multivariate robust statistical tests across different time frequencies. Our results can be considered as an augmented true out-of-sample test of all previous research testing for...

This study examines the relationship between positive and negative investor sentiments and stock market returns and volatility in Group of 20 countries using various methods, including panel regression with fixed effects, panel quantile regressions, a panel vector autoregression (PVAR) model,...

We examine the relation between stock returns and profit persistence. Profit persistence is an indicator of competitive pressure or managerial ability. This, in turn, can impact firm risk and cash flow and thus stock returns. Using data on US firms, we consider panel regression at both sector...

Traditional machine learning methods have been widely studied in financial innovation. My study focuses on the application of deep learning methods on asset pricing.I investigate various deep learning methods for asset pricing, especially for risk premia measurement. All models take the same set...

This paper studies subsampling hypothesis tests for panel data that may be nonstationary, cross-sectionally correlated, and cross-sectionally cointegrated. The subsampling approach provides approximations to the finite sample distributions of the tests without estimating nuisance parameters. The...