Noisy markets need extensive descriptions that are noisy themselves, such as deep regression trees that capture many data-local nonlinear anomalies and that do not require arbitrary weighting schemes like traditional linear multifactor models often do. Simple tools allow extraction of general...

Changes in shipping freight rates predict stock market returns. In today's global world, where economies are linked through international trade, shipping freight rates carry information about economic activity which is reflected in stock returns. Our results are statistically and economically...

We introduce a new general framework for constructing the best trading strategy for a given historical indicator. We construct the unique trading strategy with the highest expected return. This optimal strategy may be implemented directly, or its expected return may be used as a benchmark to...

Valuation-based market timing demonstrates greater potential to improve risk-adjusted returns for conservative long-term investors than given credit by Fisher and Statman (2006). On a risk-adjusted basis, market-timing strategies provide comparable returns as a 100 percent stocks buy-and-hold...

We develop a sentiment metric to analyze the tone and information amount in financial corporate announcements. We improve existing text processing methods by developing a different word selection approach that allows quantifying the sentiment of financial announcements in an intuitive, but...

Although financial literature presents ambiguous evidence about the predicting value of fundamental and technical variables in stock markets, we find that evolving trading models based on fundamental variables substantially reduce the risk of investing in stocks. This reduction is so generous...

We examine the F score in global emerging markets and show there is a meaningful premium attached to high F score stocks which is unrelated to the size, value and momentum premiums. It is larger for high value stocks, moderately higher for high momentum stocks and unrelated to stock size. This...

When Capital Asset pricing Model (CAPM) is considered as valid asset pricing theory, Security Market Line (SML) is supposed to give ex-ante returns for the single period investment horizon. Since the required returns should be same as the cost of equity (discount rates) in efficient markets, SML...

I study a parsimonious model of a time-varying market risk premium. State pricing is dominated by time preference shocks that may be independent of the consumption process. The model resolves several asset pricing puzzles and provides predictions for how the risk premium varies with measurable...

The study introduces empirical evidence that there are statistically significant relationships between intensity of upcoming aggregate merger activity and the present values of the factors HML and SMB in the Fama-French three-factor model of assets pricing