This study developed an investment framework to implement dynamic factor rotation strategies according to changes in economic conditions. I constructed a useful macro indicator that tracked real-time business cycles of the US economy and applied a trend-filtering method to the indicator to...

Most capital market forecasts for the year ahead tend to be narrow consensus extrapolations of broad trends and historic data, in which analysts look in particular at the last 12 months, especially in a rising market, and assume, as a baseline, that a similar outcome will recur in the next 12...

We study the predictability of equity risk premiums for UK equity indexes, in particular whether stylized facts found for the US stock market also apply to the UK market. We compare the performance of economic and technical indicators with a particular focus on the time-varying nature of...

We establish the out-of-sample predictability of monthly exchange rate changes via machine learning techniques based on 70 predictors capturing country characteristics, global variables, and their interactions. To guard against overfitting, we use the elastic net to estimate a high-dimensional...

This paper provides global evidence supporting the hypothesis that expected return models are enhanced by the inclusion of variables that describe the evolution of book-to-market-changes in book value, changes in price, and net share issues. This conclusion is supported using data representing...

We provide a historical perspective focusing on Ziemba's experiences and research on the bond-stock earnings yield differential model (BSEYD) starting from when he first used it in Japan in 1988 through to the present in 2014. The model has called many but not all crashes. Those called have high...

Taking the perspective of international asset allocation, this paper tests if predictive regressions conditional on time-series and cross-sectional information can improve forecasts of stock index returns. We use different current price-to-fundamental ratios as predictors and condition the...

This paper documents a significant time-series momentum effect that is consistent and robust across all examined conventional asset classes from 1969 to 2015. We find that the duration and magnitude of time-series momentum is different in developed and emerging markets, but this is no longer the...

We show that aggregate insider trading (AIT) in the S&P 500 is a reliable predictor of the U.S. equity premium, while AIT outside the S&P 500 seems to be uninformative. Aggregate trading of S&P 500 insiders outperforms a broad set of well-established predictors considering in- and out-of-sample...