Using high-frequency price and volume data from several large exchanges, we show that FOMC and CPI announcements have a massive impact on Bitcoin's realized volatility and volume. However, this effect is a recent phenomenon, which started as inflation rose at the beginning of 2021. We also...

The study examines the predictability of 48 sovereign bond markets based on a strategy of 27,000 technical trading rules. These rules represent four popular trading rule classes, they are: moving average, filtering, support and resistance, and channel breakout rules, with numerous variants in...

This paper proposes a two-state predictive regression model and shows that stock market 12-month return (TMR), the time-series momentum predictor of Moskowitz, Ooi, and Pedersen (2012), forecasts the aggregate stock market negatively in good times and positively in bad times. The out-of-sample...

We find that exogenous structural shocks caused by terrorist attacks, wars, political turmoil and gold market specific events have a strong role to play in the analysis of dynamic relationships between gold and stock market returns. Our main finding is that the interaction between the gold...

We examine the cross-section of international equity risk premia with machine learning methods. We identify, classify, and calculate 88 market characteristics and use them to forecast country returns with various machine learning techniques. While all algorithms produce substantial economic...

This paper compares the forecasting and hedging performance of 11 CAPM beta estimators across 54 international stock markets. The Welch (2022) age-decayed slope-winsorized beta estimator ranks first in predicting future realized OLS betas in 46 markets and is always within the top 3 performers....