This study examines the diversification and hedging benefits of green investments for conventional stock portfolios in the context of the recent COVID-19 pandemic. While the findings confirm the status of gold as a strong hedge against stock market downturns, we find that clean energy...

This paper introduces a new methodology to estimate time‐varying alphas and betas in conditional factor models, which allows substantial flexibility in a time‐varying framework. To circumvent problems associated with the previous approaches, we introduce a Bayesian time‐varying parameter...

This paper documents an economically significant risk premium associated with a currency’s sensitivity to time-varying risk aversion. Consequently, an investment strategy that takes a long (short) position in currencies with high (low) sensitivity to the aggregate market risk aversion yields...

This paper provides a long-term perspective to the causal linkages between currency dynamics and macroeconomic conditions by utilising a long span data set for the United Kingdom that extends back to 1856 and a time-varying causality testing methodology that accounts for the nonlinearity and...

Yes, they do. Utilizing a machine-learning technique known as random forests to compute forecasts of realized (good and bad) stock market volatility, we show that incorporating the information in lagged industry returns can help improve out-of sample forecasts of aggregate stock market...