In this study, we investigate the determinants of convenience yields across a broad range of commodities. We find that the convenience yields of commodities are exposed to both commodity-specific and systematic factors, but to a different extent. The difference in explanatory power of these...

In this study, we investigate the determinants of convenience yields across a broad range of commodities. We find that the convenience yields of commodities are exposed to both commodity-specific and systematic factors, but to a different extent. The difference in explanatory power of these...

In this study, we investigate the determinants of convenience yields across a broad range of commodities. We find that the convenience yields of commodities are exposed to both commodity-specific and systematic factors, but to a different extent. The difference in explanatory power of these...

This paper constructs the synthetic stocks with put-call parity and compares the overnight and intraday returns of the synthetic and actual stocks in Chinese markets. The synthetic stocks have higher (lower) overnight (intraday) returns than the underlying stocks. We relate the findings to the...

We contribute to the literature by analyzing forecast combination methods in the context of machine learning to predict equity returns. Whilst individual models lack robustness, forecast combinations display stability and are able to produce improved results with Sharpe ratios up to 3.16. We use...

We comprehensively analyze the predictive power of several option implied variables for monthly S & P 500 excess returns and realized variance. The correlation risk premium (CRP) emerges as a strong predictor of both excess returns and realized variance. This is true both in- and out-of-sample....

We comprehensively analyze the predictive power of several option-implied variables for monthly S&P 500 excess returns and realized variance. The correlation risk premium (CRP) and the variance risk premium (VRP) emerge as strong predictors of both excess returns and realized variance. This is...