This paper comprehensively investigates the connection between oil futures volatility and the financial market based on a data-rich and model-rich environment, which contains traditional prediction models, machine learning models, and combination models. The results highlight the efficiency of...

Forecast combination has been proven to be a very important technique to obtain accurate predictions for various applications in economics, finance, marketing and many other areas. In many applications, forecast errors exhibit heavy-tailed behaviors for various reasons. Unfortunately, to our...