A stock selection algorithm hybridizing grey wolf optimizer and support vector regression

•A new stock selection algorithm is proposed.•Grey wolf optimizer is innovatively hybridized with support vector regression.•The performance of hybridizing different meta-heuristics is compared.•The new algorithm can achieve excess returns in American and Chinese markets.•The effectiveness and superiority of the new algorithm are empirically examined.