The stock-bond correlation is a cornerstone of every asset allocation decision, but estimating it reliably can prove to be challenging given the potential for co-movements to fluctuate significantly based on economic conditions. Using supervised machine learning techniques, this article presents...

This paper examines the initial public offering (IPO) valuations of issuers that return to the IPO market successfully after withdrawing their first IPO attempt. We find that these second-time IPOs sell at a significant discount relative to similar contemporaneous IPOs that succeed in their...