In Finance, Humans Were the First Machines
A Q&A with Chicago Booth’s Dacheng Xiu on the implications of machine learning for the financial markets.
In Finance, Humans Were the First MachinesActive-mutual-fund portfolios have become more diversified and index-like
Lubos Pastor, Robert F. Stambaugh, and Lucian A. Taylor, “Fund Tradeoffs,” NBER working paper, December 2017.
A Q&A with Chicago Booth’s Dacheng Xiu on the implications of machine learning for the financial markets.
In Finance, Humans Were the First MachinesRising rates have exposed landlords’ significant interest-rate risk.
Why South Korea’s Housing Market Is So VulnerableSuch default options make cardholders less likely to miss a payment, but can also result in more interest paid over time.
Why Automatic Minimum Payments Lead to Mounting Credit-Card DebtsYour Privacy
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