Masters in Business

Living in the Era of Quant 3.0

Lots of data and advances in computing power make all the difference.

To Matthew Rothman, head of global quantitative equity research at Credit Suisse, we have entered the era of Quant 3.0 -- the third developmental wave of quantitative investing in which big data and advanced computing power allows information processing at levels that are exponentially greater than ever.

As Rothman sees it, the world has become fully digitalized; data sets, storage and computing power are all plummeting in price; and the abilities of artificial intelligence are reaching levels barely imagined before. Although this is having a revolutionary impact on investing and trading, it comes with risks: Quants must understand where and how their models have failed in the past and will fail again in the future.

Rothman, who also is a senior lecturer in finance at the Massachusetts Institute of Technology's Sloan School of Management, was hired a few years before the financial crisis to be global head of quantitative research at Lehman Brothers. In the midst of the quant crash in 2007, he published “Turbulent Times in Quant Land,” a research note explaining the meltdown. It became the most widely distributed research note in Lehman’s history.

You can stream/download the full conversation, including the podcast extras, on BloombergiTunesOvercast, and Soundcloud.

Our earlier podcasts can all be found on iTunesSoundcloudOvercast and Bloomberg.

This column does not necessarily reflect the opinion of the editorial board or Bloomberg LP and its owners.

    To contact the author of this story:
    Barry Ritholtz at

    To contact the editor responsible for this story:
    James Greiff at

    Before it's here, it's on the Bloomberg Terminal.