Marketplace®
Every story is an economic story

Computerized trading may — or may not — have helped 500-point drop

Vasant Dhar of NYU's Stern School of Business says investors shouldn't be worried by computerized trading. In fact, yesterday's sell off may have been exaggerated by people – and muted by computers.

BOB MOON: We wondered this morning: what are the chances that what we saw yesterday was fear feeding on itself — a bunch of computers programmed to unload at the first hint of panic. So we’ve contacted an expert on the subject. Vasant Dhar is a professor at NYU’s Stern School of Business. Thanks for joining us.

VASANT DHAR: You’re welcome.

MOON: So does the huge amount of computerized trading on Wall Street make these sell-offs worse? What’s to prevent these programs from trading against each other and creating a cascade?

DHAR: That can certainly happen, although, there’s no evidence to suggest that that’s what happened yesterday. In fact, it could just be human initiated.

MOON: But aren’t these computers trained — you know, programmed to trade against fear?

DHAR: The truth is that there’s a really huge, diversity of programs out there. When one of them senses a selling opportunity, another may sense a buying opportunity. So, very often they can actually provide liquidity and stability to the marketplace, as strange as it might sound. On the other hand, what can happen sometimes — probably what happened in the flash trash in May of last year — is that many of these players sense that there’s something going on and they pull out of the market and so the liquidity vanishes. What you get is a move that are exacerbated by, you know, the absence of liquidity as opposed to sort of programs that are trading against each other and cascading.

MOON: Vasant Dhar, professor, Business NYU Stern School of Business. Thanks for your insights.

DHAR: Thank you.

Latest Episodes

View All Shows
  • Marketplace
    a day ago
    25:55
  • Marketplace Morning Report
    a day ago
    6:21
  • Marketplace Tech
    2 days ago
    12:40
  • This Is Uncomfortable
    3 days ago
    39:00
  • Million Bazillion
    5 days ago
    30:58
  • Make Me Smart
    4 months ago
    24:33