• DocumentCode
    994075
  • Title

    The Tech Buzz Game [stock market prediction]

  • Author

    Mangold, Bernard ; Dooley, Mike ; Flake, Gary W. ; Hoffman, Havi ; Kasturi, Tejaswi ; Pennock, David M. ; Dornfest, Rael

  • Volume
    38
  • Issue
    7
  • fYear
    2005
  • fDate
    7/1/2005 12:00:00 AM
  • Firstpage
    94
  • Lastpage
    97
  • Abstract
    Prediction markets, also known as information or decision markets, are designed to forecast future events or trends. Internet-based prediction markets can easily aggregate the insights of an unlimited number of potentially knowledgeable people asynchronously. The Tech Buzz Game - a joint venture between Yahoo! Research Labs and O´Reilly Media - is a fantasy prediction market launched in March 2005 at the O´Reilly Emerging Technology (ETech) Conference. The game consists of multiple sub-markets that pit a handful of rival technologies, each represented by a stock, against one another. The game´s object is to anticipate future search buzz and buy and sell stocks accordingly. Thus, a player who believes BitTorrent stock is undervalued might buy shares, while a player who thinks BitTorrent is overpriced might sell the stock or instead purchase shares in a competing peer-to-peer technology. The Tech Buzz Game serves two key research-oriented goals. One is to evaluate the power of prediction markets to forecast high-tech trends. The other goal of the Tech Buzz Game is to field test the dynamic pari-mutuel market, a Yahoo! Research Labs trading mechanism designed to price and allocate shares.
  • Keywords
    Internet; computer games; economic forecasting; stock markets; BitTorrent stock; Internet-based prediction markets; Tech Buzz Game; decision markets; information markets; peer-to-peer technology; stock buying; stock selling; Costs; Current measurement; Economic forecasting; International collaboration; Internet; Ontologies; Peer to peer computing; Radar; Testing; WiMAX; IT systems; entertainment computing; online games; prediction markets;
  • fLanguage
    English
  • Journal_Title
    Computer
  • Publisher
    ieee
  • ISSN
    0018-9162
  • Type

    jour

  • DOI
    10.1109/MC.2005.243
  • Filename
    1463120