Pricing in response to new information: The case of betting markets.

Markets are information aggregators. But how do they incorporate new data into their pricing? We examine the response of prediction markets to a novel information shock in a quasi‐natural experiment: How did the absence announcements of elite soccer players influence the betting odds of affected mat...

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Publicado en:Economic Inquiry Vol. 63; no. 1; pp. 236 - 265
Autores principales: Fischer, Kai, Schmal, W. Benedikt
Formato: Artículo
Publicado: Wiley-Blackwell Jan2025
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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        atl: Pricing in response to new information: The case of betting markets.
      aug:
        au:
          Fischer, Kai
          Schmal, W. Benedikt
        affil:
          Düsseldorf Institute for Competition Economics (DICE) at Heinrich Heine University Düsseldorf, Düsseldorf, Germany
          Economic Theory Group, Ilmenau University of Technology, Ilmenau, Germany
          Department for Management, Strategy, and Innovation (MSI), KU Leuven, Leuven, Belgium
      su:
        Prices
        Prediction markets
        Elite athletes
        Market pricing
        Market prices
      sug:
        subj:
          Prices
          Prediction markets
          Elite athletes
          Market pricing
          Market prices
      keyword:
        belief updating
        betting markets
        betting odds
        forecasting errors
        information shocks
        prediction markets
        pricing
        belief updating
        betting markets
        betting odds
        forecasting errors
        information shocks
        prediction markets
        pricing
      ab: Markets are information aggregators. But how do they incorporate new data into their pricing? We examine the response of prediction markets to a novel information shock in a quasi‐natural experiment: How did the absence announcements of elite soccer players influence the betting odds of affected matches? Analyzing the first four statistical moments of 117,174 odds from 32 bookmakers, we identify initial inertia followed by a lagged reaction that we cannot reason with learning. Our findings raise questions about how bettors and bookmakers incorporate new information into their beliefs. It has broader implications regarding information processing in markets.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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