• Medientyp: E-Book
  • Titel: Statisticians' Equilibrium : Trading with High-Dimensional Data
  • Beteiligte: Balasubramanian, Anirudha [Verfasser:in]; Yang, Yilin (David) [Sonstige Person, Familie und Körperschaft]
  • Erschienen: [S.l.]: SSRN, [2020]
  • Umfang: 1 Online-Ressource (43 p)
  • Sprache: Englisch
  • DOI: 10.2139/ssrn.3583217
  • Identifikator:
  • Entstehung:
  • Anmerkungen: Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments January 7, 2019 erstellt
  • Beschreibung: This paper uses a one period model to establish a connection between the complexity of informational environment, market efficiency, and volume. Introducing a high-dimensional estimation problem into a typical trading game, we show why agents may not condition on price in their demand curve submissions, and come to possess heterogeneous models. We define a new equilibrium concept, the “rational statisticians' equilibrium,” wherein each agent uses only a ridge regression estimator on her own data to forecast the fundamental's distribution. We derive quantitative properties of price informativeness and volume in these equilibria, introducing the notion of a “regularization externality” in price formation and accounting for volume spikes around earnings
  • Zugangsstatus: Freier Zugang