Arbeitspapier

Multidimensional noise and non-fundamental information diversity

In this paper, I relax the common assumption of the one-dimensionality of noise made in the standard competitive noisy rational expectations framework. Within an environment characterized by multidimensional noise, I explore the strategic interactions between different traders that are informed about different components of the noise inherent in the market price. I find that agents' trades against different types of noise are complements due to an inference augmentation effect. As one group trades more aggressively against the part of the noise they observe, the market price becomes a more precise signal for fundamentals for the other noise-informed groups. Since traders use their information about noise together with the market price in order to infer information about fundamentals, this makes the other groups trade more aggressively against their observed piece of noise, too. Strategic complementarities can also be found in the information market. Both acquiring information about the same type and about different types of noise can be complements.

Sprache
Englisch

Erschienen in
Series: BGPE Discussion Paper ; No. 201

Klassifikation
Wirtschaft
Existence and Stability Conditions of Equilibrium
General Equilibrium and Disequilibrium: Financial Markets
Asset Pricing; Trading Volume; Bond Interest Rates
Behavioral Finance: General‡
Thema
Rational Expectations Equilibrium
Complementarities
Noise Trading
Non-Fundamental Information

Ereignis
Geistige Schöpfung
(wer)
Russ, David
Ereignis
Veröffentlichung
(wer)
Friedrich-Alexander-Universität Erlangen-Nürnberg
(wo)
Erlangen und Nürnberg
(wann)
2020

Handle
Letzte Aktualisierung
10.03.2025, 11:42 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Russ, David
  • Friedrich-Alexander-Universität Erlangen-Nürnberg

Entstanden

  • 2020

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