Trading Institutions in Experimental Asset Markets: Theory and Evidence

Autor: Steven Tucker, Daniela Puzzello, Bulent Guler, Volodymyr Lugovskyy
Rok vydání: 2021
Předmět:
Zdroj: SSRN Electronic Journal.
ISSN: 1556-5068
DOI: 10.2139/ssrn.3968193
Popis: We report the results of an experiment designed to study the role of trading institutions in the formation of bubbles and crashes in laboratory asset markets. We employ three trading institutions: Call Market, Double Auction, and T\^atonnement. The results show that bubbles are significantly smaller in uniform-price institutions than in Double Auction. We reproduce this and other critical patterns of the data by calibrating a heterogeneous agent model with fundamental and myopic-noise traders. The model produces larger bubbles under Double Auction because multiple trades occur within a period, amplifying the impact of myopic traders with positive bias on transaction prices.
Databáze: OpenAIRE