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Misinformation About Dividend Payouts Influences Transaction Prices in Experimental Asset Markets Cover

Misinformation About Dividend Payouts Influences Transaction Prices in Experimental Asset Markets

Open Access
|Dec 2019

Abstract

AIMS: The paper investigates the effects of misinformation regarding dividend payouts on bubble formation, asset pricing and individual investment returns in experimental asset markets, when correct information about the expected dividends and their probabilities is also available.

METHOD: In two experiments, totaling34 Smith-Suchanek-Williams type double-auction continuous experimental markets (238 subjects), participants were exposed to misinformation regarding dividend payouts in a previous game, with the correct dividend matrix also provided. The misinformation stated the dividends in the previous game to have been much lower or much higher than according to the expected value function. The misinformation was either homogenous for all participants or provided to only half of the investors in a market (heterogeneously).

RESULTS:Homogenous misinformation stating that the last game’s dividend payouts were high, led to larger overpricing throughout the game, as compared to baseline (no misinformation) and homogenous misinformation stating that the last game’s dividends were low. In informationally heterogeneous markets, where half of the participants received “high dividends” misinformation and half remained non-misinformed, transaction prices were the lowest compared to the aforementioned treatments. It was also discovered that agents receiving the ‘high dividend’ misinformation had lower returns than non-misinformed participants in the same heterogeneous market.

Language: English
Page range: 44 - 54
Submitted on: Jul 17, 2018
Accepted on: Nov 14, 2019
Published on: Dec 31, 2019
Published by: University of Information Technology and Management in Rzeszow
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2019 Mateusz Polak, Romuald Polczyk, published by University of Information Technology and Management in Rzeszow
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.