It is All About Information: Six Common Fallacies in Financial Economics

Based on the results of a simple Agent Based Model (ABM) six common and widely affirmed statements in financial economics are discussed: (1) The better an investor is informed, the higher his performance is expected to be, (2) There is a well-defined state of art how to make sound financial decisions, (3) High standards of public information create private as well as public value, (4) Highly skilled financial analysts usually decide better than their lousy colleagues, (5) The market loses informational efficiency if traders abstain from information, (6) To use Bayes’ updating rule means to make rational financial decisions. Financial markets are complex adaptive systems, in order to understand them, the interaction of autonomous agents has to be brought into the focus. As the ABM methodology allows to do this better than neoclassical methods, this simple technique is adopted and allows to evidence that all these beliefs, even if they may be deeply rooted in the profession, are probably false.

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Publication Details

Journal
Journal of Information Economics
Published
2024-12-15
DOI
https://doi.org/10.58567/jie02040002
Primary Topic
Complex Systems and Time Series Analysis
Type
article
Field-Weighted Citation Impact
0.00
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article

It is All About Information: Six Common Fallacies in Financial Economics

Klaus Schredelseker
Journal of Information Economics
Complex Systems and Time Series Analysis
article

It is All About Information: Six Common Fallacies in Financial Economics

Klaus Schredelseker
article en

Abstract

Based on the results of a simple Agent Based Model (ABM) six common and widely affirmed statements in financial economics are discussed: (1) The better an investor is informed, the higher his performance is expected to be, (2) There is a well-defined state of art how to make sound financial decisions, (3) High standards of public information create private as well as public value, (4) Highly skilled financial analysts usually decide better than their lousy colleagues, (5) The market loses informational efficiency if traders abstain from information, (6) To use Bayes’ updating rule means to make rational financial decisions. Financial markets are complex adaptive systems, in order to understand them, the interaction of autonomous agents has to be brought into the focus. As the ABM methodology allows to do this better than neoclassical methods, this simple technique is adopted and allows to evidence that all these beliefs, even if they may be deeply rooted in the profession, are probably false.

Journal of Information EconomicsVol. 2(4)
Universität Innsbruck (AT), University of Florence (IT)
Peace, Justice and strong institutions
Openalex Percentile: Top 69%
Complex Systems and Time Series Analysis
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