Evidence map›Paper›PMID 34828094›Full record

ArticleEntropy (Basel, Switzerland)2021

Entropy-Based Behavioural Efficiency of the Financial Market.

Emil Dinga, Camelia Oprean-Stan, Cristina-Roxana Tănăsescu, Vasile Brătian, Gabriela-Mariana Ionescu

Abstract read
In one paragraph

Article in Entropy (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Emil DingaCenter for Financial and Monetary Research, Romanian Academy, "Victor Slăvescu", 050711 Bucharest, Romania.
Camelia Oprean-StanFaculty of Economic Sciences, Lucian Blaga University of Sibiu, 550324 Sibiu, Romania.ORCID 0000-0003-3492-2401
Cristina-Roxana TănăsescuFaculty of Economic Sciences, Lucian Blaga University of Sibiu, 550324 Sibiu, Romania.
Vasile BrătianFaculty of Economic Sciences, Lucian Blaga University of Sibiu, 550324 Sibiu, Romania.ORCID 0000-0001-7621-3035
Gabriela-Mariana IonescuFaculty of Economic Sciences, Lucian Blaga University of Sibiu, 550324 Sibiu, Romania.ORCID 0000-0003-3329-5055

Funding

Hasso Plattner Foundation LBUS-HPI-ERG-2020-04
6 · The paper itself

Abstract

The most known and used abstract model of the financial market is based on the concept of the informational efficiency (EMH) of that market. The paper proposes an alternative which could be named the behavioural efficiency of the financial market, which is based on the behavioural entropy instead of the informational entropy. More specifically, the paper supports the idea that, in the financial market, the only measure (if any) of the entropy is the available behaviours indicated by the implicit information. Therefore, the behavioural entropy is linked to the concept of behavioural efficiency. The paper argues that, in fact, in the financial markets, there is not a (real) informational efficiency, but there exists a behavioural efficiency instead. The proposal is based both on a new typology of information in the financial market (which provides the concept of implicit information-that is, that information "translated" by the economic agents from observing the actual behaviours) and on a non-linear (more exactly, a logistic) curve linking the behavioural entropy to the behavioural efficiency of the financial markets. Finally, the paper proposes a synergic overcoming of both EMH and AMH based on the new concept of behavioural entropy in the financial market.

Indexed as

AMHbehaviourEBBEefficiencyEMHentropyfinancial marketimplicit information

Identifiers

PMID34828094
PMCPMC8621921

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.