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      The specific factors of heterogeneity characterizing investors’ beliefs

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          Abstract

          Abstract Purpose: A separate study of the different behavioral biases does not allow for a full understanding of the complexity and stability of the heterogeneity of beliefs. Therefore, through a more global view of these anomalies, the authors wish to show that they can converge on a single concept, which is the heterogeneity of beliefs. Design/methodology/approach: It is therefore essential to stress that the importance of this study is mainly reflected in the methodological approach used in the construction and analysis of the map and not only in the results achieved. This contribution states that structural analysis, as a means of building the cognitive map, can facilitate the task of investors and other decision-makers, in the identification and analysis of the heterogeneity of beliefs that can therefore guide investors' strategy in decision-making. Findings: The authors have studied the behavior of the investor and its way of interpreting the information and the authors have emphasized the value of studying the concept of heterogeneity of beliefs in its complexity. So that part of the work seems to be relevant and crucial to filling, if you will, that void. In this sense, the authors have shown that behavioral abnormalities are multidimensional concepts: “self-deception”, “cognitive bias”, “emotional bias” and “social bias”. Originality/value: In particular, this article will aim to achieve the objective of proposing a model for measuring the heterogeneity of beliefs. Thus, the authors want to show that the heterogeneity of beliefs can be measured directly through the different behavioral anomalies.

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          Most cited references50

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          Are Investors Reluctant to Realize Their Losses?

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            Does the Stock Market Overreact?

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              On the nature of self-monitoring: matters of assessment, matters of validity.

              An extensive network of empirical relations has been identified in research on the psychological construct of self-monitoring. Nevertheless, in recent years some concerns have been expressed about the instrument used for the assessment of self-monitoring propensities, the Self-Monitoring Scale. Both the extent to which the measure taps an interpretable and meaningful causal variable and the extent to which the self-monitoring construct provides an appropriate theoretical understanding of this causal variable have been questioned. An examination of reanalyses of studies of self-monitoring, analyses of the internal structure of the Self-Monitoring Scale, and further relevant data suggest that the measure does tap a meaningful and interpretable causal variable with pervasive influences on social behavior, a variable reflected as a general self-monitoring factor. We discuss the evaluation and furthering of the interpretation of this latent causal variable, offer criteria for evaluating alternative measures of self-monitoring, and present a new, 18-item Self-Monitoring Scale.
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                Author and article information

                Journal
                jefas
                Journal of Economics, Finance and Administrative Science
                Journal of Economics, Finance and Administrative Science
                Universidad ESAN (Lima, , Peru )
                2077-1886
                January 2024
                : 29
                : 57
                : 77-97
                Affiliations
                [2] Sfax orgnameISAAS Tunisia
                [1] Sfax orgnameUniversit_e de Sfax orgdiv1Faculte des Sciences Economiques et de Gestion de Sfax Tunisia
                Article
                S2077-18862024000100077 S2077-1886(24)02905700077
                10.1108/jefas-09-2021-0195
                f37e16ac-7755-4652-8ec5-5aba80615b66

                This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

                History
                : 30 September 2023
                : 28 September 2023
                Page count
                Figures: 0, Tables: 0, Equations: 0, References: 50, Pages: 21
                Product

                SciELO Peru

                Categories
                Articles

                Behavioral approach,Structural analysis,Mental models,Cognitive mapping,Corporate governance

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