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Development and validation of behavioral biases scale: a SEM approach

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  • Ritika
  • Nawal Kishor

Abstract

Purpose - This paper attempts to identify the biases in decision-making of individual investors. The paper aims to develop and validate a higher-order behavioral biases scale. Design/methodology/approach - Scale development is done by identifying the relevant items of the scale through existing literature and then, adding new items for some biases. In phase 1, using a structured questionnaire, data was collected from 274 investors who invest in financial markets. The major dimensions of the scale have been pruned by using exploratory factor analysis administered on data collected in phase 1. Higher-order CFA is used to analyze the data and to validate the scale on another set of data (collected in phase 2) containing 576 investors. Findings - The study reveals that the scale for measuring behavioral biases has many dimensions. It has two second-order factors and 13 zero-order constructs. Two second-order constructs have been modeled on the basis of cause of errors in investment decision-making, that is, biases caused due to cognition, biases caused due to emotions. Originality/value - Behavioral biases are yet to receive a due attention, especially, in the Indian context. The present research is focusing on providing an empirically tested scale to test the behavioral biases. Some of the biases, which have been analyzed using secondary data in previous studies, have been tested with the help of statements in this study.

Suggested Citation

  • Ritika & Nawal Kishor, 2020. "Development and validation of behavioral biases scale: a SEM approach," Review of Behavioral Finance, Emerald Group Publishing Limited, vol. 14(2), pages 237-259, November.
  • Handle: RePEc:eme:rbfpps:rbf-05-2020-0087
    DOI: 10.1108/RBF-05-2020-0087
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    2. Goodell, John W. & Kumar, Satish & Rao, Purnima & Verma, Shubhangi, 2023. "Emotions and stock market anomalies: A systematic review," Journal of Behavioral and Experimental Finance, Elsevier, vol. 37(C).

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