比例(比率)
背景(考古学)
认知偏差
行为经济学
集合(抽象数据类型)
心理学
独创性
订单(交换)
计量经济学
价值(数学)
投资(军事)
认知
探索性因素分析
认知心理学
计算机科学
社会心理学
心理测量学
经济
机器学习
微观经济学
财务
临床心理学
创造力
法学
生物
古生物学
量子力学
政治学
程序设计语言
物理
神经科学
政治
出处
期刊:Review of Behavioral Finance
日期:2020-11-18
卷期号:14 (2): 237-259
被引量:37
标识
DOI:10.1108/rbf-05-2020-0087
摘要
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.
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