Behavioral Attributes Influencing Decision Making of Indian Derivative Market Investors

LG Honey Singh, Amar Kumar Chaudhary
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Abstract

Aim: The retail investors of the Indian investment landscape are found to base their investment decisions on several factors that may not be entirely attributed to price movement and information availability. Various studies have been conducted to capture these behavioral attributes that may invariably have an influencing effect either knowingly or unknowingly on the investors. This study aims to identify these behavioral biases influencing investor’s decision-making when they are active participants in the Indian Derivative market. Methodology: The study is conducted using primary data over 200 derivative investors within the northern Indian subcontinent aged between 18 years to 50 years. A questionnaire has been adapted from the defined scales from literature and uses the Likert scale to measure the behavioral patterns of investors. A cross-sectional survey method is used to distribute the questionnaire both online and offline. Factor analysis is then employed to identify the latent variables impacting the decision-making. Results: The sample under study generated six factors that have a significant influence on decision-making. These factors include Herding bias, Overconfidence bias, Risk Aversion, Market Responsiveness, Information processing Style and Information Reliance. All these factors have a significant influence on the investors buying and selling behavior in the Indian derivative market. A reliability test was run to assess the reliability of the factors where the Cronbach alpha was found to be above 0.8 for all the factors which shows a strong internal coherence among the factors.
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影响印度衍生品市场投资者决策的行为特征
目的:在印度的投资环境中,散户投资者的投资决策基于多种因素,而这些因素可能并不完全归因于价格变动和信息可用性。为了捕捉这些行为属性,已经开展了多项研究,这些行为属性可能会有意无意地对投资者产生影响。本研究旨在确定这些影响投资者决策的行为偏差,因为他们是印度衍生品市场的积极参与者。研究方法:本研究使用了印度次大陆北部 200 名年龄在 18 岁至 50 岁之间的衍生品投资者的原始数据。根据文献中定义的量表改编了一份问卷,使用李克特量表来测量投资者的行为模式。问卷采用横断面调查法,在线和离线发放。然后采用因子分析来确定影响决策的潜在变量。研究结果研究样本产生了对决策有重大影响的六个因素。这些因素包括羊群偏差、过度自信偏差、风险厌恶、市场反应能力、信息处理风格和信息依赖。所有这些因素都对投资者在印度衍生品市场的买卖行为有重大影响。为了评估各因子的可靠性,我们进行了可靠性测试,结果发现所有因子的 Cronbach alpha 均高于 0.8,这表明各因子之间具有很强的内部一致性。
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