尼泊尔股市个人投资者行为因素与投资绩效之关系

K. Kunwar
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引用次数: 2

摘要

近年来,市场异常和投资者的非理性行为影响了全球股票市场。投资者行为对股票市场的影响在规模小、效率低的资本市场中更为突出。该研究基于对来自加德满都和博卡拉的203名投资者的问卷调查。本研究采用探索性因子分析(EFA),利用主成分分析和变量最大化旋转来探索投资者行为的潜在维度。使用KMO和Barlett的球形度检验对因子分析数据的适用性进行了检验。EFA提取了投资者行为维度的四个因素:启发式因素、前景因素、市场因素和羊群效应。从EFA获得的因子得分被用来检验这些行为因素与投资绩效的相关性。结果表明,尼泊尔个人投资者存在启发式、前景、市场因素和羊群效应等行为偏差。在这些因素中,投资者的投资绩效受到启发式因素和市场因素的影响。启发式行为对投资绩效的正向影响最大。最后,研究结果表明,在市场和前景中,从众行为不会导致投资者绩效的改善。研究结果有助于理解投资者行为在股票市场中的作用,并有助于制定适当的政策来限制行为偏差对股票市场产生不利影响的可能性。
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The Relationship of Behavioral Factors with Investment Performance of Individual Investors in the Nepali Stock Market
In recent years, the market anomalies and irrational behavior of investors have influenced the stock market worldwide. The impact of investor behavior on the stock market is more prominent in small and less efficient capital markets. The study is based on the questionnaire survey of 203 investors from Kathmandu and Pokhara. The study uses Exploratory Factor Analysis (EFA) to explore the underlying dimensions of investor behavior employing Principal Component Analysis and Varimax rotation. The suitability of the data for the factor analysis has been examined using KMO and Barlett’s Test of Sphericity. The EFA extracted four factors of investor behavioral dimensions categorized as: heuristics, prospects, market factors and herding effect. The factor scores obtained from the EFA was used to examine the correlation of these behavioral factors with investment performance. The results reveal that behavioral biases like heuristics, prospects, market factor and herding effect are present among individual investors in Nepal. Among the factors, the investment performance of investors is found to be influenced by heuristics and market factors. The heuristic behaviors are found to have the highest and positive influence on the investment performance. Finally, the results depict that following the herd behavior in the market and prospects does not result in the improved investor performance. The findings are helpful to understand the role of investor behavior in the stock market and formulation of appropriate policies that limit the possibility of behavioral biases affecting the stock market adversely.
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