The annual income earned plays a very important role in stock investing as it influences several dimensions of the investment process. The main goal of this research was to examine the role of the annual income earned by the secondary equity investors in the decision- making process. The research is exploratory in nature where a questionnaire survey was conducted on a sample of 436 secondary equity investors residing in the Chennai city of India. The data was analysed using quantitative techniques like ANOVA, Multinomial Logistic Regression, Discriminant and Cross Tabulation. The ANOVA results revealed that except in economy analysis and company analysis, the investors belonging to the various income groups differed in all the other decision-making techniques. When divided in terms of gender and age as well, the results were significant. The Multinomial logistic regression analysis resulted in a robust model which showed that industry analysis, technical analysis, gender*advocate recommendation and gender*equity investment knowledge are significant predictors of the annual income. The Discriminant model developed to predict the returns earned in equity investments showed that only the industry analysis and company analysis have a positive relationship with the equity returns. The demographic and financial profile of the high- and low-income investors were examined in the Cross-tabulation analysis. The main outcomes of the study are (i) older investors are less likely to belong to the low income group compared to the average income group; (ii) the low-income investors are likely to be male investors with decreased equity investment knowledge; (iii) investors who employ industry analysis are more likely to belong to the high income group and those who employ technical analysis are less likely to belong to the high income group compared to the average income group and (iv) investors with more equity investment knowledge are more likely to belong to the high income group compared to the average income group. The results also show that adopting industry analysis and/or company analysis may lead to a higher probability of earning higher returns in the equity market whereas the adoption of economy analysis, technical analysis and/or advocate recommendation lead to lower returns. This study would guide investors and advisors to examine the direct and indirect influences of the income earned. Government bodies and investor associations need to focus on the low income investors who are more vulnerable to financial blunders owing to their financial issues.
La toma de decisiones en el complejo mercado de valores es una tarea exigente dada la enorme cantidad de información disponible y la amplia gama de técnicas de toma de decisiones disponibles. La educación financiera de los inversores juega un papel destacado para influir en su proceso de toma de decisiones. Aunque el mercado de valores indio es el tercero más grande de Asia, solo alrededor del 3% de sus hogares invierten en mercados de valores. El nivel de educación financiera del inversor indio debe evaluarse para que haya una mayor participación en el mercado de valores y se obtengan mayores rendimientos. Este estudio tiene como objetivo determinar el efecto moderador de la educación financiera en la relación entre las herramientas de toma de decisiones y los rendimientos de las acciones obtenidos en el mercado secundario de acciones de la India. Las herramientas de toma de decisiones incluyen el análisis fundamental: (i) análisis económico, (ii) análisis de la industria, (iii) análisis de la empresa, (iv) análisis técnico y (v) recomendación deasesores. Los datos se recopilaron a través del método de encuesta de cuestionario y a través de una muestra válida de 436 cuestionarios, se probó la importancia del efecto moderador. Usando el complemento Process Macro en SPSS, se realizó el análisis de moderación. Los resultados revelan que la educación financiera solamente moderó la relación entre el análisis económico y los rendimientos de las acciones.
Decision-making in an unfamiliar environment like the stock market is a difficult task, particularly given the immense amount of information and peer pressure. This study aims to analyze the influence of investors’ personality, assessed using the Big Five personality model, on investors’ decision-making in the Indian secondary equity market. Indian secondary equity investors in the city of Chennai were selected as the study population, and data was gathered from a sample of 436 investors using the questionnaire survey method. A Pearson correlation analysis was conducted to study the relationships between investors’ decision-making tools and personality dimensions, and significant correlation relationships were identified. Multiple linear regression was then used to analyze the linear relationship between the returns earned from equity investment and the personality dimensions and decision-making tools, as well as several demographics and financials. The results of the study could help investors better understand their equity decision-making in terms of the influence of their personality and guide them to adopt appropriate decision-making tools to increase their equity returns. Financial advisors could also benefit from this study as it would allow them to correlate their clients’ personalities and decision-making tools and suggest the most appropriate investment strategies.
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