A search of investors' trading practices in the Bangladesh capital market

Author:

Ghosh Sutap KumarORCID

Abstract

PurposeThis research mainly intends to ascertain the stimulus of investor investment tendencies on the amount of capital investment in the share market.Design/methodology/approachUtilizing a sample of 477 individual investors who actively trade on the Bangladesh capital market, this empirical study was conducted. The objective of this examination is to ascertain the investment trading behavior of retail investors in the Bangladesh capital market using multiple regression, hypothesis testing and correlation analysis.FindingsThe coefficients of market categories, preferred share price ranges and investment source reveal negative predictor correlations; all predictors are statistically significant, with the exception of investment source. Positive predictive correlations exist between investor category, financial literacy degree, investment duration, emotional tolerance level, risk consideration, investment monitoring activities, internal sentiment and correct investment selection. Except for risk consideration and investment monitoring activities, all components have statistically significant predictions. The quantity of capital invested in the stock market is heavily influenced by the investment duration, preferred share price ranges, investor type, emotional toleration level and decision-making accuracy level.Research limitations/implicationsThis investigation was conducted exclusively with Bangladeshi individual stockholders. Therefore, the existing study can be extended to institutional investors and conceivably to other divisions. It is possible to conduct this similar study internationally. And the query can enlarge with more sample size and use a more sophisticated econometric model. Despite that the outcomes of this study help the regulatory authorities to arrange more informative seminars and consciousness programs.Practical implicationsThe conclusions have practical implications since they empower investors to modify their portfolios based on elements including share price ranges, investment horizons and emotional stability. To improve chances of success and reach financial objectives, they stress the significance of bettering financial understanding, active monitoring and risk analysis. Results can also be enhanced by distributing ownership over a number of market sectors and price points. The results highlight the value of patience and giving potential returns enough time.Originality/valueThis study on the trading behavior of investors in Bangladesh is unique and based on field study, and the findings of this study will deliver information to the stakeholders of the capital market regarding the investors’ trading behavior belonging to different categories, financial literacy level, investment duration, emotional tolerance level and internal feeling.

Publisher

Emerald

Subject

General Earth and Planetary Sciences,General Engineering,General Environmental Science

Reference52 articles.

1. Factors influencing individual investors’ behavior: An empirical study of Pakistan financial markets;Journal of Business and Financial Affairs,2017

2. Factors affecting the individual decision making: A case study of islamabad stock exchange;European Journal of Economic Studies,2016

3. Behavioral aspects of individual investors for investment in Bangladesh stock market;International Journal of Ethics in Social Sciences,2013

4. Factors influencing individual investor behavior: An empirical study of the UAE financial markets;The Business Review,2006

5. Capital Market Investors’ Attitudes in Bangladesh: Evidence and Policy Implications;International Journal of Economics, Finance and Management Sciences,2016

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