Article

A Predictive Investment Scheme for Dhaka Stock Exchange

Downloads

Kamal, A. H. M., & Abdullah, M. K. (2022). A Predictive Investment Scheme for Dhaka Stock Exchange. Digital Technologies Research and Applications, 1(1), 6–12. https://doi.org/10.54963/dtra.v1i1.26

Authors

Stock market plays a vital role in industrial development of a country. People invest money to make profit from market. Inexperience investors cannot yield profit due to their weak predictions. This research tries to understand the nature of those investors and their demands. Most investors first analyze the prospect of companies based on rate of up-down in prices of share, given bonus, companies’ goodwill, temptation by others, etc.. This research presents a good prediction methodology for the stock market investors and thus, will help them to achieve a profit. It will improve the stability of a market.

Keywords:

Stock exchange market Trade Electronic trading Share Dividend DSE Prediction

References

  1. Dhaka Stock Exchange Limited, www.dsebd.org, last visited on 26/11/2021.
  2. Sukhija, Sunita, 2014. A study regarding analyzing recessionary impact on fundamental determinants of stock prices in India share market. European Journal of Business and Management. 6(4), 161-168.
  3. Al-Shubiri, Faris Nasif, 2010. Analysis the determinants of market stock price movements: An empirical study of Jordanian commercial banks. International Journal of Business and Management. 5(10), 137.
  4. The New York Stock Exchange, 2021. www.NYSE. com, last visited on 26/11/2021.
  5. Sarker, M.M., Nargis, N., 2012. Identifying the critical issues of stock market: a study on Dhaka stock exchange (DSE). International Journal of Applied Research in Business Administration & Economics. 1.03, 48-55.
  6. Uddin, Md Gazi Salah, Md Mahmudul Alam, 2007. The impacts of interest rate on stock market: empirical evidence from Dhaka Stock Exchange. South Asian Journal of Management and Sciences. 1(2), 123-132.
  7. Faruqui, Farhan, Md Habibur Rahman, 2013. Factors Influencing the Crash in the Share Market in Dhaka Stock Exchange. Research Journal of Finance and Accounting. 4(7), 139-147.
  8. Islam, S., Murshedul Arafin, Fatema Tuz Zohora, 2017. Factors affecting share price of cement industry: A study on listed cement companies of DSE. Eur. J. Business, Econ. Account 5(6), 48-66.
  9. Ali, Mohammad Bayezid, 2011. Impact of micro and macroeconomic variables on emerging stock market return: A case on Dhaka stock exchange (DSE). Interdisciplinary Journal of Research in Business. 1(5), 8-16.
  10. Sadat, Ahmed Raihan, Md Emran Hasan, 2019. Testing weak form of market efficiency of DSE based on random walk hypothesis model: a parametric test approach. International Journal of Accounting and Financial Reporting. 9(1), 400-413.
  11. Alam, Md, Kazi Alam, Gazi Uddin, 2007. Market depth and risk return analysis of dhaka stock exchange: an empirical test of market efficiency. ASA University Review. 1(1), 93-101.
  12. Chaity, Naznin Sultana, Sanjida Sharmin, 2012. Efficiency measures of capital market: a case of Dhaka stock exchange. International Journal of Business and Management. 7(1), 102.
  13. Choudhury, Md Ariful Haque, 2013. Stock Market Crash in 2010: An Empirical Study on Retail Investor's Perception in Bangladesh. ASA University Review. 7.1.
  14. Hossan, Mohd, 2014. Forecasting on DSE General Index and Identifying the Main Reasons Behind the Recent Market Crash. ASA University Review. 8.2.
  15. Khan, Fatima, Farhana Afrin, Mirza Arifur Rahman, 2015. Factors influencing investors’ decisions in stock market investment in Bangladesh: a study on Khulna City. Journal of Finance and Accounting. 3(6), 198-204.
  16. Ghosh, Protap Kumar, Sutap Kumar Ghosh, 2015. Stock price adjustment to corporate accounting disclosure: A quantitative study on Dhaka stock exchange (DSE), Bangladesh. International Journal of Accounting and Financial Reporting. 5(2), 122-132.
  17. Uddin, Mohammed Belal, 2009. Determinants of market price of stock: A study on bank leasing and insurance companies of Bangladesh. Journal of modern Accounting and Auditing. 5(7), 1.
  18. Gosswami, Tapashi, Sanjit Kumar Saha, Mahmudul Hasan, 2018. Stock market data analysis and future stock prediction using neural network. International Journal of Computer Science and Information Security (IJCSIS). 16.9.
  19. Rahat, M.D., Maher Mohammed Helal Uddin Choudhury, Abdur Rouf Sarker, 2008. Share market optimization: a web based system to predict share market using different kinds of economic factor. PhD Diss. BRAC University.
  20. Mannan, Kazi Abdul, Farhana, Dr Khandaker Mursheda, Khan Chowdhury, Torab, November 23, 2014. Rural Household Contribution to the Financial and Capital Market in Bangladesh: A Micro Level Study of Remittances from Italy. International Journal of Management Sciences and Business Research. 3(10), 112-122.
  21. Banik, Shipra, A.F.M., Khodadad Khan, Mohammad Anwer, 2014. Hybrid machine learning technique for forecasting dhaka stock market timing decisions. Computational Intelligence and Neuroscience.
  22. Dashore, Pankaj, Suresh Jain, 1973. Fuzzy rule based system to characterize the decision making process in share market. International Journal on Computer Science and Engineering. 2(6), 2010.
  23. Rony, Ismail Hossain, et al., 2019. Share market forecasting with LSTM neural network and sentimental trend prediction. PhD Diss. Brac University.
  24. Meesad, Phayung, Risul Islam Rasel, 2013. Dhaka Stock Exchange trend analysis using support vector regression. The 9th International Conference on Computing and InformationTechnology (IC2IT2013). Springer, Berlin, Heidelberg.
  25. Zahan, Arafat, Md Shohel Rana, 2020. Stock price reaction to dividend announcement: An empirical study on Dhaka stock exchange (DSE). Journal of Management, Economics, and Industrial Organization. 4(2), 1-27.
  26. Mamun, Abdullahil, Nazamul Hoque, Abdullah Mohammad Ahshanul Mamun, 2013. Stock Price Reaction to dividend announcement: the case of Bangladesh Capital market. Journal of Economics and Sustainable Development. 4(8), 89-98.