Author(s):
Azeeza Begum, Janet Jyothi Dsouza, Dinesh K
Email(s):
janetjyothidsouza@gmail.com
DOI:
10.52711/2321-5763.2023.00015
Address:
Azeeza Begum1, Janet Jyothi Dsouza2, Dinesh K3
1Department of Management Studies, Ballari Institute of Technology and Management, Ballari, Karnataka.
2Professor and HOD, Department of Management Studies, Ballari Institute of Technology and Management, Ballari, Karnataka 583104.
3Assistant Professor, Department of Management Studies, Ballari Institute of Technology and Management, Ballari, Karnataka 583104.
*Corresponding Author
Published In:
Volume - 14,
Issue - 1,
Year - 2023
ABSTRACT:
The study deals with stock performance of Indian companies. To measure the stock market performance, the study applied Sharpe and Treynor ratio. The sample of BSE-100 stocks for the period of 10 years are used. The results show that Aurobindo Pharma (0.760373807) and Axis Bank (117.4119294) are the top ranked companies in terms of performance. This study will help the retail investors to anlyse the stock market investment for the long run.
Cite this article:
Azeeza Begum, Janet Jyothi Dsouza, Dinesh K. A Study on Stock Market Performance by using Sharpe and Treynor Ratio. Asian Journal of Management.2023;14(1):94-0. doi: 10.52711/2321-5763.2023.00015
Cite(Electronic):
Azeeza Begum, Janet Jyothi Dsouza, Dinesh K. A Study on Stock Market Performance by using Sharpe and Treynor Ratio. Asian Journal of Management.2023;14(1):94-0. doi: 10.52711/2321-5763.2023.00015 Available on: https://ajmjournal.com/AbstractView.aspx?PID=2023-14-1-15
REFERENCES:
1. Sari, E. (2022) Evaluation Performance of Stock Portfolio Using the Risk Adjusted Performance Methods the Case of LQ 45 Index in Indonesia Stock Exchange. https://doi.org/10.26487/hjbs.v4i2
2. Lai, F., Zhu, S., Feng, Q., and Yao, Y. (2021). Effects of Financial Market Information on Firms’ Productivity Under Operating Pressure and Financial Constraints: Evidence from the Chinese Stock Market. SAGE Open, 11(4). https://doi.org/10.1177/21582440211061377
3. Hasnat, T. (2021). Infrastructure Equity and Firm Performance in India. Millennial Asia, 12(1), 97–115. https://doi.org/10.1177/0976399620948318
4. Khurram, M. U., Hamid, K., and Javeed, S. A. (2021). Association of Mutual Fund Risk Measures and Return Parameters: A Juxtapose of Ranking for Performance in Pakistan. Journal of Asian Finance, Economics and Business, 8(2), 25–39. https://doi.org/10.13106/jafeb.2021.vol8.no2.0025
5. Wu, M. E., Syu, J. H., Lin, J. C. W., and Ho, J. M. (2021). Portfolio management system in equity market neutral using reinforcement learning. Applied Intelligence, 51(11), 8119–8131. https://doi.org/10.1007/s10489-021-02262-0
6. Ramadhan Putra, B., and Faisal Husein Mutiara Cemerlang Teknologi Sidoarjo, R. P. (2021) The Performance of the Socially Responsible Investment Index in Indonesia. Journal of Finance and Islamic, 4(2). https://doi.org/10.22515/jfib.v4i2.4901
7. Alwi, W., Nurhafsari., B., Syata, I., Ibnas, R., and Anugrawati, S. D. (2021). Portfolio Performance Evaluation for LQ 45 Index in 2016-2020 Periods Using the Treynor Method. Proceedings of the 1st International Conference on Mathematics and Mathematics Education (ICMMEd 2020), 550(Icmmed 2020), 83–88. https://doi.org/10.2991/assehr.k.210508.046
8. Fahling, E. J., Ghiani, M., and Simmert, D. (2020). Small versus Large Caps—Empirical Performance Analyses of Stock Market Indices in Germany, EU and amp; US since Global Financial Crisis. Journal of Financial Risk Management, 09(04), 434–453. https://doi.org/10.4236/jfrm.2020.94023
9. Mishra, P. K., and Mishra, S. K. (2020). Corona Pandemic and Stock Market Behaviour: Empirical Insights from Selected Asian Countries. Millennial Asia, 11(3), 341–365. https://doi.org/10.1177/0976399620952354
10. Singh, B., Dhall, R., Narang, S., and Rawat, S. (2020). The Outbreak of COVID-19 and Stock Market Responses: An Event Study and Panel Data Analysis for G-20 Countries. Global Business Review. https://doi.org/10.1177/0972150920957274
11. Liu, L., and Chen, Q. (2020). How to compare market efficiency? The Sharpe ratio based on the ARMA-GARCH forecast. Financial Innovation, 6(1). https://doi.org/10.1186/s40854-020-00200-6
12. Zaigham, G. H. K., Wang, X., and Ali, H. S. (2019). Causal Relation Between Stock Market Performance and Firm Investment in China: Mediating Role of Information Asymmetry. SAGE Open, 9(4). https://doi.org/10.1177/2158244019885146
13. Qur’anitasari, Q., Nuzula, N. F., and Darmawan, A. (2019). Critical Analysis of Sharpe, Treynor and Jensen Methods in Analyzing Stock Portfolio Performance LQ-45 Stock Studies. Asia Pacific Management and Business Application, 008(02), 89–104. https://doi.org/10.21776/ub.apmba.2019.008.02.2
14. Pulungan, D. P., Wahyudi, S., Suharnomo, S., and Muharam, H. (2019). The performance evaluation of the state-owned enterprise’s stocks in Indonesia. Investment Management and Financial Innovations, 16(2), 140–149. https://doi.org/10.21511/imfi.16(2).2019.12
15. Robiyanto, R., Santoso, M. A., and Ernayani, R. (2019). Sharia mutual funds performance in Indonesia. Business: Theory and Practice, 20, 11–18. https://doi.org/10.3846/btp.2019.02
16. Otrykus, M. (2018). Comparison of investment performance measures using the example of selected stock exchanges. financial sciences, 23(2), 30–46. https://doi.org/10.15611/fins.2018.2.03
17. Robiyanto, R. (2018). Performance Evaluation of Stock Price Indexes in the Indonesia Stock Exchange. International Research Journal of Business Studies, 10(3), 173–182. https://doi.org/10.21632/irjbs.10.3.173-182
18. Sinha 1, A. K., and Jacob 2, A. J. (2018). The Performance of Stock Portfolios formed using Fuzzy Logic. Financial Statistical Journal, 1(2). https://doi.org/10.24294/fsj.v1i2.814
19. Floros, C., Tabouratzi, E., Charamis, D., and Zounta, S. (2017). Accounting and Stock Market Performance in the US: Evidence from Joiners and Leavers. Theoretical Economics Letters, 07(04), 696–708. https://doi.org/10.4236/tel.2017.74050
20. Wang, L., Yang, Y., and Ma, Y. (2017). The Impact of US Stock Market on the Co-Movements of BRIC Stock Markets—Evidence from Linear Conditional Granger Causality. Open Journal of Statistics, 07(05), 849–858. https://doi.org/10.4236/ojs.2017.75060
21. Tan, Ö. F. (2015). Mutual Fund Performance: Evidence From South Africa. EMAJ: Emerging Markets Journal, 5(2), 49–57. https://doi.org/10.5195/emaj.2015.83
22. Sahi, A., and Pahuja, Dr. A. (2015). Performance Evaluation of Selected Open Ended Equity Funds for the Post Recession Period: An Indian Perspective. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.2622404
23. Wang, L. (2014). Study on the Extreme Risk Spillover between China and World Stock Market after China’s Share Structure Reform. Journal of Financial Risk Management, 03(02), 50–56. https://doi.org/10.4236/jfrm.2014.32006
24. Yang, J. Y., and Lee, S.-H. (2013). A Study of Changes in Risk Appetite in the Stock Market and the Housing Market before and after the Global Financial Crisis in 2008 Using the vKOSPI. Modern Economy, 04(11), 712–722. https://doi.org/10.4236/me.2013.411077
25. Wei, J. (2013). The Efficiency Research on Stock Index Derivatives in a Bear Market—The Evidences from Hangseng Index Derivatives Markets. Technology and Investment, 04(02), 101–106. https://doi.org/10.4236/ti.2013.42012
26. Kolbadi, P., and Ahmadinia, H. (2011). Examining Sharp, Sortino and Sterling Ratios in Portfolio Management, Evidence from Tehran Stock Exchange. International Journal of Business and Management, 6(4). https://doi.org/10.5539/ijbm.v6n4p222
27. Chong, T. T.-L., Cheng, S. H.-S., and Wong, E. N.-Y. (2010). A Comparison of Stock Market Efficiency of the BRIC Countries. Technology and Investment, 01(04), 235–238. https://doi.org/10.4236/ti.2010.14029
28. Cho, V. (2010). MISMIS-A comprehensive decision support system for stock market investment. Knowledge-Based Systems, 23(6), 626–633. https://doi.org/10.1016/j.knosys.2010.04.009
29. Sarno, L., and Valente, G. (2005). Modelling and forecasting stock returns: Exploiting the futures market, regime shifts and international spillovers. Journal of Applied Econometrics, 20(3), 345–376. https://doi.org/10.1002/jae.787
30. Gençay, R. (1998). The predictability of security returns with simple technical trading rules. Journal of Empirical Finance, 5(4), 347–359. https://doi.org/10.1016/S0927-5398(97)00022-4