Abstract
This study focuses on equity fund performance in the Malaysian market with three different time frames (daily, monthly, and yearly) and examines the relationship between its expected return and liquidity timing. Traditional financial ratios such as Sharpe, Jensen Alpha, Treynor index, and Capital Asset Pricing Model (CAPM) help in analyzing the performance of the equity fund whereas Trading Volume and Turnover methods were utilized to measure the fund liquidity. Deduced from the analysis, the equity fund performs differently within the group itself, depending on the time frames stated. This study also found that the liquidity timing affects the expected return where the fund manager can use the beta values from the fund analysis to increase their market exposure, prior to market timing liquidity.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Ming, L.-M., Hwa, L.-S.: Evaluating mutual fund performance in an emerging Asian economy: the Malaysian experience. J. Asian Econ. 21(4), 378–390 (2010)
Abdullah, E.A., Zahari, S.M., Shariff, S.S.R., Rahim, M.A.I.A.: Modelling volatility of Kuala Lumpur composite index (KLCI) using SV and GARCH models. Indones. J. Electr. Eng. Comput. Sci. 13(3), 1087–1094 (2019)
Don, U.A.G., Roshdi, I., Fukuyama, H., Zhu, J.: A new network DEA model for mutual fund performance appraisal: An application to U.S. equity mutual funds. OMEGA Int. J. Manag. Sci. 77, 168–79 (2018)
Rajpurohit, S.: A comparative study of performance of top 5 mutual funds in India. SAMVAD 8 (2015)
Galagedera, D.U., Roshdi, I., Fukuyama, H., Zhu, J.: A new network DEA model for mutual fund performance appraisal: an application to US equity mutual funds. Omega 77, 168–179 (2018)
Jamaludin, N., Smith, M., Gerrans, P.: Mutual fund investment choice criteria: a study in Malaysia. Int. J. Educ. Res. 1(4), 1–10 (2013)
Amihud, Y.: Illiquidity and stock returns: cross-section and time-series effects. J. Financ. Mark. 5(1), 31–56 (2002)
Pástor, Ľ, Stambaugh, R.F.: Liquidity risk and expected stock returns. J. Polit. Econ. 111(3), 642–685 (2003)
Sadka, R.: Momentum and post-earnings-announcement drift anomalies: the role of liquidity risk. J. Financ. Econ. 80(2), 309–349 (2006)
Cao, C., Chen, Y., Liang, B., Lo, A.W.: Can hedge funds time market liquidity. J. Financ. Econ. 109(2), 493–516 (2013)
Jensen, M.C.: The performance of mutual funds in the period 1945–1964. J. Financ. 23(2), 389–416 (1968)
Abdul Rahim, R., Mohd Nor, A.H.S.: A comparison between Fama and French model and liquidity-based three factor models in predicting portfolio returns. Asian Acad. Manag. J. Account. Financ. 2(2), 43–60 (2006)
Abdul Rahim, R., Mohd Nor, A.H.S.: The role of illiquidity risk factor in asset pricing models: Malaysian evidence. J. Pengurusan 26(2007), 67–97 (2007)
Cao, C., Simin, T.T., Wang, Y.: Do mutual fund managers time market liquidity? J. Financ. Mark. 16(2), 279–307 (2013)
Liao, L., Zhang, X., Zhang, Y.: Mutual fund managers’ timing abilities. Pacific-Basin Financ. J. 44, 80–96 (2017)
Qamruzzaman, Md.: Comparative study on performance evaluation of mutual fund schemes in Bangladesh: an analysis of monthly returns. J. Bus. Stud. Q. 5(4), 190 (2014)
Shamsuddin, S., Hanafi, N., Samian, M., Amin, M.: Chaotic stochastic lee-carter model in predicting kijang emas price movements: a machine learning approach. In: Kor, L.-K., Ahmad, A.-R., Idrus, Z., Mansor, K.A. (eds.) Proceedings of the Third International Conference on Computing, Mathematics and Statistics (iCMS2017), pp. 521–528. Springer, Singapore (2019). https://doi.org/10.1007/978-981-13-7279-7_65
Ramli, S.F., Firdaus, M., Uzair, H., Khairi, M., Zharif, A.: Prediction of the unemployment rate in Malaysia. Int. J. Mod. Trends Soc. Sci 1(4), 38–44 (2018)
Johari, S.N.M., Farid, F.H.M., Nasrudin, N.A.E.B., Bistamam, N.S.L., Shuhaili, N.S.S.M.: Predicting stock market index using hybrid intelligence model. Int. J. Eng. Technol. (UAE) 7, 36–39 (2018)
Kamarudin, N., Ismail, W.R., Mohd, M.A.: Network data envelopment analysis as instrument for evaluating water utilities’performance. J. Qual. Meas. Anal. JQMA 14(2), 1–10 (2018)
Premachandra, I.M., Zhu, J., Watson, J., Galagedera, D.U.A.: Mutual fund industry performance: a network data envelopment analysis approach. In: Zhu, J. (ed.) Data Envelopment Analysis. ISORMS, vol. 238, pp. 165–228. Springer, Boston (2016). https://doi.org/10.1007/978-1-4899-7684-0_7
Acknowledgements
The authors gratefully acknowledge financial support from the Faculty of Computer and Mathematical Science, Universiti Teknologi MARA, Shah Alam for this study.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Saad, S.F., Zahari, S.M., Mohd, M.A. (2021). Financial Analytics on Malaysia’s Equity Fund Performance and Its Timing Liquidity. In: Mohamed, A., Yap, B.W., Zain, J.M., Berry, M.W. (eds) Soft Computing in Data Science. SCDS 2021. Communications in Computer and Information Science, vol 1489. Springer, Singapore. https://doi.org/10.1007/978-981-16-7334-4_15
Download citation
DOI: https://doi.org/10.1007/978-981-16-7334-4_15
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-16-7333-7
Online ISBN: 978-981-16-7334-4
eBook Packages: Computer ScienceComputer Science (R0)