Volume 1, Number 1 (2016)
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Home > Journals > SCIREA Journal of Management > Archive > Paper Information

Stock Selection With Regression Model In Tracking Malaysia Stock Market Index

Volume 1, Issue 1, October 2016    |    PP. 22-30    |PDF (100 K)|    Pub. Date: November 17, 2016
217 Downloads     1298 Views  

Author(s)
Lam Weng Siew, Department of Physical and Mathematical Science, Faculty of Science, Universiti Tunku Abdul Rahman, Kampar, Perak, Malaysia; Centre for Mathematical Sciences, Centre for Business and Management, Universiti Tunku Abdul Rahman, Kampar, Perak, Malaysia.
Lam Weng Hoe, Department of Physical and Mathematical Science, Faculty of Science, Universiti Tunku Abdul Rahman, Kampar, Perak, Malaysia; Centre for Mathematical Sciences, Centre for Business and Management, Universiti Tunku Abdul Rahman, Kampar, Perak, Malaysia.

Abstract
Stock market index measures the general behavior and performance of stock market overtime. Index tracking is a popular investment strategy in the components of stock market index. Index tracking aims to construct a tracking portfolio to achieve similar mean return with the benchmark stock market index mean return without investing in all stocks that make up the index. The objective of this paper is to determine the stock selection in constructing the portfolio for tracking Malaysia stock market index by using regression model. In this study, the data consists of weekly stock prices from Malaysia stock market index which is FTSE Bursa Malaysia Kuala Lumpur Composite Index (FBMKLCI). The results of this study indicate that the portfolio consists of 12 stocks with different weights to track FBMKLCI Index which comprises 30 stocks. The portfolio of the regression model is able to track FBMKLCI Index effectively at minimum tracking error 0.4531% which approaches zero tracking error. Therefore, the regression model is appropriate for the investors to track the stock market index in Malaysia. The significance of this study is to determine the portfolio composition in tracking Malaysia stock market index which generates weekly excess return 0.0019% at minimum tracking error 0.4531% without purchasing all the index components.

Keywords
Index Tracking, Regression Model, Mean Return, Tracking Error, Portfolio Composition

Cite this paper
Lam Weng Siew, Lam Weng Hoe, Stock Selection With Regression Model In Tracking Malaysia Stock Market Index, SCIREA Journal of Management. Vol. 1 , No. 1 , 2016 , pp. 22 - 30 .

References

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