Improved Back Test of Magic Formula in Malaysian Stock Market Using Applied Programming and Online Quantitative Platform
Principal Investigator(s): View help for Principal Investigator(s) L.Q Li, Multimedia University
Version: View help for Version V1
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Project Citation:
Li, L.Q. Improved Back Test of Magic Formula in Malaysian Stock Market Using Applied Programming and Online Quantitative Platform . Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2021-06-28. https://doi.org/10.3886/E143941V1
Project Description
Summary:
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Greenblatt’s
Magic Formula (MF) has proven effective in the different stock market over the
world. However, there is no academic research to investigate its effectiveness
in the Malaysian stock market. To fill in the gap of literature. This study
applied programming and quantitative finance method to back-test Malaysian
stock data from 2004 to 2019. Besides, this research also tests different
financial indicators, market capital and portfolio size for finding the optimal
MF for the Malaysian stock market. The KLSE index was selected as the
benchmark. CAPM model and a variety of financial ratios were applied to
evaluate the performance. Risk-reward of portfolios also considered. The
results showed that 15 of 18 portfolios deliver a higher return than the
benchmark. However, compare the performance of the MF in the United States and
other markets. The Malaysian market has not shown its advantages. For further
tests, compared with Earning before interest and tax(EBIT) which used in the
original MF. Gross profit (GP) is more suitable in the Malaysian stock market.
It is worth mentioning that when GP applied to formulas. The performance of
small market capitalization portfolios is better than that of large market
capitalization portfolios. It exactly contradicts the original MF
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