Correlation Between Hong Leong and Bank Islam
Can any of the company-specific risk be diversified away by investing in both Hong Leong and Bank Islam at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining Hong Leong and Bank Islam into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Hong Leong Bank and Bank Islam Malaysia, you can compare the effects of market volatilities on Hong Leong and Bank Islam and check how they will diversify away market risk if combined in the same portfolio for a given time horizon. You can also utilize pair trading strategies of matching a long position in Hong Leong with a short position of Bank Islam. Check out your portfolio center. Please also check ongoing floating volatility patterns of Hong Leong and Bank Islam.
Diversification Opportunities for Hong Leong and Bank Islam
0.43 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Hong and Bank is 0.43. Overlapping area represents the amount of risk that can be diversified away by holding Hong Leong Bank and Bank Islam Malaysia in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bank Islam Malaysia and Hong Leong is a relative statistical measure of the degree to which these equity instruments tend to move together. The correlation coefficient measures the extent to which returns on Hong Leong Bank are associated (or correlated) with Bank Islam. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bank Islam Malaysia has no effect on the direction of Hong Leong i.e., Hong Leong and Bank Islam go up and down completely randomly.
Pair Corralation between Hong Leong and Bank Islam
Assuming the 90 days trading horizon Hong Leong is expected to generate 2.85 times less return on investment than Bank Islam. But when comparing it to its historical volatility, Hong Leong Bank is 1.79 times less risky than Bank Islam. It trades about 0.02 of its potential returns per unit of risk. Bank Islam Malaysia is currently generating about 0.03 of returns per unit of risk over similar time horizon. If you would invest 218.00 in Bank Islam Malaysia on October 11, 2024 and sell it today you would earn a total of 27.00 from holding Bank Islam Malaysia or generate 12.39% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Hong Leong Bank vs. Bank Islam Malaysia
Performance |
Timeline |
Hong Leong Bank |
Bank Islam Malaysia |
Hong Leong and Bank Islam Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Hong Leong and Bank Islam
The main advantage of trading using opposite Hong Leong and Bank Islam positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Hong Leong position performs unexpectedly, Bank Islam can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Bank Islam will offset losses from the drop in Bank Islam's long position.Hong Leong vs. Apollo Food Holdings | Hong Leong vs. Silver Ridge Holdings | Hong Leong vs. Binasat Communications Bhd | Hong Leong vs. Sports Toto Berhad |
Bank Islam vs. Uchi Technologies Bhd | Bank Islam vs. Hong Leong Bank | Bank Islam vs. Senheng New Retail | Bank Islam vs. CPE Technology Berhad |
Check out your portfolio center.Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Portfolio Analyzer module to portfolio analysis module that provides access to portfolio diagnostics and optimization engine.
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