Correlation Between Malayan Banking and Petronas Chemicals
Can any of the company-specific risk be diversified away by investing in both Malayan Banking and Petronas Chemicals 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 Malayan Banking and Petronas Chemicals into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Malayan Banking Bhd and Petronas Chemicals Group, you can compare the effects of market volatilities on Malayan Banking and Petronas Chemicals 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 Malayan Banking with a short position of Petronas Chemicals. Check out your portfolio center. Please also check ongoing floating volatility patterns of Malayan Banking and Petronas Chemicals.
Diversification Opportunities for Malayan Banking and Petronas Chemicals
0.64 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Malayan and Petronas is 0.64. Overlapping area represents the amount of risk that can be diversified away by holding Malayan Banking Bhd and Petronas Chemicals Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Petronas Chemicals and Malayan Banking 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 Malayan Banking Bhd are associated (or correlated) with Petronas Chemicals. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Petronas Chemicals has no effect on the direction of Malayan Banking i.e., Malayan Banking and Petronas Chemicals go up and down completely randomly.
Pair Corralation between Malayan Banking and Petronas Chemicals
Assuming the 90 days trading horizon Malayan Banking Bhd is expected to generate 0.33 times more return on investment than Petronas Chemicals. However, Malayan Banking Bhd is 3.03 times less risky than Petronas Chemicals. It trades about -0.06 of its potential returns per unit of risk. Petronas Chemicals Group is currently generating about -0.15 per unit of risk. If you would invest 1,047 in Malayan Banking Bhd on August 31, 2024 and sell it today you would lose (27.00) from holding Malayan Banking Bhd or give up 2.58% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 98.41% |
Values | Daily Returns |
Malayan Banking Bhd vs. Petronas Chemicals Group
Performance |
Timeline |
Malayan Banking Bhd |
Petronas Chemicals |
Malayan Banking and Petronas Chemicals Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Malayan Banking and Petronas Chemicals
The main advantage of trading using opposite Malayan Banking and Petronas Chemicals positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Malayan Banking position performs unexpectedly, Petronas Chemicals 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 Petronas Chemicals will offset losses from the drop in Petronas Chemicals' long position.Malayan Banking vs. Apollo Food Holdings | Malayan Banking vs. ONETECH SOLUTIONS HOLDINGS | Malayan Banking vs. Al Aqar Healthcare | Malayan Banking vs. Dnonce Tech Bhd |
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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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