Correlation Between Petronas Chemicals and Eonmetall Group
Can any of the company-specific risk be diversified away by investing in both Petronas Chemicals and Eonmetall Group 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 Petronas Chemicals and Eonmetall Group into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Petronas Chemicals Group and Eonmetall Group Bhd, you can compare the effects of market volatilities on Petronas Chemicals and Eonmetall Group 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 Petronas Chemicals with a short position of Eonmetall Group. Check out your portfolio center. Please also check ongoing floating volatility patterns of Petronas Chemicals and Eonmetall Group.
Diversification Opportunities for Petronas Chemicals and Eonmetall Group
0.53 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Petronas and Eonmetall is 0.53. Overlapping area represents the amount of risk that can be diversified away by holding Petronas Chemicals Group and Eonmetall Group Bhd in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Eonmetall Group Bhd and Petronas Chemicals 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 Petronas Chemicals Group are associated (or correlated) with Eonmetall Group. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Eonmetall Group Bhd has no effect on the direction of Petronas Chemicals i.e., Petronas Chemicals and Eonmetall Group go up and down completely randomly.
Pair Corralation between Petronas Chemicals and Eonmetall Group
Assuming the 90 days trading horizon Petronas Chemicals Group is expected to generate 0.75 times more return on investment than Eonmetall Group. However, Petronas Chemicals Group is 1.34 times less risky than Eonmetall Group. It trades about -0.06 of its potential returns per unit of risk. Eonmetall Group Bhd is currently generating about -0.07 per unit of risk. If you would invest 793.00 in Petronas Chemicals Group on September 26, 2024 and sell it today you would lose (321.00) from holding Petronas Chemicals Group or give up 40.48% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 99.79% |
Values | Daily Returns |
Petronas Chemicals Group vs. Eonmetall Group Bhd
Performance |
Timeline |
Petronas Chemicals |
Eonmetall Group Bhd |
Petronas Chemicals and Eonmetall Group Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Petronas Chemicals and Eonmetall Group
The main advantage of trading using opposite Petronas Chemicals and Eonmetall Group positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Petronas Chemicals position performs unexpectedly, Eonmetall Group 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 Eonmetall Group will offset losses from the drop in Eonmetall Group's long position.Petronas Chemicals vs. Sapura Industrial Bhd | Petronas Chemicals vs. Central Industrial Corp | Petronas Chemicals vs. Kossan Rubber Industries | Petronas Chemicals vs. Eversafe Rubber Bhd |
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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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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