Correlation Between Eonmetall Group and Genting Malaysia
Can any of the company-specific risk be diversified away by investing in both Eonmetall Group and Genting Malaysia 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 Eonmetall Group and Genting Malaysia into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Eonmetall Group Bhd and Genting Malaysia Bhd, you can compare the effects of market volatilities on Eonmetall Group and Genting Malaysia 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 Eonmetall Group with a short position of Genting Malaysia. Check out your portfolio center. Please also check ongoing floating volatility patterns of Eonmetall Group and Genting Malaysia.
Diversification Opportunities for Eonmetall Group and Genting Malaysia
0.52 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Eonmetall and Genting is 0.52. Overlapping area represents the amount of risk that can be diversified away by holding Eonmetall Group Bhd and Genting Malaysia Bhd in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Genting Malaysia Bhd and Eonmetall Group 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 Eonmetall Group Bhd are associated (or correlated) with Genting Malaysia. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Genting Malaysia Bhd has no effect on the direction of Eonmetall Group i.e., Eonmetall Group and Genting Malaysia go up and down completely randomly.
Pair Corralation between Eonmetall Group and Genting Malaysia
Assuming the 90 days trading horizon Eonmetall Group Bhd is expected to under-perform the Genting Malaysia. In addition to that, Eonmetall Group is 2.52 times more volatile than Genting Malaysia Bhd. It trades about -0.04 of its total potential returns per unit of risk. Genting Malaysia Bhd is currently generating about 0.16 per unit of volatility. If you would invest 216.00 in Genting Malaysia Bhd on September 28, 2024 and sell it today you would earn a total of 8.00 from holding Genting Malaysia Bhd or generate 3.7% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 95.45% |
Values | Daily Returns |
Eonmetall Group Bhd vs. Genting Malaysia Bhd
Performance |
Timeline |
Eonmetall Group Bhd |
Genting Malaysia Bhd |
Eonmetall Group and Genting Malaysia Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Eonmetall Group and Genting Malaysia
The main advantage of trading using opposite Eonmetall Group and Genting Malaysia positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Eonmetall Group position performs unexpectedly, Genting Malaysia 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 Genting Malaysia will offset losses from the drop in Genting Malaysia's long position.Eonmetall Group vs. Press Metal Bhd | Eonmetall Group vs. PMB Technology Bhd | Eonmetall Group vs. Pantech Group Holdings | Eonmetall Group vs. CSC Steel Holdings |
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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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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