Correlation Between OpenSys M and Sapura Industrial
Can any of the company-specific risk be diversified away by investing in both OpenSys M and Sapura Industrial 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 OpenSys M and Sapura Industrial into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between OpenSys M Bhd and Sapura Industrial Bhd, you can compare the effects of market volatilities on OpenSys M and Sapura Industrial 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 OpenSys M with a short position of Sapura Industrial. Check out your portfolio center. Please also check ongoing floating volatility patterns of OpenSys M and Sapura Industrial.
Diversification Opportunities for OpenSys M and Sapura Industrial
-0.58 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between OpenSys and Sapura is -0.58. Overlapping area represents the amount of risk that can be diversified away by holding OpenSys M Bhd and Sapura Industrial Bhd in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Sapura Industrial Bhd and OpenSys M 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 OpenSys M Bhd are associated (or correlated) with Sapura Industrial. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Sapura Industrial Bhd has no effect on the direction of OpenSys M i.e., OpenSys M and Sapura Industrial go up and down completely randomly.
Pair Corralation between OpenSys M and Sapura Industrial
Assuming the 90 days trading horizon OpenSys M Bhd is expected to generate 0.57 times more return on investment than Sapura Industrial. However, OpenSys M Bhd is 1.76 times less risky than Sapura Industrial. It trades about 0.02 of its potential returns per unit of risk. Sapura Industrial Bhd is currently generating about 0.01 per unit of risk. If you would invest 34.00 in OpenSys M Bhd on August 26, 2024 and sell it today you would earn a total of 2.00 from holding OpenSys M Bhd or generate 5.88% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Very Weak |
| Accuracy | 99.59% |
| Values | Daily Returns |
OpenSys M Bhd vs. Sapura Industrial Bhd
Performance |
| Timeline |
| OpenSys M Bhd |
| Sapura Industrial Bhd |
OpenSys M and Sapura Industrial Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with OpenSys M and Sapura Industrial
The main advantage of trading using opposite OpenSys M and Sapura Industrial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if OpenSys M position performs unexpectedly, Sapura Industrial 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 Sapura Industrial will offset losses from the drop in Sapura Industrial's long position.| OpenSys M vs. Malayan Banking Bhd | OpenSys M vs. Public Bank Bhd | OpenSys M vs. Petronas Chemicals Group | OpenSys M vs. Tenaga Nasional Bhd |
| Sapura Industrial vs. Eversafe Rubber Bhd | Sapura Industrial vs. Digistar Bhd | Sapura Industrial vs. Minetech Resources Bhd | Sapura Industrial vs. OpenSys M 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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