Correlation Between Computer Forms and SSF Home
Can any of the company-specific risk be diversified away by investing in both Computer Forms and SSF Home 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 Computer Forms and SSF Home into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Computer Forms Bhd and SSF Home Group, you can compare the effects of market volatilities on Computer Forms and SSF Home 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 Computer Forms with a short position of SSF Home. Check out your portfolio center. Please also check ongoing floating volatility patterns of Computer Forms and SSF Home.
Diversification Opportunities for Computer Forms and SSF Home
-0.55 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Computer and SSF is -0.55. Overlapping area represents the amount of risk that can be diversified away by holding Computer Forms Bhd and SSF Home Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SSF Home Group and Computer Forms 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 Computer Forms Bhd are associated (or correlated) with SSF Home. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SSF Home Group has no effect on the direction of Computer Forms i.e., Computer Forms and SSF Home go up and down completely randomly.
Pair Corralation between Computer Forms and SSF Home
Assuming the 90 days trading horizon Computer Forms Bhd is expected to under-perform the SSF Home. In addition to that, Computer Forms is 2.48 times more volatile than SSF Home Group. It trades about -0.13 of its total potential returns per unit of risk. SSF Home Group is currently generating about 0.13 per unit of volatility. If you would invest 35.00 in SSF Home Group on November 3, 2024 and sell it today you would earn a total of 2.00 from holding SSF Home Group or generate 5.71% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Computer Forms Bhd vs. SSF Home Group
Performance |
| Timeline |
| Computer Forms Bhd |
| SSF Home Group |
Computer Forms and SSF Home Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Computer Forms and SSF Home
The main advantage of trading using opposite Computer Forms and SSF Home positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Computer Forms position performs unexpectedly, SSF Home 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 SSF Home will offset losses from the drop in SSF Home's long position.| Computer Forms vs. Lotte Chemical Titan | Computer Forms vs. Nova Wellness Group | Computer Forms vs. Oriental Food Industries | Computer Forms vs. Kawan Food Bhd |
| SSF Home vs. Eonmetall Group Bhd | SSF Home vs. Sports Toto Berhad | SSF Home vs. Malaysia Steel Works | SSF Home vs. Apex Healthcare 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 Global Markets Map module to get a quick overview of global market snapshot using zoomable world map. Drill down to check world indexes.
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