Correlation Between Rubberex M and Computer Forms
Can any of the company-specific risk be diversified away by investing in both Rubberex M and Computer Forms 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 Rubberex M and Computer Forms into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Rubberex M and Computer Forms Bhd, you can compare the effects of market volatilities on Rubberex M and Computer Forms 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 Rubberex M with a short position of Computer Forms. Check out your portfolio center. Please also check ongoing floating volatility patterns of Rubberex M and Computer Forms.
Diversification Opportunities for Rubberex M and Computer Forms
0.61 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Rubberex and Computer is 0.61. Overlapping area represents the amount of risk that can be diversified away by holding Rubberex M and Computer Forms Bhd in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Computer Forms Bhd and Rubberex 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 Rubberex M are associated (or correlated) with Computer Forms. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Computer Forms Bhd has no effect on the direction of Rubberex M i.e., Rubberex M and Computer Forms go up and down completely randomly.
Pair Corralation between Rubberex M and Computer Forms
Assuming the 90 days trading horizon Rubberex M is expected to under-perform the Computer Forms. But the stock apears to be less risky and, when comparing its historical volatility, Rubberex M is 1.8 times less risky than Computer Forms. The stock trades about -0.07 of its potential returns per unit of risk. The Computer Forms Bhd is currently generating about 0.01 of returns per unit of risk over similar time horizon. If you would invest 11.00 in Computer Forms Bhd on December 2, 2024 and sell it today you would lose (1.00) from holding Computer Forms Bhd or give up 9.09% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Rubberex M vs. Computer Forms Bhd
Performance |
Timeline |
Rubberex M |
Computer Forms Bhd |
Rubberex M and Computer Forms Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Rubberex M and Computer Forms
The main advantage of trading using opposite Rubberex M and Computer Forms positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Rubberex M position performs unexpectedly, Computer Forms 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 Computer Forms will offset losses from the drop in Computer Forms' long position.Rubberex M vs. Privasia Technology Bhd | Rubberex M vs. Media Prima Bhd | Rubberex M vs. Lyc Healthcare Bhd | Rubberex M vs. Berjaya Food Bhd |
Computer Forms vs. Choo Bee Metal | Computer Forms vs. Apollo Food Holdings | Computer Forms vs. Awanbiru Technology Bhd | Computer Forms vs. Eonmetall Group 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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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