Correlation Between Computer Forms and FARM FRESH
Can any of the company-specific risk be diversified away by investing in both Computer Forms and FARM FRESH 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 FARM FRESH 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 FARM FRESH BERHAD, you can compare the effects of market volatilities on Computer Forms and FARM FRESH 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 FARM FRESH. Check out your portfolio center. Please also check ongoing floating volatility patterns of Computer Forms and FARM FRESH.
Diversification Opportunities for Computer Forms and FARM FRESH
0.59 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Computer and FARM is 0.59. Overlapping area represents the amount of risk that can be diversified away by holding Computer Forms Bhd and FARM FRESH BERHAD in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on FARM FRESH BERHAD 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 FARM FRESH. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of FARM FRESH BERHAD has no effect on the direction of Computer Forms i.e., Computer Forms and FARM FRESH go up and down completely randomly.
Pair Corralation between Computer Forms and FARM FRESH
Assuming the 90 days trading horizon Computer Forms Bhd is expected to under-perform the FARM FRESH. In addition to that, Computer Forms is 4.46 times more volatile than FARM FRESH BERHAD. It trades about -0.02 of its total potential returns per unit of risk. FARM FRESH BERHAD is currently generating about 0.0 per unit of volatility. If you would invest 180.00 in FARM FRESH BERHAD on December 24, 2024 and sell it today you would lose (2.00) from holding FARM FRESH BERHAD or give up 1.11% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Computer Forms Bhd vs. FARM FRESH BERHAD
Performance |
Timeline |
Computer Forms Bhd |
FARM FRESH BERHAD |
Computer Forms and FARM FRESH Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Computer Forms and FARM FRESH
The main advantage of trading using opposite Computer Forms and FARM FRESH positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Computer Forms position performs unexpectedly, FARM FRESH 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 FARM FRESH will offset losses from the drop in FARM FRESH's long position.Computer Forms vs. Leader Steel Holdings | Computer Forms vs. Lyc Healthcare Bhd | Computer Forms vs. Impiana Hotels Bhd | Computer Forms vs. SSF Home Group |
FARM FRESH vs. Kawan Food Bhd | FARM FRESH vs. Bank Islam Malaysia | FARM FRESH vs. Oriental Food Industries | FARM FRESH vs. Tex Cycle Technology |
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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