Correlation Between SFP Tech and Supercomnet Technologies
Can any of the company-specific risk be diversified away by investing in both SFP Tech and Supercomnet Technologies 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 SFP Tech and Supercomnet Technologies into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between SFP Tech Holdings and Supercomnet Technologies Bhd, you can compare the effects of market volatilities on SFP Tech and Supercomnet Technologies 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 SFP Tech with a short position of Supercomnet Technologies. Check out your portfolio center. Please also check ongoing floating volatility patterns of SFP Tech and Supercomnet Technologies.
Diversification Opportunities for SFP Tech and Supercomnet Technologies
0.25 | Correlation Coefficient |
Modest diversification
The 3 months correlation between SFP and Supercomnet is 0.25. Overlapping area represents the amount of risk that can be diversified away by holding SFP Tech Holdings and Supercomnet Technologies Bhd in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Supercomnet Technologies and SFP Tech 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 SFP Tech Holdings are associated (or correlated) with Supercomnet Technologies. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Supercomnet Technologies has no effect on the direction of SFP Tech i.e., SFP Tech and Supercomnet Technologies go up and down completely randomly.
Pair Corralation between SFP Tech and Supercomnet Technologies
Assuming the 90 days trading horizon SFP Tech Holdings is expected to under-perform the Supercomnet Technologies. In addition to that, SFP Tech is 1.2 times more volatile than Supercomnet Technologies Bhd. It trades about -0.02 of its total potential returns per unit of risk. Supercomnet Technologies Bhd is currently generating about -0.02 per unit of volatility. If you would invest 147.00 in Supercomnet Technologies Bhd on September 26, 2024 and sell it today you would lose (11.00) from holding Supercomnet Technologies Bhd or give up 7.48% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
SFP Tech Holdings vs. Supercomnet Technologies Bhd
Performance |
Timeline |
SFP Tech Holdings |
Supercomnet Technologies |
SFP Tech and Supercomnet Technologies Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with SFP Tech and Supercomnet Technologies
The main advantage of trading using opposite SFP Tech and Supercomnet Technologies positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SFP Tech position performs unexpectedly, Supercomnet Technologies 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 Supercomnet Technologies will offset losses from the drop in Supercomnet Technologies' long position.SFP Tech vs. Malayan Banking Bhd | SFP Tech vs. Public Bank Bhd | SFP Tech vs. Petronas Chemicals Group | SFP Tech vs. Tenaga Nasional Bhd |
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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 Risk-Return Analysis module to view associations between returns expected from investment and the risk you assume.
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