Correlation Between SG Fleet and Mach7 Technologies
Can any of the company-specific risk be diversified away by investing in both SG Fleet and Mach7 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 SG Fleet and Mach7 Technologies into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between SG Fleet Group and Mach7 Technologies, you can compare the effects of market volatilities on SG Fleet and Mach7 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 SG Fleet with a short position of Mach7 Technologies. Check out your portfolio center. Please also check ongoing floating volatility patterns of SG Fleet and Mach7 Technologies.
Diversification Opportunities for SG Fleet and Mach7 Technologies
-0.72 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between SGF and Mach7 is -0.72. Overlapping area represents the amount of risk that can be diversified away by holding SG Fleet Group and Mach7 Technologies in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Mach7 Technologies and SG Fleet 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 SG Fleet Group are associated (or correlated) with Mach7 Technologies. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Mach7 Technologies has no effect on the direction of SG Fleet i.e., SG Fleet and Mach7 Technologies go up and down completely randomly.
Pair Corralation between SG Fleet and Mach7 Technologies
Assuming the 90 days trading horizon SG Fleet is expected to generate 4.99 times less return on investment than Mach7 Technologies. But when comparing it to its historical volatility, SG Fleet Group is 4.89 times less risky than Mach7 Technologies. It trades about 0.18 of its potential returns per unit of risk. Mach7 Technologies is currently generating about 0.18 of returns per unit of risk over similar time horizon. If you would invest 36.00 in Mach7 Technologies on October 4, 2024 and sell it today you would earn a total of 4.00 from holding Mach7 Technologies or generate 11.11% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 95.24% |
Values | Daily Returns |
SG Fleet Group vs. Mach7 Technologies
Performance |
Timeline |
SG Fleet Group |
Mach7 Technologies |
SG Fleet and Mach7 Technologies Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with SG Fleet and Mach7 Technologies
The main advantage of trading using opposite SG Fleet and Mach7 Technologies positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SG Fleet position performs unexpectedly, Mach7 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 Mach7 Technologies will offset losses from the drop in Mach7 Technologies' long position.SG Fleet vs. Argo Investments | SG Fleet vs. Premier Investments | SG Fleet vs. Healthco Healthcare and | SG Fleet vs. Oceania Healthcare |
Mach7 Technologies vs. Falcon Metals | Mach7 Technologies vs. Insignia Financial | Mach7 Technologies vs. Sky Metals | Mach7 Technologies vs. National Australia Bank |
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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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