Correlation Between GM and SG Fleet
Can any of the company-specific risk be diversified away by investing in both GM and SG Fleet 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 GM and SG Fleet into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Motors and SG Fleet Group, you can compare the effects of market volatilities on GM and SG Fleet 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 GM with a short position of SG Fleet. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and SG Fleet.
Diversification Opportunities for GM and SG Fleet
Weak diversification
The 3 months correlation between GM and SGF is 0.34. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and SG Fleet Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SG Fleet Group and GM 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 General Motors are associated (or correlated) with SG Fleet. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SG Fleet Group has no effect on the direction of GM i.e., GM and SG Fleet go up and down completely randomly.
Pair Corralation between GM and SG Fleet
Allowing for the 90-day total investment horizon GM is expected to generate 1.61 times less return on investment than SG Fleet. But when comparing it to its historical volatility, General Motors is 1.09 times less risky than SG Fleet. It trades about 0.05 of its potential returns per unit of risk. SG Fleet Group is currently generating about 0.08 of returns per unit of risk over similar time horizon. If you would invest 160.00 in SG Fleet Group on September 29, 2024 and sell it today you would earn a total of 180.00 from holding SG Fleet Group or generate 112.5% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 99.0% |
Values | Daily Returns |
General Motors vs. SG Fleet Group
Performance |
Timeline |
General Motors |
SG Fleet Group |
GM and SG Fleet Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GM and SG Fleet
The main advantage of trading using opposite GM and SG Fleet positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, SG Fleet 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 SG Fleet will offset losses from the drop in SG Fleet's long position.The idea behind General Motors and SG Fleet Group pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.SG Fleet vs. Southern Cross Gold | SG Fleet vs. Minbos Resources | SG Fleet vs. Tlou Energy | SG Fleet vs. Encounter Resources |
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 Money Managers module to screen money managers from public funds and ETFs managed around the world.
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