Correlation Between GM and Old Mutual
Can any of the company-specific risk be diversified away by investing in both GM and Old Mutual 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 Old Mutual into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Motors and Old Mutual, you can compare the effects of market volatilities on GM and Old Mutual 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 Old Mutual. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and Old Mutual.
Diversification Opportunities for GM and Old Mutual
0.15 | Correlation Coefficient |
Average diversification
The 3 months correlation between GM and Old is 0.15. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and Old Mutual in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Old Mutual 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 Old Mutual. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Old Mutual has no effect on the direction of GM i.e., GM and Old Mutual go up and down completely randomly.
Pair Corralation between GM and Old Mutual
Allowing for the 90-day total investment horizon General Motors is expected to generate 1.24 times more return on investment than Old Mutual. However, GM is 1.24 times more volatile than Old Mutual. It trades about 0.11 of its potential returns per unit of risk. Old Mutual is currently generating about 0.04 per unit of risk. If you would invest 3,324 in General Motors on September 2, 2024 and sell it today you would earn a total of 2,235 from holding General Motors or generate 67.24% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Insignificant |
| Accuracy | 99.19% |
| Values | Daily Returns |
General Motors vs. Old Mutual
Performance |
| Timeline |
| General Motors |
| Old Mutual |
GM and Old Mutual Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with GM and Old Mutual
The main advantage of trading using opposite GM and Old Mutual positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, Old Mutual 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 Old Mutual will offset losses from the drop in Old Mutual's long position.The idea behind General Motors and Old Mutual 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.| Old Mutual vs. Sanlam | Old Mutual vs. Sasol Ltd Bee | Old Mutual vs. Centaur Bci Balanced | Old Mutual vs. Sabvest Capital |
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 Efficient Frontier module to plot and analyze your portfolio and positions against risk-return landscape of the market..
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