Correlation Between GM and Mfs Value
Can any of the company-specific risk be diversified away by investing in both GM and Mfs Value 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 Mfs Value into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Motors and Mfs Value Fund, you can compare the effects of market volatilities on GM and Mfs Value 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 Mfs Value. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and Mfs Value.
Diversification Opportunities for GM and Mfs Value
Poor diversification
The 3 months correlation between GM and Mfs is 0.68. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and Mfs Value Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Mfs Value Fund 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 Mfs Value. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Mfs Value Fund has no effect on the direction of GM i.e., GM and Mfs Value go up and down completely randomly.
Pair Corralation between GM and Mfs Value
Allowing for the 90-day total investment horizon General Motors is expected to generate 3.41 times more return on investment than Mfs Value. However, GM is 3.41 times more volatile than Mfs Value Fund. It trades about 0.13 of its potential returns per unit of risk. Mfs Value Fund is currently generating about 0.15 per unit of risk. If you would invest 2,879 in General Motors on September 1, 2024 and sell it today you would earn a total of 2,680 from holding General Motors or generate 93.09% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 99.63% |
| Values | Daily Returns |
General Motors vs. Mfs Value Fund
Performance |
| Timeline |
| General Motors |
| Mfs Value Fund |
GM and Mfs Value Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with GM and Mfs Value
The main advantage of trading using opposite GM and Mfs Value positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, Mfs Value 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 Mfs Value will offset losses from the drop in Mfs Value's long position.The idea behind General Motors and Mfs Value Fund 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.| Mfs Value vs. Fidelity Advisor Financial | Mfs Value vs. Goldman Sachs Financial | Mfs Value vs. Davis Financial Fund | Mfs Value vs. Icon Financial Fund |
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 ETF Categories module to list of ETF categories grouped based on various criteria, such as the investment strategy or type of investments.
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