Correlation Between GM and Mfs North
Can any of the company-specific risk be diversified away by investing in both GM and Mfs North 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 North 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 North Carolina, you can compare the effects of market volatilities on GM and Mfs North 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 North. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and Mfs North.
Diversification Opportunities for GM and Mfs North
Very good diversification
The 3 months correlation between GM and Mfs is -0.35. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and Mfs North Carolina in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Mfs North Carolina 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 North. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Mfs North Carolina has no effect on the direction of GM i.e., GM and Mfs North go up and down completely randomly.
Pair Corralation between GM and Mfs North
Allowing for the 90-day total investment horizon General Motors is expected to under-perform the Mfs North. In addition to that, GM is 9.13 times more volatile than Mfs North Carolina. It trades about -0.09 of its total potential returns per unit of risk. Mfs North Carolina is currently generating about -0.3 per unit of volatility. If you would invest 1,092 in Mfs North Carolina on September 21, 2024 and sell it today you would lose (20.00) from holding Mfs North Carolina or give up 1.83% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 95.45% |
Values | Daily Returns |
General Motors vs. Mfs North Carolina
Performance |
Timeline |
General Motors |
Mfs North Carolina |
GM and Mfs North Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GM and Mfs North
The main advantage of trading using opposite GM and Mfs North positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, Mfs North 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 North will offset losses from the drop in Mfs North's long position.The idea behind General Motors and Mfs North Carolina 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 North vs. Mfs Prudent Investor | Mfs North vs. Mfs Prudent Investor | Mfs North vs. Mfs Prudent Investor | Mfs North vs. Mfs Prudent Investor |
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 Stocks Directory module to find actively traded stocks across global markets.
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