Correlation Between Ford and Mfs Union
Can any of the company-specific risk be diversified away by investing in both Ford and Mfs Union 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 Ford and Mfs Union into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ford Motor and Mfs Union Standard, you can compare the effects of market volatilities on Ford and Mfs Union 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 Ford with a short position of Mfs Union. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ford and Mfs Union.
Diversification Opportunities for Ford and Mfs Union
Poor diversification
The 3 months correlation between Ford and Mfs is 0.7. Overlapping area represents the amount of risk that can be diversified away by holding Ford Motor and Mfs Union Standard in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Mfs Union Standard and Ford 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 Ford Motor are associated (or correlated) with Mfs Union. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Mfs Union Standard has no effect on the direction of Ford i.e., Ford and Mfs Union go up and down completely randomly.
Pair Corralation between Ford and Mfs Union
Taking into account the 90-day investment horizon Ford is expected to generate 3.2 times less return on investment than Mfs Union. In addition to that, Ford is 2.41 times more volatile than Mfs Union Standard. It trades about 0.01 of its total potential returns per unit of risk. Mfs Union Standard is currently generating about 0.09 per unit of volatility. If you would invest 2,467 in Mfs Union Standard on September 24, 2024 and sell it today you would earn a total of 1,181 from holding Mfs Union Standard or generate 47.87% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Ford Motor vs. Mfs Union Standard
Performance |
Timeline |
Ford Motor |
Mfs Union Standard |
Ford and Mfs Union Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Ford and Mfs Union
The main advantage of trading using opposite Ford and Mfs Union positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ford position performs unexpectedly, Mfs Union 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 Union will offset losses from the drop in Mfs Union's long position.The idea behind Ford Motor and Mfs Union Standard 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 Union vs. Mfs Prudent Investor | Mfs Union vs. Mfs Prudent Investor | Mfs Union vs. Mfs Prudent Investor | Mfs Union 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 Portfolio Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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