Correlation Between Ford and Mfs Series
Can any of the company-specific risk be diversified away by investing in both Ford and Mfs Series 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 Series 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 Series Trust, you can compare the effects of market volatilities on Ford and Mfs Series 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 Series. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ford and Mfs Series.
Diversification Opportunities for Ford and Mfs Series
0.48 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Ford and Mfs is 0.48. Overlapping area represents the amount of risk that can be diversified away by holding Ford Motor and Mfs Series Trust in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Mfs Series Trust 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 Series. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Mfs Series Trust has no effect on the direction of Ford i.e., Ford and Mfs Series go up and down completely randomly.
Pair Corralation between Ford and Mfs Series
Taking into account the 90-day investment horizon Ford Motor is expected to under-perform the Mfs Series. In addition to that, Ford is 3.24 times more volatile than Mfs Series Trust. It trades about 0.0 of its total potential returns per unit of risk. Mfs Series Trust is currently generating about 0.12 per unit of volatility. If you would invest 951.00 in Mfs Series Trust on September 13, 2024 and sell it today you would earn a total of 224.00 from holding Mfs Series Trust or generate 23.55% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Ford Motor vs. Mfs Series Trust
Performance |
Timeline |
Ford Motor |
Mfs Series Trust |
Ford and Mfs Series Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Ford and Mfs Series
The main advantage of trading using opposite Ford and Mfs Series positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ford position performs unexpectedly, Mfs Series 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 Series will offset losses from the drop in Mfs Series' long position.The idea behind Ford Motor and Mfs Series Trust 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 Series vs. Neuberger Berman Income | Mfs Series vs. Alpine High Yield | Mfs Series vs. Prudential High Yield | Mfs Series vs. Strategic Advisers Income |
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 Price Ceiling Movement module to calculate and plot Price Ceiling Movement for different equity instruments.
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