Correlation Between Mainstay High and Mfs Emerging
Can any of the company-specific risk be diversified away by investing in both Mainstay High and Mfs Emerging 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 Mainstay High and Mfs Emerging into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Mainstay High Yield and Mfs Emerging Markets, you can compare the effects of market volatilities on Mainstay High and Mfs Emerging 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 Mainstay High with a short position of Mfs Emerging. Check out your portfolio center. Please also check ongoing floating volatility patterns of Mainstay High and Mfs Emerging.
Diversification Opportunities for Mainstay High and Mfs Emerging
0.2 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Mainstay and Mfs is 0.2. Overlapping area represents the amount of risk that can be diversified away by holding Mainstay High Yield and Mfs Emerging Markets in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Mfs Emerging Markets and Mainstay High 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 Mainstay High Yield are associated (or correlated) with Mfs Emerging. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Mfs Emerging Markets has no effect on the direction of Mainstay High i.e., Mainstay High and Mfs Emerging go up and down completely randomly.
Pair Corralation between Mainstay High and Mfs Emerging
Assuming the 90 days horizon Mainstay High Yield is expected to generate 0.65 times more return on investment than Mfs Emerging. However, Mainstay High Yield is 1.53 times less risky than Mfs Emerging. It trades about 0.15 of its potential returns per unit of risk. Mfs Emerging Markets is currently generating about 0.04 per unit of risk. If you would invest 522.00 in Mainstay High Yield on September 1, 2024 and sell it today you would earn a total of 3.00 from holding Mainstay High Yield or generate 0.57% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Weak |
| Accuracy | 95.45% |
| Values | Daily Returns |
Mainstay High Yield vs. Mfs Emerging Markets
Performance |
| Timeline |
| Mainstay High Yield |
| Mfs Emerging Markets |
Mainstay High and Mfs Emerging Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Mainstay High and Mfs Emerging
The main advantage of trading using opposite Mainstay High and Mfs Emerging positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Mainstay High position performs unexpectedly, Mfs Emerging 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 Emerging will offset losses from the drop in Mfs Emerging's long position.| Mainstay High vs. Mainstay High Yield | Mainstay High vs. Mainstay Tax Free | Mainstay High vs. Mainstay Income Builder | Mainstay High vs. Mainstay Large Cap |
| Mfs Emerging vs. Dreyfus Government Cash | Mfs Emerging vs. Ab Government Exchange | Mfs Emerging vs. Dws Government Money | Mfs Emerging vs. Virtus Seix Government |
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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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