Correlation Between Siit Ultra and Mfs Technology
Can any of the company-specific risk be diversified away by investing in both Siit Ultra and Mfs Technology 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 Siit Ultra and Mfs Technology into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Siit Ultra Short and Mfs Technology Fund, you can compare the effects of market volatilities on Siit Ultra and Mfs Technology 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 Siit Ultra with a short position of Mfs Technology. Check out your portfolio center. Please also check ongoing floating volatility patterns of Siit Ultra and Mfs Technology.
Diversification Opportunities for Siit Ultra and Mfs Technology
0.71 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Siit and Mfs is 0.71. Overlapping area represents the amount of risk that can be diversified away by holding Siit Ultra Short and Mfs Technology Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Mfs Technology and Siit Ultra 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 Siit Ultra Short are associated (or correlated) with Mfs Technology. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Mfs Technology has no effect on the direction of Siit Ultra i.e., Siit Ultra and Mfs Technology go up and down completely randomly.
Pair Corralation between Siit Ultra and Mfs Technology
Assuming the 90 days horizon Siit Ultra is expected to generate 9.65 times less return on investment than Mfs Technology. But when comparing it to its historical volatility, Siit Ultra Short is 11.99 times less risky than Mfs Technology. It trades about 0.13 of its potential returns per unit of risk. Mfs Technology Fund is currently generating about 0.11 of returns per unit of risk over similar time horizon. If you would invest 5,016 in Mfs Technology Fund on August 27, 2024 and sell it today you would earn a total of 140.00 from holding Mfs Technology Fund or generate 2.79% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Siit Ultra Short vs. Mfs Technology Fund
Performance |
| Timeline |
| Siit Ultra Short |
| Mfs Technology |
Siit Ultra and Mfs Technology Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Siit Ultra and Mfs Technology
The main advantage of trading using opposite Siit Ultra and Mfs Technology positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Siit Ultra position performs unexpectedly, Mfs Technology 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 Technology will offset losses from the drop in Mfs Technology's long position.| Siit Ultra vs. Ultra Short Fixed Income | Siit Ultra vs. Short Intermediate Bond Fund | Siit Ultra vs. Nuveen Short Term | Siit Ultra vs. Guggenheim Long Short |
| Mfs Technology vs. Versatile Bond Portfolio | Mfs Technology vs. Transamerica Intermediate Muni | Mfs Technology vs. T Rowe Price | Mfs Technology vs. Multisector Bond Sma |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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