Correlation Between Inflation-protected and Mfs Technology
Can any of the company-specific risk be diversified away by investing in both Inflation-protected 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 Inflation-protected and Mfs Technology into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Inflation Protected Bond Fund and Mfs Technology Fund, you can compare the effects of market volatilities on Inflation-protected 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 Inflation-protected with a short position of Mfs Technology. Check out your portfolio center. Please also check ongoing floating volatility patterns of Inflation-protected and Mfs Technology.
Diversification Opportunities for Inflation-protected and Mfs Technology
0.74 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Inflation-protected and Mfs is 0.74. Overlapping area represents the amount of risk that can be diversified away by holding Inflation Protected Bond Fund and Mfs Technology Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Mfs Technology and Inflation-protected 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 Inflation Protected Bond Fund 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 Inflation-protected i.e., Inflation-protected and Mfs Technology go up and down completely randomly.
Pair Corralation between Inflation-protected and Mfs Technology
Assuming the 90 days horizon Inflation Protected Bond Fund is expected to generate 0.14 times more return on investment than Mfs Technology. However, Inflation Protected Bond Fund is 6.91 times less risky than Mfs Technology. It trades about -0.24 of its potential returns per unit of risk. Mfs Technology Fund is currently generating about -0.19 per unit of risk. If you would invest 1,057 in Inflation Protected Bond Fund on October 9, 2024 and sell it today you would lose (31.00) from holding Inflation Protected Bond Fund or give up 2.93% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Inflation Protected Bond Fund vs. Mfs Technology Fund
Performance |
Timeline |
Inflation Protected |
Mfs Technology |
Inflation-protected and Mfs Technology Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Inflation-protected and Mfs Technology
The main advantage of trading using opposite Inflation-protected and Mfs Technology positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Inflation-protected 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.Inflation-protected vs. Needham Small Cap | Inflation-protected vs. Rbc Small Cap | Inflation-protected vs. Sp Smallcap 600 | Inflation-protected vs. Smallcap Fund Fka |
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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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