Correlation Between Mfs Intrinsic and Smallcap World
Can any of the company-specific risk be diversified away by investing in both Mfs Intrinsic and Smallcap World 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 Mfs Intrinsic and Smallcap World into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Mfs Intrinsic Value and Smallcap World Fund, you can compare the effects of market volatilities on Mfs Intrinsic and Smallcap World 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 Mfs Intrinsic with a short position of Smallcap World. Check out your portfolio center. Please also check ongoing floating volatility patterns of Mfs Intrinsic and Smallcap World.
Diversification Opportunities for Mfs Intrinsic and Smallcap World
0.98 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Mfs and Smallcap is 0.98. Overlapping area represents the amount of risk that can be diversified away by holding Mfs Intrinsic Value and Smallcap World Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Smallcap World and Mfs Intrinsic 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 Mfs Intrinsic Value are associated (or correlated) with Smallcap World. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Smallcap World has no effect on the direction of Mfs Intrinsic i.e., Mfs Intrinsic and Smallcap World go up and down completely randomly.
Pair Corralation between Mfs Intrinsic and Smallcap World
Assuming the 90 days horizon Mfs Intrinsic is expected to generate 1.23 times less return on investment than Smallcap World. But when comparing it to its historical volatility, Mfs Intrinsic Value is 1.1 times less risky than Smallcap World. It trades about 0.27 of its potential returns per unit of risk. Smallcap World Fund is currently generating about 0.3 of returns per unit of risk over similar time horizon. If you would invest 6,304 in Smallcap World Fund on April 29, 2025 and sell it today you would earn a total of 952.00 from holding Smallcap World Fund or generate 15.1% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Mfs Intrinsic Value vs. Smallcap World Fund
Performance |
Timeline |
Mfs Intrinsic Value |
Smallcap World |
Mfs Intrinsic and Smallcap World Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Mfs Intrinsic and Smallcap World
The main advantage of trading using opposite Mfs Intrinsic and Smallcap World positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Mfs Intrinsic position performs unexpectedly, Smallcap World 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 Smallcap World will offset losses from the drop in Smallcap World's long position.Mfs Intrinsic vs. Vy Blackrock Inflation | Mfs Intrinsic vs. Vy Blackrock Inflation | Mfs Intrinsic vs. Tiaa Cref Inflation Link | Mfs Intrinsic vs. Lord Abbett Inflation |
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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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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