Correlation Between Smead Value and Mairs Power
Can any of the company-specific risk be diversified away by investing in both Smead Value and Mairs Power 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 Smead Value and Mairs Power into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Smead Value Fund and Mairs Power Balanced, you can compare the effects of market volatilities on Smead Value and Mairs Power 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 Smead Value with a short position of Mairs Power. Check out your portfolio center. Please also check ongoing floating volatility patterns of Smead Value and Mairs Power.
Diversification Opportunities for Smead Value and Mairs Power
0.46 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Smead and Mairs is 0.46. Overlapping area represents the amount of risk that can be diversified away by holding Smead Value Fund and Mairs Power Balanced in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Mairs Power Balanced and Smead Value 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 Smead Value Fund are associated (or correlated) with Mairs Power. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Mairs Power Balanced has no effect on the direction of Smead Value i.e., Smead Value and Mairs Power go up and down completely randomly.
Pair Corralation between Smead Value and Mairs Power
Assuming the 90 days horizon Smead Value Fund is expected to generate 1.82 times more return on investment than Mairs Power. However, Smead Value is 1.82 times more volatile than Mairs Power Balanced. It trades about 0.06 of its potential returns per unit of risk. Mairs Power Balanced is currently generating about 0.09 per unit of risk. If you would invest 6,628 in Smead Value Fund on August 30, 2024 and sell it today you would earn a total of 1,936 from holding Smead Value Fund or generate 29.21% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Smead Value Fund vs. Mairs Power Balanced
Performance |
| Timeline |
| Smead Value Fund |
| Mairs Power Balanced |
Smead Value and Mairs Power Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Smead Value and Mairs Power
The main advantage of trading using opposite Smead Value and Mairs Power positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Smead Value position performs unexpectedly, Mairs Power 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 Mairs Power will offset losses from the drop in Mairs Power's long position.| Smead Value vs. Value Fund Investor | Smead Value vs. HUMANA INC | Smead Value vs. Aquagold International | Smead Value vs. Barloworld Ltd ADR |
| Mairs Power vs. American Balanced Fund | Mairs Power vs. American Balanced Fund | Mairs Power vs. HUMANA INC | Mairs Power vs. Aquagold International |
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 Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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