Correlation Between James Balanced: and Smead Funds
Can any of the company-specific risk be diversified away by investing in both James Balanced: and Smead Funds 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 James Balanced: and Smead Funds into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between James Balanced Golden and Smead Funds Trust, you can compare the effects of market volatilities on James Balanced: and Smead Funds 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 James Balanced: with a short position of Smead Funds. Check out your portfolio center. Please also check ongoing floating volatility patterns of James Balanced: and Smead Funds.
Diversification Opportunities for James Balanced: and Smead Funds
-0.01 | Correlation Coefficient |
Good diversification
The 3 months correlation between James and Smead is -0.01. Overlapping area represents the amount of risk that can be diversified away by holding James Balanced Golden and Smead Funds Trust in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Smead Funds Trust and James Balanced: 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 James Balanced Golden are associated (or correlated) with Smead Funds. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Smead Funds Trust has no effect on the direction of James Balanced: i.e., James Balanced: and Smead Funds go up and down completely randomly.
Pair Corralation between James Balanced: and Smead Funds
Assuming the 90 days horizon James Balanced Golden is expected to under-perform the Smead Funds. But the mutual fund apears to be less risky and, when comparing its historical volatility, James Balanced Golden is 1.97 times less risky than Smead Funds. The mutual fund trades about -0.02 of its potential returns per unit of risk. The Smead Funds Trust is currently generating about 0.15 of returns per unit of risk over similar time horizon. If you would invest 5,360 in Smead Funds Trust on December 28, 2024 and sell it today you would earn a total of 490.00 from holding Smead Funds Trust or generate 9.14% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
James Balanced Golden vs. Smead Funds Trust
Performance |
Timeline |
James Balanced Golden |
Smead Funds Trust |
James Balanced: and Smead Funds Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with James Balanced: and Smead Funds
The main advantage of trading using opposite James Balanced: and Smead Funds positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if James Balanced: position performs unexpectedly, Smead Funds 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 Smead Funds will offset losses from the drop in Smead Funds' long position.James Balanced: vs. Permanent Portfolio Class | James Balanced: vs. Berwyn Income Fund | James Balanced: vs. Large Cap Fund | James Balanced: vs. Westcore Plus Bond |
Smead Funds vs. Columbia Convertible Securities | Smead Funds vs. Advent Claymore Convertible | Smead Funds vs. Calamos Dynamic Convertible | Smead Funds vs. Putnam Convertible Securities |
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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