Correlation Between James Balanced and Precious Metals
Can any of the company-specific risk be diversified away by investing in both James Balanced and Precious Metals 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 Precious Metals 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 Precious Metals Fund, you can compare the effects of market volatilities on James Balanced and Precious Metals 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 Precious Metals. Check out your portfolio center. Please also check ongoing floating volatility patterns of James Balanced and Precious Metals.
Diversification Opportunities for James Balanced and Precious Metals
-0.02 | Correlation Coefficient |
Good diversification
The 3 months correlation between James and Precious is -0.02. Overlapping area represents the amount of risk that can be diversified away by holding James Balanced Golden and Precious Metals Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Precious Metals 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 Precious Metals. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Precious Metals has no effect on the direction of James Balanced i.e., James Balanced and Precious Metals go up and down completely randomly.
Pair Corralation between James Balanced and Precious Metals
Assuming the 90 days horizon James Balanced Golden is expected to under-perform the Precious Metals. But the mutual fund apears to be less risky and, when comparing its historical volatility, James Balanced Golden is 3.79 times less risky than Precious Metals. The mutual fund trades about -0.05 of its potential returns per unit of risk. The Precious Metals Fund is currently generating about 0.22 of returns per unit of risk over similar time horizon. If you would invest 10,161 in Precious Metals Fund on December 20, 2024 and sell it today you would earn a total of 2,745 from holding Precious Metals Fund or generate 27.02% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 98.33% |
Values | Daily Returns |
James Balanced Golden vs. Precious Metals Fund
Performance |
Timeline |
James Balanced Golden |
Precious Metals |
James Balanced and Precious Metals Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with James Balanced and Precious Metals
The main advantage of trading using opposite James Balanced and Precious Metals positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if James Balanced position performs unexpectedly, Precious Metals 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 Precious Metals will offset losses from the drop in Precious Metals' 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 |
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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 Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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