Correlation Between Astor Star and James Aggressive
Can any of the company-specific risk be diversified away by investing in both Astor Star and James Aggressive 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 Astor Star and James Aggressive into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Astor Star Fund and James Aggressive Allocation, you can compare the effects of market volatilities on Astor Star and James Aggressive 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 Astor Star with a short position of James Aggressive. Check out your portfolio center. Please also check ongoing floating volatility patterns of Astor Star and James Aggressive.
Diversification Opportunities for Astor Star and James Aggressive
1.0 | Correlation Coefficient |
No risk reduction
The 3 months correlation between Astor and James is 1.0. Overlapping area represents the amount of risk that can be diversified away by holding Astor Star Fund and James Aggressive Allocation in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on James Aggressive All and Astor Star 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 Astor Star Fund are associated (or correlated) with James Aggressive. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of James Aggressive All has no effect on the direction of Astor Star i.e., Astor Star and James Aggressive go up and down completely randomly.
Pair Corralation between Astor Star and James Aggressive
Assuming the 90 days horizon Astor Star Fund is expected to under-perform the James Aggressive. But the mutual fund apears to be less risky and, when comparing its historical volatility, Astor Star Fund is 1.23 times less risky than James Aggressive. The mutual fund trades about 0.0 of its potential returns per unit of risk. The James Aggressive Allocation is currently generating about 0.04 of returns per unit of risk over similar time horizon. If you would invest 1,455 in James Aggressive Allocation on May 8, 2025 and sell it today you would earn a total of 64.00 from holding James Aggressive Allocation or generate 4.4% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Astor Star Fund vs. James Aggressive Allocation
Performance |
Timeline |
Astor Star Fund |
James Aggressive All |
Astor Star and James Aggressive Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Astor Star and James Aggressive
The main advantage of trading using opposite Astor Star and James Aggressive positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Astor Star position performs unexpectedly, James Aggressive 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 James Aggressive will offset losses from the drop in James Aggressive's long position.Astor Star vs. Astor Star Fund | Astor Star vs. Astor Star Fund | Astor Star vs. Astor Longshort Fund | Astor Star vs. Nasdaq 100 Fund Class |
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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 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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