Correlation Between Moderate Strategy and Moderate Balanced
Can any of the company-specific risk be diversified away by investing in both Moderate Strategy and Moderate Balanced 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 Moderate Strategy and Moderate Balanced into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Moderate Strategy Fund and Moderate Balanced Allocation, you can compare the effects of market volatilities on Moderate Strategy and Moderate Balanced 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 Moderate Strategy with a short position of Moderate Balanced. Check out your portfolio center. Please also check ongoing floating volatility patterns of Moderate Strategy and Moderate Balanced.
Diversification Opportunities for Moderate Strategy and Moderate Balanced
0.99 | Correlation Coefficient |
No risk reduction
The 3 months correlation between Moderate and Moderate is 0.99. Overlapping area represents the amount of risk that can be diversified away by holding Moderate Strategy Fund and Moderate Balanced Allocation in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Moderate Balanced and Moderate Strategy 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 Moderate Strategy Fund are associated (or correlated) with Moderate Balanced. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Moderate Balanced has no effect on the direction of Moderate Strategy i.e., Moderate Strategy and Moderate Balanced go up and down completely randomly.
Pair Corralation between Moderate Strategy and Moderate Balanced
Assuming the 90 days horizon Moderate Strategy is expected to generate 1.18 times less return on investment than Moderate Balanced. But when comparing it to its historical volatility, Moderate Strategy Fund is 1.33 times less risky than Moderate Balanced. It trades about 0.22 of its potential returns per unit of risk. Moderate Balanced Allocation is currently generating about 0.2 of returns per unit of risk over similar time horizon. If you would invest 1,185 in Moderate Balanced Allocation on May 11, 2025 and sell it today you would earn a total of 65.00 from holding Moderate Balanced Allocation or generate 5.49% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Moderate Strategy Fund vs. Moderate Balanced Allocation
Performance |
Timeline |
Moderate Strategy |
Risk-Adjusted Performance
Solid
Weak | Strong |
Moderate Balanced |
Moderate Strategy and Moderate Balanced Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Moderate Strategy and Moderate Balanced
The main advantage of trading using opposite Moderate Strategy and Moderate Balanced positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Moderate Strategy position performs unexpectedly, Moderate Balanced 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 Moderate Balanced will offset losses from the drop in Moderate Balanced's long position.Moderate Strategy vs. Jhvit International Small | Moderate Strategy vs. Sp Smallcap 600 | Moderate Strategy vs. Qs Small Capitalization | Moderate Strategy vs. Smallcap Fund Fka |
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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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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