Correlation Between Balanced Strategy and Growth Strategy
Can any of the company-specific risk be diversified away by investing in both Balanced Strategy and Growth Strategy 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 Balanced Strategy and Growth Strategy into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Balanced Strategy Fund and Growth Strategy Fund, you can compare the effects of market volatilities on Balanced Strategy and Growth Strategy 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 Balanced Strategy with a short position of Growth Strategy. Check out your portfolio center. Please also check ongoing floating volatility patterns of Balanced Strategy and Growth Strategy.
Diversification Opportunities for Balanced Strategy and Growth Strategy
0.62 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Balanced and Growth is 0.62. Overlapping area represents the amount of risk that can be diversified away by holding Balanced Strategy Fund and Growth Strategy Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Growth Strategy and Balanced 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 Balanced Strategy Fund are associated (or correlated) with Growth Strategy. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Growth Strategy has no effect on the direction of Balanced Strategy i.e., Balanced Strategy and Growth Strategy go up and down completely randomly.
Pair Corralation between Balanced Strategy and Growth Strategy
Assuming the 90 days horizon Balanced Strategy Fund is expected to generate 0.8 times more return on investment than Growth Strategy. However, Balanced Strategy Fund is 1.26 times less risky than Growth Strategy. It trades about 0.06 of its potential returns per unit of risk. Growth Strategy Fund is currently generating about 0.02 per unit of risk. If you would invest 1,109 in Balanced Strategy Fund on August 25, 2024 and sell it today you would earn a total of 7.00 from holding Balanced Strategy Fund or generate 0.63% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Balanced Strategy Fund vs. Growth Strategy Fund
Performance |
| Timeline |
| Balanced Strategy |
| Growth Strategy |
Balanced Strategy and Growth Strategy Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Balanced Strategy and Growth Strategy
The main advantage of trading using opposite Balanced Strategy and Growth Strategy positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Balanced Strategy position performs unexpectedly, Growth Strategy 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 Growth Strategy will offset losses from the drop in Growth Strategy's long position.| Balanced Strategy vs. Victory Rs Partners | Balanced Strategy vs. Lord Abbett Small | Balanced Strategy vs. Mutual Of America | Balanced Strategy vs. Great West Loomis Sayles |
| Growth Strategy vs. Gabelli Convertible And | Growth Strategy vs. Allianzgi Vertible Fund | Growth Strategy vs. Absolute Convertible Arbitrage | Growth Strategy vs. Lord Abbett Vertible |
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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