Correlation Between The Hartford and Balanced Strategy
Can any of the company-specific risk be diversified away by investing in both The Hartford and Balanced 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 The Hartford and Balanced Strategy into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between The Hartford Inflation and Balanced Strategy Fund, you can compare the effects of market volatilities on The Hartford and Balanced 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 The Hartford with a short position of Balanced Strategy. Check out your portfolio center. Please also check ongoing floating volatility patterns of The Hartford and Balanced Strategy.
Diversification Opportunities for The Hartford and Balanced Strategy
0.79 | Correlation Coefficient |
Poor diversification
The 3 months correlation between The and Balanced is 0.79. Overlapping area represents the amount of risk that can be diversified away by holding The Hartford Inflation and Balanced Strategy Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Balanced Strategy and The Hartford 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 The Hartford Inflation are associated (or correlated) with Balanced Strategy. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Balanced Strategy has no effect on the direction of The Hartford i.e., The Hartford and Balanced Strategy go up and down completely randomly.
Pair Corralation between The Hartford and Balanced Strategy
Assuming the 90 days horizon The Hartford is expected to generate 5.88 times less return on investment than Balanced Strategy. But when comparing it to its historical volatility, The Hartford Inflation is 2.3 times less risky than Balanced Strategy. It trades about 0.11 of its potential returns per unit of risk. Balanced Strategy Fund is currently generating about 0.28 of returns per unit of risk over similar time horizon. If you would invest 1,059 in Balanced Strategy Fund on May 1, 2025 and sell it today you would earn a total of 83.00 from holding Balanced Strategy Fund or generate 7.84% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
The Hartford Inflation vs. Balanced Strategy Fund
Performance |
Timeline |
The Hartford Inflation |
Balanced Strategy |
The Hartford and Balanced Strategy Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with The Hartford and Balanced Strategy
The main advantage of trading using opposite The Hartford and Balanced Strategy positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if The Hartford position performs unexpectedly, Balanced 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 Balanced Strategy will offset losses from the drop in Balanced Strategy's long position.The Hartford vs. Gurtin California Muni | The Hartford vs. John Hancock Municipal | The Hartford vs. Gamco Global Telecommunications | The Hartford vs. Prudential California Muni |
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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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