Correlation Between Hartford Growth and Growth Strategy
Can any of the company-specific risk be diversified away by investing in both Hartford Growth 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 Hartford Growth and Growth Strategy into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between The Hartford Growth and Growth Strategy Fund, you can compare the effects of market volatilities on Hartford Growth 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 Hartford Growth with a short position of Growth Strategy. Check out your portfolio center. Please also check ongoing floating volatility patterns of Hartford Growth and Growth Strategy.
Diversification Opportunities for Hartford Growth and Growth Strategy
0.02 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Hartford and Growth is 0.02. Overlapping area represents the amount of risk that can be diversified away by holding The Hartford Growth and Growth Strategy Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Growth Strategy and Hartford Growth 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 Growth 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 Hartford Growth i.e., Hartford Growth and Growth Strategy go up and down completely randomly.
Pair Corralation between Hartford Growth and Growth Strategy
Assuming the 90 days horizon The Hartford Growth is expected to generate 1.91 times more return on investment than Growth Strategy. However, Hartford Growth is 1.91 times more volatile than Growth Strategy Fund. It trades about 0.15 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 6,340 in The Hartford Growth on October 26, 2024 and sell it today you would earn a total of 685.00 from holding The Hartford Growth or generate 10.8% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 98.33% |
Values | Daily Returns |
The Hartford Growth vs. Growth Strategy Fund
Performance |
Timeline |
Hartford Growth |
Growth Strategy |
Hartford Growth and Growth Strategy Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Hartford Growth and Growth Strategy
The main advantage of trading using opposite Hartford Growth and Growth Strategy positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Hartford Growth 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.Hartford Growth vs. Black Oak Emerging | Hartford Growth vs. Investec Emerging Markets | Hartford Growth vs. Eagle Mlp Strategy | Hartford Growth vs. Embark Commodity Strategy |
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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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