Correlation Between The Hartford and Guidepath Managed
Can any of the company-specific risk be diversified away by investing in both The Hartford and Guidepath Managed 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 Guidepath Managed into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between The Hartford Healthcare and Guidepath Managed Futures, you can compare the effects of market volatilities on The Hartford and Guidepath Managed 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 Guidepath Managed. Check out your portfolio center. Please also check ongoing floating volatility patterns of The Hartford and Guidepath Managed.
Diversification Opportunities for The Hartford and Guidepath Managed
0.36 | Correlation Coefficient |
Weak diversification
The 3 months correlation between The and Guidepath is 0.36. Overlapping area represents the amount of risk that can be diversified away by holding The Hartford Healthcare and Guidepath Managed Futures in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Guidepath Managed Futures 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 Healthcare are associated (or correlated) with Guidepath Managed. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Guidepath Managed Futures has no effect on the direction of The Hartford i.e., The Hartford and Guidepath Managed go up and down completely randomly.
Pair Corralation between The Hartford and Guidepath Managed
Assuming the 90 days horizon The Hartford Healthcare is expected to generate 2.46 times more return on investment than Guidepath Managed. However, The Hartford is 2.46 times more volatile than Guidepath Managed Futures. It trades about 0.05 of its potential returns per unit of risk. Guidepath Managed Futures is currently generating about 0.07 per unit of risk. If you would invest 3,608 in The Hartford Healthcare on May 21, 2025 and sell it today you would earn a total of 99.00 from holding The Hartford Healthcare or generate 2.74% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
The Hartford Healthcare vs. Guidepath Managed Futures
Performance |
Timeline |
The Hartford Healthcare |
Guidepath Managed Futures |
The Hartford and Guidepath Managed Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with The Hartford and Guidepath Managed
The main advantage of trading using opposite The Hartford and Guidepath Managed positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if The Hartford position performs unexpectedly, Guidepath Managed 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 Guidepath Managed will offset losses from the drop in Guidepath Managed's long position.The Hartford vs. The Hartford Growth | The Hartford vs. The Gabelli Equity | The Hartford vs. The Teberg Fund | The Hartford vs. The Hartford Growth |
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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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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