Correlation Between Hartford Financial and Extra Space
Can any of the company-specific risk be diversified away by investing in both Hartford Financial and Extra Space 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 Financial and Extra Space into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between The Hartford Financial and Extra Space Storage, you can compare the effects of market volatilities on Hartford Financial and Extra Space 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 Financial with a short position of Extra Space. Check out your portfolio center. Please also check ongoing floating volatility patterns of Hartford Financial and Extra Space.
Diversification Opportunities for Hartford Financial and Extra Space
-0.41 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Hartford and Extra is -0.41. Overlapping area represents the amount of risk that can be diversified away by holding The Hartford Financial and Extra Space Storage in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Extra Space Storage and Hartford Financial 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 Financial are associated (or correlated) with Extra Space. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Extra Space Storage has no effect on the direction of Hartford Financial i.e., Hartford Financial and Extra Space go up and down completely randomly.
Pair Corralation between Hartford Financial and Extra Space
Assuming the 90 days trading horizon The Hartford Financial is expected to generate 0.03 times more return on investment than Extra Space. However, The Hartford Financial is 31.24 times less risky than Extra Space. It trades about 0.13 of its potential returns per unit of risk. Extra Space Storage is currently generating about -0.13 per unit of risk. If you would invest 51,772 in The Hartford Financial on December 25, 2024 and sell it today you would earn a total of 208.00 from holding The Hartford Financial or generate 0.4% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
The Hartford Financial vs. Extra Space Storage
Performance |
Timeline |
The Hartford Financial |
Extra Space Storage |
Hartford Financial and Extra Space Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Hartford Financial and Extra Space
The main advantage of trading using opposite Hartford Financial and Extra Space positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Hartford Financial position performs unexpectedly, Extra Space 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 Extra Space will offset losses from the drop in Extra Space's long position.Hartford Financial vs. Lumen Technologies, | Hartford Financial vs. Warner Music Group | Hartford Financial vs. Cincinnati Financial | Hartford Financial vs. Zoom Video Communications |
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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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