Correlation Between Applied Finance and Hartford Balanced
Can any of the company-specific risk be diversified away by investing in both Applied Finance and Hartford Balanced 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 Applied Finance and Hartford Balanced into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Applied Finance Explorer and The Hartford Balanced, you can compare the effects of market volatilities on Applied Finance and Hartford Balanced 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 Applied Finance with a short position of Hartford Balanced. Check out your portfolio center. Please also check ongoing floating volatility patterns of Applied Finance and Hartford Balanced.
Diversification Opportunities for Applied Finance and Hartford Balanced
-0.1 | Correlation Coefficient |
Good diversification
The 3 months correlation between Applied and Hartford is -0.1. Overlapping area represents the amount of risk that can be diversified away by holding Applied Finance Explorer and The Hartford Balanced in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hartford Balanced and Applied Finance 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 Applied Finance Explorer are associated (or correlated) with Hartford Balanced. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hartford Balanced has no effect on the direction of Applied Finance i.e., Applied Finance and Hartford Balanced go up and down completely randomly.
Pair Corralation between Applied Finance and Hartford Balanced
Assuming the 90 days horizon Applied Finance Explorer is expected to under-perform the Hartford Balanced. In addition to that, Applied Finance is 2.66 times more volatile than The Hartford Balanced. It trades about -0.05 of its total potential returns per unit of risk. The Hartford Balanced is currently generating about 0.07 per unit of volatility. If you would invest 1,418 in The Hartford Balanced on December 29, 2024 and sell it today you would earn a total of 23.00 from holding The Hartford Balanced or generate 1.62% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 98.39% |
Values | Daily Returns |
Applied Finance Explorer vs. The Hartford Balanced
Performance |
Timeline |
Applied Finance Explorer |
Hartford Balanced |
Applied Finance and Hartford Balanced Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Applied Finance and Hartford Balanced
The main advantage of trading using opposite Applied Finance and Hartford Balanced positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Applied Finance position performs unexpectedly, Hartford Balanced 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 Hartford Balanced will offset losses from the drop in Hartford Balanced's long position.Applied Finance vs. Thrivent Small Cap | Applied Finance vs. Applied Finance Select | Applied Finance vs. Parnassus Endeavor Fund | Applied Finance vs. Queens Road Small |
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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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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