Correlation Between Applied Finance and Heartland Value
Can any of the company-specific risk be diversified away by investing in both Applied Finance and Heartland Value 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 Heartland Value 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 Heartland Value Plus, you can compare the effects of market volatilities on Applied Finance and Heartland Value 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 Heartland Value. Check out your portfolio center. Please also check ongoing floating volatility patterns of Applied Finance and Heartland Value.
Diversification Opportunities for Applied Finance and Heartland Value
0.98 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Applied and Heartland is 0.98. Overlapping area represents the amount of risk that can be diversified away by holding Applied Finance Explorer and Heartland Value Plus in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Heartland Value Plus 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 Heartland Value. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Heartland Value Plus has no effect on the direction of Applied Finance i.e., Applied Finance and Heartland Value go up and down completely randomly.
Pair Corralation between Applied Finance and Heartland Value
Assuming the 90 days horizon Applied Finance Explorer is expected to generate 0.9 times more return on investment than Heartland Value. However, Applied Finance Explorer is 1.11 times less risky than Heartland Value. It trades about -0.08 of its potential returns per unit of risk. Heartland Value Plus is currently generating about -0.11 per unit of risk. If you would invest 2,175 in Applied Finance Explorer on December 31, 2024 and sell it today you would lose (117.00) from holding Applied Finance Explorer or give up 5.38% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Applied Finance Explorer vs. Heartland Value Plus
Performance |
Timeline |
Applied Finance Explorer |
Heartland Value Plus |
Applied Finance and Heartland Value Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Applied Finance and Heartland Value
The main advantage of trading using opposite Applied Finance and Heartland Value positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Applied Finance position performs unexpectedly, Heartland Value 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 Heartland Value will offset losses from the drop in Heartland Value'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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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