Correlation Between Applied Finance and Davenport Value
Can any of the company-specific risk be diversified away by investing in both Applied Finance and Davenport 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 Davenport 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 Davenport Value Income, you can compare the effects of market volatilities on Applied Finance and Davenport 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 Davenport Value. Check out your portfolio center. Please also check ongoing floating volatility patterns of Applied Finance and Davenport Value.
Diversification Opportunities for Applied Finance and Davenport Value
0.89 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Applied and Davenport is 0.89. Overlapping area represents the amount of risk that can be diversified away by holding Applied Finance Explorer and Davenport Value Income in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Davenport Value Income 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 Davenport Value. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Davenport Value Income has no effect on the direction of Applied Finance i.e., Applied Finance and Davenport Value go up and down completely randomly.
Pair Corralation between Applied Finance and Davenport Value
Assuming the 90 days horizon Applied Finance Explorer is expected to generate 2.42 times more return on investment than Davenport Value. However, Applied Finance is 2.42 times more volatile than Davenport Value Income. It trades about 0.25 of its potential returns per unit of risk. Davenport Value Income is currently generating about 0.25 per unit of risk. If you would invest 2,256 in Applied Finance Explorer on September 5, 2024 and sell it today you would earn a total of 172.00 from holding Applied Finance Explorer or generate 7.62% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 95.45% |
Values | Daily Returns |
Applied Finance Explorer vs. Davenport Value Income
Performance |
Timeline |
Applied Finance Explorer |
Davenport Value Income |
Applied Finance and Davenport Value Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Applied Finance and Davenport Value
The main advantage of trading using opposite Applied Finance and Davenport Value positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Applied Finance position performs unexpectedly, Davenport 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 Davenport Value will offset losses from the drop in Davenport 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 Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
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