Correlation Between Applied Finance and Massmutual Select
Can any of the company-specific risk be diversified away by investing in both Applied Finance and Massmutual Select 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 Massmutual Select 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 Massmutual Select T, you can compare the effects of market volatilities on Applied Finance and Massmutual Select 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 Massmutual Select. Check out your portfolio center. Please also check ongoing floating volatility patterns of Applied Finance and Massmutual Select.
Diversification Opportunities for Applied Finance and Massmutual Select
0.87 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Applied and Massmutual is 0.87. Overlapping area represents the amount of risk that can be diversified away by holding Applied Finance Explorer and Massmutual Select T in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Massmutual Select 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 Massmutual Select. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Massmutual Select has no effect on the direction of Applied Finance i.e., Applied Finance and Massmutual Select go up and down completely randomly.
Pair Corralation between Applied Finance and Massmutual Select
Assuming the 90 days horizon Applied Finance Explorer is expected to generate 1.31 times more return on investment than Massmutual Select. However, Applied Finance is 1.31 times more volatile than Massmutual Select T. It trades about 0.04 of its potential returns per unit of risk. Massmutual Select T is currently generating about 0.04 per unit of risk. If you would invest 2,020 in Applied Finance Explorer on October 24, 2024 and sell it today you would earn a total of 235.00 from holding Applied Finance Explorer or generate 11.63% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 99.6% |
Values | Daily Returns |
Applied Finance Explorer vs. Massmutual Select T
Performance |
Timeline |
Applied Finance Explorer |
Massmutual Select |
Applied Finance and Massmutual Select Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Applied Finance and Massmutual Select
The main advantage of trading using opposite Applied Finance and Massmutual Select positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Applied Finance position performs unexpectedly, Massmutual Select 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 Massmutual Select will offset losses from the drop in Massmutual Select'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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