Correlation Between Qs Defensive and Ftfa-franklin Templeton
Can any of the company-specific risk be diversified away by investing in both Qs Defensive and Ftfa-franklin Templeton 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 Qs Defensive and Ftfa-franklin Templeton into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Qs Defensive Growth and Ftfa Franklin Templeton Growth, you can compare the effects of market volatilities on Qs Defensive and Ftfa-franklin Templeton 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 Qs Defensive with a short position of Ftfa-franklin Templeton. Check out your portfolio center. Please also check ongoing floating volatility patterns of Qs Defensive and Ftfa-franklin Templeton.
Diversification Opportunities for Qs Defensive and Ftfa-franklin Templeton
0.99 | Correlation Coefficient |
No risk reduction
The 3 months correlation between LMLRX and Ftfa-franklin is 0.99. Overlapping area represents the amount of risk that can be diversified away by holding Qs Defensive Growth and Ftfa Franklin Templeton Growth in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Ftfa Franklin Templeton and Qs Defensive 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 Qs Defensive Growth are associated (or correlated) with Ftfa-franklin Templeton. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Ftfa Franklin Templeton has no effect on the direction of Qs Defensive i.e., Qs Defensive and Ftfa-franklin Templeton go up and down completely randomly.
Pair Corralation between Qs Defensive and Ftfa-franklin Templeton
Assuming the 90 days horizon Qs Defensive is expected to generate 1.93 times less return on investment than Ftfa-franklin Templeton. But when comparing it to its historical volatility, Qs Defensive Growth is 1.87 times less risky than Ftfa-franklin Templeton. It trades about 0.06 of its potential returns per unit of risk. Ftfa Franklin Templeton Growth is currently generating about 0.06 of returns per unit of risk over similar time horizon. If you would invest 1,891 in Ftfa Franklin Templeton Growth on May 28, 2025 and sell it today you would earn a total of 262.00 from holding Ftfa Franklin Templeton Growth or generate 13.86% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 99.59% |
Values | Daily Returns |
Qs Defensive Growth vs. Ftfa Franklin Templeton Growth
Performance |
Timeline |
Qs Defensive Growth |
Ftfa Franklin Templeton |
Qs Defensive and Ftfa-franklin Templeton Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Qs Defensive and Ftfa-franklin Templeton
The main advantage of trading using opposite Qs Defensive and Ftfa-franklin Templeton positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Qs Defensive position performs unexpectedly, Ftfa-franklin Templeton 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 Ftfa-franklin Templeton will offset losses from the drop in Ftfa-franklin Templeton's long position.Qs Defensive vs. Calamos Growth Fund | Qs Defensive vs. Needham Aggressive Growth | Qs Defensive vs. T Rowe Price | Qs Defensive vs. Praxis Genesis Growth |
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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 Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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