Correlation Between Franklin High and Qs Defensive
Can any of the company-specific risk be diversified away by investing in both Franklin High and Qs Defensive 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 Franklin High and Qs Defensive into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Franklin High Yield and Qs Defensive Growth, you can compare the effects of market volatilities on Franklin High and Qs Defensive 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 Franklin High with a short position of Qs Defensive. Check out your portfolio center. Please also check ongoing floating volatility patterns of Franklin High and Qs Defensive.
Diversification Opportunities for Franklin High and Qs Defensive
0.7 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Franklin and LMLRX is 0.7. Overlapping area represents the amount of risk that can be diversified away by holding Franklin High Yield and Qs Defensive Growth in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Qs Defensive Growth and Franklin High 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 Franklin High Yield are associated (or correlated) with Qs Defensive. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Qs Defensive Growth has no effect on the direction of Franklin High i.e., Franklin High and Qs Defensive go up and down completely randomly.
Pair Corralation between Franklin High and Qs Defensive
Assuming the 90 days horizon Franklin High is expected to generate 1.38 times less return on investment than Qs Defensive. But when comparing it to its historical volatility, Franklin High Yield is 1.64 times less risky than Qs Defensive. It trades about 0.08 of its potential returns per unit of risk. Qs Defensive Growth is currently generating about 0.07 of returns per unit of risk over similar time horizon. If you would invest 1,209 in Qs Defensive Growth on October 9, 2024 and sell it today you would earn a total of 82.00 from holding Qs Defensive Growth or generate 6.78% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Franklin High Yield vs. Qs Defensive Growth
Performance |
Timeline |
Franklin High Yield |
Qs Defensive Growth |
Franklin High and Qs Defensive Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Franklin High and Qs Defensive
The main advantage of trading using opposite Franklin High and Qs Defensive positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Franklin High position performs unexpectedly, Qs Defensive 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 Qs Defensive will offset losses from the drop in Qs Defensive's long position.Franklin High vs. Heartland Value Plus | Franklin High vs. Valic Company I | Franklin High vs. Lsv Small Cap | Franklin High vs. Ultrasmall Cap Profund Ultrasmall Cap |
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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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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