Correlation Between SGI Enhanced and Franklin Templeton
Can any of the company-specific risk be diversified away by investing in both SGI Enhanced and 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 SGI Enhanced and Franklin Templeton into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between SGI Enhanced Core and Franklin Templeton ETF, you can compare the effects of market volatilities on SGI Enhanced and 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 SGI Enhanced with a short position of Franklin Templeton. Check out your portfolio center. Please also check ongoing floating volatility patterns of SGI Enhanced and Franklin Templeton.
Diversification Opportunities for SGI Enhanced and Franklin Templeton
0.3 | Correlation Coefficient |
Weak diversification
The 3 months correlation between SGI and Franklin is 0.3. Overlapping area represents the amount of risk that can be diversified away by holding SGI Enhanced Core and Franklin Templeton ETF in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Franklin Templeton ETF and SGI Enhanced 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 SGI Enhanced Core are associated (or correlated) with 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 Franklin Templeton ETF has no effect on the direction of SGI Enhanced i.e., SGI Enhanced and Franklin Templeton go up and down completely randomly.
Pair Corralation between SGI Enhanced and Franklin Templeton
Given the investment horizon of 90 days SGI Enhanced Core is expected to generate 0.09 times more return on investment than Franklin Templeton. However, SGI Enhanced Core is 11.53 times less risky than Franklin Templeton. It trades about 0.3 of its potential returns per unit of risk. Franklin Templeton ETF is currently generating about -0.05 per unit of risk. If you would invest 2,589 in SGI Enhanced Core on August 26, 2024 and sell it today you would earn a total of 37.00 from holding SGI Enhanced Core or generate 1.43% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
SGI Enhanced Core vs. Franklin Templeton ETF
Performance |
Timeline |
SGI Enhanced Core |
Franklin Templeton ETF |
SGI Enhanced and Franklin Templeton Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with SGI Enhanced and Franklin Templeton
The main advantage of trading using opposite SGI Enhanced and Franklin Templeton positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SGI Enhanced position performs unexpectedly, 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 Franklin Templeton will offset losses from the drop in Franklin Templeton's long position.SGI Enhanced vs. Tidal Trust II | SGI Enhanced vs. Tidal Trust II | SGI Enhanced vs. First Trust Dorsey | SGI Enhanced vs. Direxion Daily META |
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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 Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.
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