Correlation Between Guidemark Large and Ftfa Franklin
Can any of the company-specific risk be diversified away by investing in both Guidemark Large and Ftfa Franklin 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 Guidemark Large and Ftfa Franklin into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Guidemark Large Cap and Ftfa Franklin Templeton Growth, you can compare the effects of market volatilities on Guidemark Large and Ftfa Franklin 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 Guidemark Large with a short position of Ftfa Franklin. Check out your portfolio center. Please also check ongoing floating volatility patterns of Guidemark Large and Ftfa Franklin.
Diversification Opportunities for Guidemark Large and Ftfa Franklin
0.79 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Guidemark and Ftfa is 0.79. Overlapping area represents the amount of risk that can be diversified away by holding Guidemark Large Cap 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 Guidemark Large 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 Guidemark Large Cap are associated (or correlated) with Ftfa Franklin. 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 Guidemark Large i.e., Guidemark Large and Ftfa Franklin go up and down completely randomly.
Pair Corralation between Guidemark Large and Ftfa Franklin
Assuming the 90 days horizon Guidemark Large Cap is expected to generate 1.34 times more return on investment than Ftfa Franklin. However, Guidemark Large is 1.34 times more volatile than Ftfa Franklin Templeton Growth. It trades about 0.18 of its potential returns per unit of risk. Ftfa Franklin Templeton Growth is currently generating about 0.21 per unit of risk. If you would invest 1,172 in Guidemark Large Cap on May 4, 2025 and sell it today you would earn a total of 99.00 from holding Guidemark Large Cap or generate 8.45% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Guidemark Large Cap vs. Ftfa Franklin Templeton Growth
Performance |
Timeline |
Guidemark Large Cap |
Ftfa Franklin Templeton |
Guidemark Large and Ftfa Franklin Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Guidemark Large and Ftfa Franklin
The main advantage of trading using opposite Guidemark Large and Ftfa Franklin positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Guidemark Large position performs unexpectedly, Ftfa Franklin 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 will offset losses from the drop in Ftfa Franklin's long position.Guidemark Large vs. Greenspring Fund Retail | Guidemark Large vs. Touchstone International Equity | Guidemark Large vs. The Growth Equity | Guidemark Large vs. T Rowe Price |
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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 Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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