Correlation Between Templeton Global and Wcm Focused
Can any of the company-specific risk be diversified away by investing in both Templeton Global and Wcm Focused 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 Templeton Global and Wcm Focused into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Templeton Global Balanced and Wcm Focused Emerging, you can compare the effects of market volatilities on Templeton Global and Wcm Focused 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 Templeton Global with a short position of Wcm Focused. Check out your portfolio center. Please also check ongoing floating volatility patterns of Templeton Global and Wcm Focused.
Diversification Opportunities for Templeton Global and Wcm Focused
0.48 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Templeton and Wcm is 0.48. Overlapping area represents the amount of risk that can be diversified away by holding Templeton Global Balanced and Wcm Focused Emerging in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Wcm Focused Emerging and Templeton Global 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 Templeton Global Balanced are associated (or correlated) with Wcm Focused. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Wcm Focused Emerging has no effect on the direction of Templeton Global i.e., Templeton Global and Wcm Focused go up and down completely randomly.
Pair Corralation between Templeton Global and Wcm Focused
Assuming the 90 days horizon Templeton Global Balanced is expected to generate 0.67 times more return on investment than Wcm Focused. However, Templeton Global Balanced is 1.49 times less risky than Wcm Focused. It trades about 0.15 of its potential returns per unit of risk. Wcm Focused Emerging is currently generating about 0.03 per unit of risk. If you would invest 238.00 in Templeton Global Balanced on October 19, 2024 and sell it today you would earn a total of 4.00 from holding Templeton Global Balanced or generate 1.68% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 95.0% |
Values | Daily Returns |
Templeton Global Balanced vs. Wcm Focused Emerging
Performance |
Timeline |
Templeton Global Balanced |
Wcm Focused Emerging |
Templeton Global and Wcm Focused Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Templeton Global and Wcm Focused
The main advantage of trading using opposite Templeton Global and Wcm Focused positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Templeton Global position performs unexpectedly, Wcm Focused 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 Wcm Focused will offset losses from the drop in Wcm Focused's long position.Templeton Global vs. Wcm Focused Emerging | Templeton Global vs. Alphacentric Symmetry Strategy | Templeton Global vs. Oberweis Emerging Growth | Templeton Global vs. Siit Emerging Markets |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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