Correlation Between Templeton World and Templeton Global
Can any of the company-specific risk be diversified away by investing in both Templeton World and Templeton Global 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 World and Templeton Global into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Templeton World Fund and Templeton Global Bond, you can compare the effects of market volatilities on Templeton World and Templeton Global 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 World with a short position of Templeton Global. Check out your portfolio center. Please also check ongoing floating volatility patterns of Templeton World and Templeton Global.
Diversification Opportunities for Templeton World and Templeton Global
-0.46 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Templeton and Templeton is -0.46. Overlapping area represents the amount of risk that can be diversified away by holding Templeton World Fund and Templeton Global Bond in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Templeton Global Bond and Templeton World 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 World Fund are associated (or correlated) with Templeton Global. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Templeton Global Bond has no effect on the direction of Templeton World i.e., Templeton World and Templeton Global go up and down completely randomly.
Pair Corralation between Templeton World and Templeton Global
Assuming the 90 days horizon Templeton World Fund is expected to generate 1.46 times more return on investment than Templeton Global. However, Templeton World is 1.46 times more volatile than Templeton Global Bond. It trades about 0.03 of its potential returns per unit of risk. Templeton Global Bond is currently generating about -0.15 per unit of risk. If you would invest 1,671 in Templeton World Fund on August 30, 2024 and sell it today you would earn a total of 26.00 from holding Templeton World Fund or generate 1.56% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Templeton World Fund vs. Templeton Global Bond
Performance |
Timeline |
Templeton World |
Templeton Global Bond |
Templeton World and Templeton Global Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Templeton World and Templeton Global
The main advantage of trading using opposite Templeton World and Templeton Global positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Templeton World position performs unexpectedly, Templeton Global 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 Templeton Global will offset losses from the drop in Templeton Global's long position.Templeton World vs. Ab Value Fund | Templeton World vs. Nova Fund Class | Templeton World vs. Omni Small Cap Value | Templeton World vs. Ab Small 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 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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