Correlation Between Loomis Sayles and Templeton Emerging
Can any of the company-specific risk be diversified away by investing in both Loomis Sayles and Templeton Emerging 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 Loomis Sayles and Templeton Emerging into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Loomis Sayles Inflation and Templeton Emerging Markets, you can compare the effects of market volatilities on Loomis Sayles and Templeton Emerging 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 Loomis Sayles with a short position of Templeton Emerging. Check out your portfolio center. Please also check ongoing floating volatility patterns of Loomis Sayles and Templeton Emerging.
Diversification Opportunities for Loomis Sayles and Templeton Emerging
0.8 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Loomis and Templeton is 0.8. Overlapping area represents the amount of risk that can be diversified away by holding Loomis Sayles Inflation and Templeton Emerging Markets in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Templeton Emerging and Loomis Sayles 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 Loomis Sayles Inflation are associated (or correlated) with Templeton Emerging. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Templeton Emerging has no effect on the direction of Loomis Sayles i.e., Loomis Sayles and Templeton Emerging go up and down completely randomly.
Pair Corralation between Loomis Sayles and Templeton Emerging
Assuming the 90 days horizon Loomis Sayles Inflation is expected to generate 0.58 times more return on investment than Templeton Emerging. However, Loomis Sayles Inflation is 1.74 times less risky than Templeton Emerging. It trades about -0.25 of its potential returns per unit of risk. Templeton Emerging Markets is currently generating about -0.2 per unit of risk. If you would invest 986.00 in Loomis Sayles Inflation on October 1, 2024 and sell it today you would lose (42.00) from holding Loomis Sayles Inflation or give up 4.26% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Loomis Sayles Inflation vs. Templeton Emerging Markets
Performance |
Timeline |
Loomis Sayles Inflation |
Templeton Emerging |
Loomis Sayles and Templeton Emerging Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Loomis Sayles and Templeton Emerging
The main advantage of trading using opposite Loomis Sayles and Templeton Emerging positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Loomis Sayles position performs unexpectedly, Templeton Emerging 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 Emerging will offset losses from the drop in Templeton Emerging's long position.Loomis Sayles vs. Ultra Short Fixed Income | Loomis Sayles vs. Ft 7934 Corporate | Loomis Sayles vs. Ms Global Fixed | Loomis Sayles vs. Federated Porate Bond |
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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 Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
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