Correlation Between Inverse Government and Loomis Sayles
Can any of the company-specific risk be diversified away by investing in both Inverse Government and Loomis Sayles 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 Inverse Government and Loomis Sayles into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Inverse Government Long and Loomis Sayles Global, you can compare the effects of market volatilities on Inverse Government and Loomis Sayles 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 Inverse Government with a short position of Loomis Sayles. Check out your portfolio center. Please also check ongoing floating volatility patterns of Inverse Government and Loomis Sayles.
Diversification Opportunities for Inverse Government and Loomis Sayles
-0.78 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Inverse and Loomis is -0.78. Overlapping area represents the amount of risk that can be diversified away by holding Inverse Government Long and Loomis Sayles Global in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Loomis Sayles Global and Inverse Government 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 Inverse Government Long are associated (or correlated) with Loomis Sayles. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Loomis Sayles Global has no effect on the direction of Inverse Government i.e., Inverse Government and Loomis Sayles go up and down completely randomly.
Pair Corralation between Inverse Government and Loomis Sayles
Assuming the 90 days horizon Inverse Government Long is expected to generate 0.36 times more return on investment than Loomis Sayles. However, Inverse Government Long is 2.78 times less risky than Loomis Sayles. It trades about 0.58 of its potential returns per unit of risk. Loomis Sayles Global is currently generating about -0.25 per unit of risk. If you would invest 17,624 in Inverse Government Long on October 12, 2024 and sell it today you would earn a total of 1,333 from holding Inverse Government Long or generate 7.56% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Inverse Government Long vs. Loomis Sayles Global
Performance |
Timeline |
Inverse Government Long |
Loomis Sayles Global |
Inverse Government and Loomis Sayles Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Inverse Government and Loomis Sayles
The main advantage of trading using opposite Inverse Government and Loomis Sayles positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Inverse Government position performs unexpectedly, Loomis Sayles 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 Loomis Sayles will offset losses from the drop in Loomis Sayles' long position.Inverse Government vs. Franklin Government Money | Inverse Government vs. Bbh Intermediate Municipal | Inverse Government vs. Maryland Tax Free Bond | Inverse Government vs. Leader Short Term 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 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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