Correlation Between Loomis Sayles and Schwab Treasury
Can any of the company-specific risk be diversified away by investing in both Loomis Sayles and Schwab Treasury 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 Schwab Treasury 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 Schwab Treasury Inflation, you can compare the effects of market volatilities on Loomis Sayles and Schwab Treasury 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 Schwab Treasury. Check out your portfolio center. Please also check ongoing floating volatility patterns of Loomis Sayles and Schwab Treasury.
Diversification Opportunities for Loomis Sayles and Schwab Treasury
1.0 | Correlation Coefficient |
No risk reduction
The 3 months correlation between Loomis and Schwab is 1.0. Overlapping area represents the amount of risk that can be diversified away by holding Loomis Sayles Inflation and Schwab Treasury Inflation in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Schwab Treasury Inflation 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 Schwab Treasury. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Schwab Treasury Inflation has no effect on the direction of Loomis Sayles i.e., Loomis Sayles and Schwab Treasury go up and down completely randomly.
Pair Corralation between Loomis Sayles and Schwab Treasury
Assuming the 90 days horizon Loomis Sayles is expected to generate 1.05 times less return on investment than Schwab Treasury. In addition to that, Loomis Sayles is 1.03 times more volatile than Schwab Treasury Inflation. It trades about 0.07 of its total potential returns per unit of risk. Schwab Treasury Inflation is currently generating about 0.08 per unit of volatility. If you would invest 982.00 in Schwab Treasury Inflation on August 25, 2024 and sell it today you would earn a total of 39.00 from holding Schwab Treasury Inflation or generate 3.97% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Loomis Sayles Inflation vs. Schwab Treasury Inflation
Performance |
Timeline |
Loomis Sayles Inflation |
Schwab Treasury Inflation |
Loomis Sayles and Schwab Treasury Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Loomis Sayles and Schwab Treasury
The main advantage of trading using opposite Loomis Sayles and Schwab Treasury positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Loomis Sayles position performs unexpectedly, Schwab Treasury 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 Schwab Treasury will offset losses from the drop in Schwab Treasury's long position.Loomis Sayles vs. Loomis Sayles Inflation | Loomis Sayles vs. Loomis Sayles Bond | Loomis Sayles vs. Loomis Sayles Bond | Loomis Sayles vs. Loomis Sayles Small |
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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 Odds Of Bankruptcy module to get analysis of equity chance of financial distress in the next 2 years.
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