Correlation Between Tax Free and Loomis Sayles
Can any of the company-specific risk be diversified away by investing in both Tax Free 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 Tax Free and Loomis Sayles into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Tax Free Conservative Income and Loomis Sayles Small, you can compare the effects of market volatilities on Tax Free 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 Tax Free with a short position of Loomis Sayles. Check out your portfolio center. Please also check ongoing floating volatility patterns of Tax Free and Loomis Sayles.
Diversification Opportunities for Tax Free and Loomis Sayles
0.72 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Tax and Loomis is 0.72. Overlapping area represents the amount of risk that can be diversified away by holding Tax Free Conservative Income and Loomis Sayles Small in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Loomis Sayles Small and Tax Free 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 Tax Free Conservative Income 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 Small has no effect on the direction of Tax Free i.e., Tax Free and Loomis Sayles go up and down completely randomly.
Pair Corralation between Tax Free and Loomis Sayles
Assuming the 90 days horizon Tax Free is expected to generate 4.49 times less return on investment than Loomis Sayles. But when comparing it to its historical volatility, Tax Free Conservative Income is 18.61 times less risky than Loomis Sayles. It trades about 0.2 of its potential returns per unit of risk. Loomis Sayles Small is currently generating about 0.05 of returns per unit of risk over similar time horizon. If you would invest 2,068 in Loomis Sayles Small on September 23, 2024 and sell it today you would earn a total of 550.00 from holding Loomis Sayles Small or generate 26.6% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Tax Free Conservative Income vs. Loomis Sayles Small
Performance |
Timeline |
Tax Free Conservative |
Loomis Sayles Small |
Tax Free and Loomis Sayles Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Tax Free and Loomis Sayles
The main advantage of trading using opposite Tax Free and Loomis Sayles positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Tax Free 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.Tax Free vs. Simt Multi Asset Accumulation | Tax Free vs. Saat Market Growth | Tax Free vs. Simt Real Return | Tax Free vs. Simt Small Cap |
Loomis Sayles vs. Jpmorgan Diversified Fund | Loomis Sayles vs. Western Asset Diversified | Loomis Sayles vs. Tax Free Conservative Income | Loomis Sayles vs. Aqr Diversified Arbitrage |
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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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