Correlation Between Jpmorgan Core and Loomis Sayles
Can any of the company-specific risk be diversified away by investing in both Jpmorgan Core 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 Jpmorgan Core and Loomis Sayles into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Jpmorgan E Plus and Loomis Sayles Inflation, you can compare the effects of market volatilities on Jpmorgan Core 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 Jpmorgan Core with a short position of Loomis Sayles. Check out your portfolio center. Please also check ongoing floating volatility patterns of Jpmorgan Core and Loomis Sayles.
Diversification Opportunities for Jpmorgan Core and Loomis Sayles
0.81 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Jpmorgan and Loomis is 0.81. Overlapping area represents the amount of risk that can be diversified away by holding Jpmorgan E Plus and Loomis Sayles Inflation in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Loomis Sayles Inflation and Jpmorgan Core 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 Jpmorgan E Plus 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 Inflation has no effect on the direction of Jpmorgan Core i.e., Jpmorgan Core and Loomis Sayles go up and down completely randomly.
Pair Corralation between Jpmorgan Core and Loomis Sayles
Assuming the 90 days horizon Jpmorgan Core is expected to generate 1.13 times less return on investment than Loomis Sayles. In addition to that, Jpmorgan Core is 1.1 times more volatile than Loomis Sayles Inflation. It trades about 0.17 of its total potential returns per unit of risk. Loomis Sayles Inflation is currently generating about 0.21 per unit of volatility. If you would invest 944.00 in Loomis Sayles Inflation on December 23, 2024 and sell it today you would earn a total of 32.00 from holding Loomis Sayles Inflation or generate 3.39% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Jpmorgan E Plus vs. Loomis Sayles Inflation
Performance |
Timeline |
Jpmorgan E Plus |
Loomis Sayles Inflation |
Jpmorgan Core and Loomis Sayles Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Jpmorgan Core and Loomis Sayles
The main advantage of trading using opposite Jpmorgan Core and Loomis Sayles positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Jpmorgan Core 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.Jpmorgan Core vs. Touchstone Small Cap | Jpmorgan Core vs. Old Westbury Small | Jpmorgan Core vs. Nt International Small Mid | Jpmorgan Core vs. Federated Clover 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 Pair Correlation module to compare performance and examine fundamental relationship between any two equity instruments.
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