Correlation Between Jpmorgan Mid and Loomis Sayles
Can any of the company-specific risk be diversified away by investing in both Jpmorgan Mid 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 Mid 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 Mid Cap and Loomis Sayles Small, you can compare the effects of market volatilities on Jpmorgan Mid 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 Mid with a short position of Loomis Sayles. Check out your portfolio center. Please also check ongoing floating volatility patterns of Jpmorgan Mid and Loomis Sayles.
Diversification Opportunities for Jpmorgan Mid and Loomis Sayles
0.95 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Jpmorgan and Loomis is 0.95. Overlapping area represents the amount of risk that can be diversified away by holding Jpmorgan Mid Cap 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 Jpmorgan Mid 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 Mid Cap 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 Jpmorgan Mid i.e., Jpmorgan Mid and Loomis Sayles go up and down completely randomly.
Pair Corralation between Jpmorgan Mid and Loomis Sayles
Assuming the 90 days horizon Jpmorgan Mid is expected to generate 1.67 times less return on investment than Loomis Sayles. But when comparing it to its historical volatility, Jpmorgan Mid Cap is 1.18 times less risky than Loomis Sayles. It trades about 0.04 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 2,501 in Loomis Sayles Small on August 30, 2024 and sell it today you would earn a total of 738.00 from holding Loomis Sayles Small or generate 29.51% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Jpmorgan Mid Cap vs. Loomis Sayles Small
Performance |
Timeline |
Jpmorgan Mid Cap |
Loomis Sayles Small |
Jpmorgan Mid and Loomis Sayles Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Jpmorgan Mid and Loomis Sayles
The main advantage of trading using opposite Jpmorgan Mid and Loomis Sayles positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Jpmorgan Mid 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 Mid vs. Metropolitan West High | Jpmorgan Mid vs. Ab High Income | Jpmorgan Mid vs. Morningstar Aggressive Growth | Jpmorgan Mid vs. Multimanager Lifestyle Aggressive |
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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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