Correlation Between EA Series and JPMorgan Fundamental
Can any of the company-specific risk be diversified away by investing in both EA Series and JPMorgan Fundamental 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 EA Series and JPMorgan Fundamental into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between EA Series Trust and JPMorgan Fundamental Data, you can compare the effects of market volatilities on EA Series and JPMorgan Fundamental 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 EA Series with a short position of JPMorgan Fundamental. Check out your portfolio center. Please also check ongoing floating volatility patterns of EA Series and JPMorgan Fundamental.
Diversification Opportunities for EA Series and JPMorgan Fundamental
-0.41 | Correlation Coefficient |
Very good diversification
The 3 months correlation between MDLV and JPMorgan is -0.41. Overlapping area represents the amount of risk that can be diversified away by holding EA Series Trust and JPMorgan Fundamental Data in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on JPMorgan Fundamental Data and EA Series 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 EA Series Trust are associated (or correlated) with JPMorgan Fundamental. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of JPMorgan Fundamental Data has no effect on the direction of EA Series i.e., EA Series and JPMorgan Fundamental go up and down completely randomly.
Pair Corralation between EA Series and JPMorgan Fundamental
Given the investment horizon of 90 days EA Series Trust is expected to generate 0.69 times more return on investment than JPMorgan Fundamental. However, EA Series Trust is 1.45 times less risky than JPMorgan Fundamental. It trades about 0.15 of its potential returns per unit of risk. JPMorgan Fundamental Data is currently generating about -0.06 per unit of risk. If you would invest 2,567 in EA Series Trust on December 28, 2024 and sell it today you would earn a total of 160.00 from holding EA Series Trust or generate 6.23% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
EA Series Trust vs. JPMorgan Fundamental Data
Performance |
Timeline |
EA Series Trust |
JPMorgan Fundamental Data |
EA Series and JPMorgan Fundamental Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with EA Series and JPMorgan Fundamental
The main advantage of trading using opposite EA Series and JPMorgan Fundamental positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if EA Series position performs unexpectedly, JPMorgan Fundamental 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 JPMorgan Fundamental will offset losses from the drop in JPMorgan Fundamental's long position.EA Series vs. FT Vest Equity | EA Series vs. Northern Lights | EA Series vs. Dimensional International High | EA Series vs. First Trust Exchange Traded |
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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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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