Correlation Between JPMorgan Fundamental and EA Series

Can any of the company-specific risk be diversified away by investing in both JPMorgan Fundamental and EA Series 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 Fundamental and EA Series into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between JPMorgan Fundamental Data and EA Series Trust, you can compare the effects of market volatilities on JPMorgan Fundamental and EA Series 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 Fundamental with a short position of EA Series. Check out your portfolio center. Please also check ongoing floating volatility patterns of JPMorgan Fundamental and EA Series.

Diversification Opportunities for JPMorgan Fundamental and EA Series

0.19

Correlation Coefficient

JPMorgan Fundamental  EA Series

Average diversification

The 3 months correlation between JPMorgan and MDLV is 0.19. Overlapping area represents the amount of risk that can be diversified away by holding JPMorgan Fundamental Data and EA Series Trust in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on EA Series Trust and JPMorgan Fundamental 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 Fundamental Data are associated (or correlated) with EA Series. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of EA Series Trust has no effect on the direction of JPMorgan Fundamental i.e., JPMorgan Fundamental and EA Series go up and down completely randomly.

Pair Corralation between JPMorgan Fundamental and EA Series

Given the investment horizon of 90 days JPMorgan Fundamental Data is expected to generate 1.27 times more return on investment than EA Series. However, JPMorgan Fundamental is 1.27 times more volatile than EA Series Trust. It trades about 0.24 of its potential returns per unit of risk. EA Series Trust is currently generating about 0.0 per unit of risk. If you would invest  5,322  in JPMorgan Fundamental Data on September 12, 2024 and sell it today you would earn a total of  561.00  from holding JPMorgan Fundamental Data or generate 10.54% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Insignificant
Accuracy	100.0%
Values	Daily Returns

JPMorgan Fundamental Data  vs.  EA Series Trust

JPMorgan Fundamental Data

Risk-Adjusted Performance

19 of 100

Solid

Compared to the overall equity markets, risk-adjusted returns on investments in JPMorgan Fundamental Data are ranked lower than 19 (%) of all global equities and portfolios over the last 90 days. In spite of comparatively fragile fundamental indicators, JPMorgan Fundamental may actually be approaching a critical reversion point that can send shares even higher in January 2025.

EA Series Trust

Risk-Adjusted Performance

0 of 100

Weak

Over the last 90 days EA Series Trust has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of fairly stable essential indicators, EA Series is not utilizing all of its potentials. The latest stock price fuss, may contribute to near-short-term losses for the sophisticated investors.

Pair Trading with JPMorgan Fundamental and EA Series

The main advantage of trading using opposite JPMorgan Fundamental and EA Series positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if JPMorgan Fundamental position performs unexpectedly, EA Series 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 EA Series will offset losses from the drop in EA Series' long position.

The idea behind JPMorgan Fundamental Data and EA Series Trust pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.

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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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.