Correlation Between JPMorgan Fundamental and Dimensional ETF

Can any of the company-specific risk be diversified away by investing in both JPMorgan Fundamental and Dimensional ETF 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 Dimensional ETF 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 Dimensional ETF Trust, you can compare the effects of market volatilities on JPMorgan Fundamental and Dimensional ETF 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 Dimensional ETF. Check out your portfolio center. Please also check ongoing floating volatility patterns of JPMorgan Fundamental and Dimensional ETF.

Diversification Opportunities for JPMorgan Fundamental and Dimensional ETF

-0.66

Correlation Coefficient

JPMorgan Fundamental  Dimensional ETF

Excellent diversification

The 3 months correlation between JPMorgan and Dimensional is -0.66. Overlapping area represents the amount of risk that can be diversified away by holding JPMorgan Fundamental Data and Dimensional ETF Trust in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dimensional ETF 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 Dimensional ETF. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dimensional ETF Trust has no effect on the direction of JPMorgan Fundamental i.e., JPMorgan Fundamental and Dimensional ETF go up and down completely randomly.

Pair Corralation between JPMorgan Fundamental and Dimensional ETF

Given the investment horizon of 90 days JPMorgan Fundamental Data is expected to under-perform the Dimensional ETF. In addition to that, JPMorgan Fundamental is 1.14 times more volatile than Dimensional ETF Trust. It trades about -0.09 of its total potential returns per unit of risk. Dimensional ETF Trust is currently generating about 0.2 per unit of volatility. If you would invest  2,652  in Dimensional ETF Trust on December 30, 2024 and sell it today you would earn a total of  299.00  from holding Dimensional ETF Trust or generate 11.27% return on investment over 90 days.

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

JPMorgan Fundamental Data  vs.  Dimensional ETF Trust

JPMorgan Fundamental Data

Risk-Adjusted Performance

Very Weak

Over the last 90 days JPMorgan Fundamental Data has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of comparatively stable fundamental indicators, JPMorgan Fundamental is not utilizing all of its potentials. The recent stock price uproar, may contribute to short-horizon losses for the private investors.

Dimensional ETF Trust

Risk-Adjusted Performance

Good

Compared to the overall equity markets, risk-adjusted returns on investments in Dimensional ETF Trust are ranked lower than 15 (%) of all global equities and portfolios over the last 90 days. In spite of fairly abnormal basic indicators, Dimensional ETF may actually be approaching a critical reversion point that can send shares even higher in April 2025.

Pair Trading with JPMorgan Fundamental and Dimensional ETF

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

The idea behind JPMorgan Fundamental Data and Dimensional ETF 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 Commodity Channel module to use Commodity Channel Index to analyze current equity momentum.