Correlation Between MicroSectors FANG and JPMorgan

Specify exactly 2 symbols:
Can any of the company-specific risk be diversified away by investing in both MicroSectors FANG and JPMorgan 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 MicroSectors FANG and JPMorgan into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between MicroSectors FANG Index and JPMorgan, you can compare the effects of market volatilities on MicroSectors FANG and JPMorgan 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 MicroSectors FANG with a short position of JPMorgan. Check out your portfolio center. Please also check ongoing floating volatility patterns of MicroSectors FANG and JPMorgan.

Diversification Opportunities for MicroSectors FANG and JPMorgan

-0.84
  Correlation Coefficient

Pay attention - limited upside

The 3 months correlation between MicroSectors and JPMorgan is -0.84. Overlapping area represents the amount of risk that can be diversified away by holding MicroSectors FANG Index and JPMorgan in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on JPMorgan and MicroSectors FANG 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 MicroSectors FANG Index are associated (or correlated) with JPMorgan. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of JPMorgan has no effect on the direction of MicroSectors FANG i.e., MicroSectors FANG and JPMorgan go up and down completely randomly.

Pair Corralation between MicroSectors FANG and JPMorgan

If you would invest  4,877  in JPMorgan on March 20, 2025 and sell it today you would earn a total of  0.00  from holding JPMorgan or generate 0.0% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Against 
StrengthSignificant
Accuracy4.76%
ValuesDaily Returns

MicroSectors FANG Index  vs.  JPMorgan

 Performance 
       Timeline  
MicroSectors FANG Index 

Risk-Adjusted Performance

Very Weak

 
Weak
 
Strong
Over the last 90 days MicroSectors FANG Index has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of uncertain performance in the last few months, the Etf's technical and fundamental indicators remain rather sound which may send shares a bit higher in July 2025. The latest tumult may also be a sign of longer-term up-swing for the fund shareholders.
JPMorgan 

Risk-Adjusted Performance

Strong

 
Weak
 
Strong
Over the last 90 days JPMorgan has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of rather sound essential indicators, JPMorgan is not utilizing all of its potentials. The current stock price tumult, may contribute to shorter-term losses for the shareholders.

MicroSectors FANG and JPMorgan Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with MicroSectors FANG and JPMorgan

The main advantage of trading using opposite MicroSectors FANG and JPMorgan positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if MicroSectors FANG position performs unexpectedly, JPMorgan 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 will offset losses from the drop in JPMorgan's long position.
The idea behind MicroSectors FANG Index and JPMorgan 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.
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 Piotroski F Score module to get Piotroski F Score based on the binary analysis strategy of nine different fundamentals.

Other Complementary Tools

Aroon Oscillator
Analyze current equity momentum using Aroon Oscillator and other momentum ratios
Pair Correlation
Compare performance and examine fundamental relationship between any two equity instruments
Instant Ratings
Determine any equity ratings based on digital recommendations. Macroaxis instant equity ratings are based on combination of fundamental analysis and risk-adjusted market performance
Watchlist Optimization
Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm
Portfolio Suggestion
Get suggestions outside of your existing asset allocation including your own model portfolios