Correlation Between JPMorgan BetaBuilders and SPDR Portfolio

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

Diversification Opportunities for JPMorgan BetaBuilders and SPDR Portfolio

0.93
  Correlation Coefficient

Almost no diversification

The 3 months correlation between JPMorgan and SPDR is 0.93. Overlapping area represents the amount of risk that can be diversified away by holding JPMorgan BetaBuilders Europe and SPDR Portfolio Europe in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SPDR Portfolio Europe and JPMorgan BetaBuilders 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 BetaBuilders Europe are associated (or correlated) with SPDR Portfolio. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SPDR Portfolio Europe has no effect on the direction of JPMorgan BetaBuilders i.e., JPMorgan BetaBuilders and SPDR Portfolio go up and down completely randomly.

Pair Corralation between JPMorgan BetaBuilders and SPDR Portfolio

Given the investment horizon of 90 days JPMorgan BetaBuilders Europe is expected to generate 1.0 times more return on investment than SPDR Portfolio. However, JPMorgan BetaBuilders Europe is 1.0 times less risky than SPDR Portfolio. It trades about 0.05 of its potential returns per unit of risk. SPDR Portfolio Europe is currently generating about 0.05 per unit of risk. If you would invest  5,614  in JPMorgan BetaBuilders Europe on November 3, 2024 and sell it today you would earn a total of  290.00  from holding JPMorgan BetaBuilders Europe or generate 5.17% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthVery Strong
Accuracy100.0%
ValuesDaily Returns

JPMorgan BetaBuilders Europe  vs.  SPDR Portfolio Europe

 Performance 
       Timeline  
JPMorgan BetaBuilders 

Risk-Adjusted Performance

1 of 100

 
Weak
 
Strong
Weak
Compared to the overall equity markets, risk-adjusted returns on investments in JPMorgan BetaBuilders Europe are ranked lower than 1 (%) of all global equities and portfolios over the last 90 days. In spite of comparatively stable technical and fundamental indicators, JPMorgan BetaBuilders is not utilizing all of its potentials. The latest stock price uproar, may contribute to short-horizon losses for the private investors.
SPDR Portfolio Europe 

Risk-Adjusted Performance

1 of 100

 
Weak
 
Strong
Weak
Compared to the overall equity markets, risk-adjusted returns on investments in SPDR Portfolio Europe are ranked lower than 1 (%) of all global equities and portfolios over the last 90 days. In spite of comparatively stable technical and fundamental indicators, SPDR Portfolio is not utilizing all of its potentials. The latest stock price uproar, may contribute to short-horizon losses for the private investors.

JPMorgan BetaBuilders and SPDR Portfolio Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with JPMorgan BetaBuilders and SPDR Portfolio

The main advantage of trading using opposite JPMorgan BetaBuilders and SPDR Portfolio positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if JPMorgan BetaBuilders position performs unexpectedly, SPDR Portfolio 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 SPDR Portfolio will offset losses from the drop in SPDR Portfolio's long position.
The idea behind JPMorgan BetaBuilders Europe and SPDR Portfolio Europe 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 Positions Ratings module to determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance.

Other Complementary Tools

Global Correlations
Find global opportunities by holding instruments from different markets
ETFs
Find actively traded Exchange Traded Funds (ETF) from around the world
FinTech Suite
Use AI to screen and filter profitable investment opportunities
Stock Tickers
Use high-impact, comprehensive, and customizable stock tickers that can be easily integrated to any websites
Equity Forecasting
Use basic forecasting models to generate price predictions and determine price momentum