Correlation Between Abrdn Bloomberg and GraniteShares Bloomberg

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

Diversification Opportunities for Abrdn Bloomberg and GraniteShares Bloomberg

1.0
  Correlation Coefficient

No risk reduction

The 3 months correlation between Abrdn and GraniteShares is 1.0. Overlapping area represents the amount of risk that can be diversified away by holding abrdn Bloomberg All and GraniteShares Bloomberg Commod in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on GraniteShares Bloomberg and Abrdn Bloomberg 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 abrdn Bloomberg All are associated (or correlated) with GraniteShares Bloomberg. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of GraniteShares Bloomberg has no effect on the direction of Abrdn Bloomberg i.e., Abrdn Bloomberg and GraniteShares Bloomberg go up and down completely randomly.

Pair Corralation between Abrdn Bloomberg and GraniteShares Bloomberg

Considering the 90-day investment horizon Abrdn Bloomberg is expected to generate 1.12 times less return on investment than GraniteShares Bloomberg. But when comparing it to its historical volatility, abrdn Bloomberg All is 1.11 times less risky than GraniteShares Bloomberg. It trades about 0.27 of its potential returns per unit of risk. GraniteShares Bloomberg Commodity is currently generating about 0.27 of returns per unit of risk over similar time horizon. If you would invest  1,990  in GraniteShares Bloomberg Commodity on January 20, 2024 and sell it today you would earn a total of  71.00  from holding GraniteShares Bloomberg Commodity or generate 3.57% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthVery Strong
Accuracy100.0%
ValuesDaily Returns

abrdn Bloomberg All  vs.  GraniteShares Bloomberg Commod

 Performance 
       Timeline  
abrdn Bloomberg All 

Risk-Adjusted Performance

19 of 100

 
Weak
 
Strong
Solid
Compared to the overall equity markets, risk-adjusted returns on investments in abrdn Bloomberg All are ranked lower than 19 (%) of all global equities and portfolios over the last 90 days. In spite of rather inconsistent fundamental indicators, Abrdn Bloomberg may actually be approaching a critical reversion point that can send shares even higher in May 2024.
GraniteShares Bloomberg 

Risk-Adjusted Performance

14 of 100

 
Weak
 
Strong
Good
Compared to the overall equity markets, risk-adjusted returns on investments in GraniteShares Bloomberg Commodity are ranked lower than 14 (%) of all global equities and portfolios over the last 90 days. Despite somewhat inconsistent primary indicators, GraniteShares Bloomberg may actually be approaching a critical reversion point that can send shares even higher in May 2024.

Abrdn Bloomberg and GraniteShares Bloomberg Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Abrdn Bloomberg and GraniteShares Bloomberg

The main advantage of trading using opposite Abrdn Bloomberg and GraniteShares Bloomberg positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Abrdn Bloomberg position performs unexpectedly, GraniteShares Bloomberg 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 GraniteShares Bloomberg will offset losses from the drop in GraniteShares Bloomberg's long position.
The idea behind abrdn Bloomberg All and GraniteShares Bloomberg Commodity 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 Idea Optimizer module to use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio .

Other Complementary Tools

Portfolio Suggestion
Get suggestions outside of your existing asset allocation including your own model portfolios
Pattern Recognition
Use different Pattern Recognition models to time the market across multiple global exchanges
Bollinger Bands
Use Bollinger Bands indicator to analyze target price for a given investing horizon
Earnings Calls
Check upcoming earnings announcements updated hourly across public exchanges
Headlines Timeline
Stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity