Correlation Between Maker and Graph

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

Diversification Opportunities for Maker and Graph

0.25
  Correlation Coefficient

Modest diversification

The 3 months correlation between Maker and Graph is 0.25. Overlapping area represents the amount of risk that can be diversified away by holding Maker and The Graph in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Graph and Maker 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 Maker are associated (or correlated) with Graph. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Graph has no effect on the direction of Maker i.e., Maker and Graph go up and down completely randomly.

Pair Corralation between Maker and Graph

Assuming the 90 days trading horizon Maker is expected to generate 1.01 times more return on investment than Graph. However, Maker is 1.01 times more volatile than The Graph. It trades about 0.0 of its potential returns per unit of risk. The Graph is currently generating about -0.17 per unit of risk. If you would invest  149,147  in Maker on December 29, 2024 and sell it today you would lose (20,078) from holding Maker or give up 13.46% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthVery Weak
Accuracy100.0%
ValuesDaily Returns

Maker  vs.  The Graph

 Performance 
       Timeline  
Maker 

Risk-Adjusted Performance

Weak

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

Risk-Adjusted Performance

Very Weak

 
Weak
 
Strong
Over the last 90 days The Graph has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of unsteady performance in the last few months, the Crypto's basic indicators remain rather sound which may send shares a bit higher in April 2025. The latest tumult may also be a sign of longer-term up-swing for The Graph shareholders.

Maker and Graph Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Maker and Graph

The main advantage of trading using opposite Maker and Graph positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Maker position performs unexpectedly, Graph 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 Graph will offset losses from the drop in Graph's long position.
The idea behind Maker and The Graph 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 Earnings Calls module to check upcoming earnings announcements updated hourly across public exchanges.

Other Complementary Tools

FinTech Suite
Use AI to screen and filter profitable investment opportunities
Stocks Directory
Find actively traded stocks across global markets
Piotroski F Score
Get Piotroski F Score based on the binary analysis strategy of nine different fundamentals
Commodity Channel
Use Commodity Channel Index to analyze current equity momentum
Sectors
List of equity sectors categorizing publicly traded companies based on their primary business activities