Correlation Between GRIN and DigiByte

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

Diversification Opportunities for GRIN and DigiByte

0.65
  Correlation Coefficient

Poor diversification

The 3 months correlation between GRIN and DigiByte is 0.65. Overlapping area represents the amount of risk that can be diversified away by holding GRIN and DigiByte in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on DigiByte and GRIN 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 GRIN are associated (or correlated) with DigiByte. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of DigiByte has no effect on the direction of GRIN i.e., GRIN and DigiByte go up and down completely randomly.

Pair Corralation between GRIN and DigiByte

Assuming the 90 days trading horizon GRIN is expected to generate 2.22 times less return on investment than DigiByte. But when comparing it to its historical volatility, GRIN is 1.18 times less risky than DigiByte. It trades about 0.09 of its potential returns per unit of risk. DigiByte is currently generating about 0.17 of returns per unit of risk over similar time horizon. If you would invest  0.64  in DigiByte on August 30, 2024 and sell it today you would earn a total of  0.47  from holding DigiByte or generate 73.3% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthSignificant
Accuracy100.0%
ValuesDaily Returns

GRIN  vs.  DigiByte

 Performance 
       Timeline  
GRIN 

Risk-Adjusted Performance

7 of 100

 
Weak
 
Strong
OK
Compared to the overall equity markets, risk-adjusted returns on investments in GRIN are ranked lower than 7 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady fundamental indicators, GRIN exhibited solid returns over the last few months and may actually be approaching a breakup point.
DigiByte 

Risk-Adjusted Performance

13 of 100

 
Weak
 
Strong
Good
Compared to the overall equity markets, risk-adjusted returns on investments in DigiByte are ranked lower than 13 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady fundamental drivers, DigiByte exhibited solid returns over the last few months and may actually be approaching a breakup point.

GRIN and DigiByte Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with GRIN and DigiByte

The main advantage of trading using opposite GRIN and DigiByte positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GRIN position performs unexpectedly, DigiByte 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 DigiByte will offset losses from the drop in DigiByte's long position.
The idea behind GRIN and DigiByte 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 AI Portfolio Architect module to use AI to generate optimal portfolios and find profitable investment opportunities.

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