Correlation Between Grayscale Ethereum and FT Cboe

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

Diversification Opportunities for Grayscale Ethereum and FT Cboe

0.93
  Correlation Coefficient

Almost no diversification

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

Pair Corralation between Grayscale Ethereum and FT Cboe

Given the investment horizon of 90 days Grayscale Ethereum Trust is expected to generate 7.22 times more return on investment than FT Cboe. However, Grayscale Ethereum is 7.22 times more volatile than FT Cboe Vest. It trades about 0.01 of its potential returns per unit of risk. FT Cboe Vest is currently generating about 0.09 per unit of risk. If you would invest  3,060  in Grayscale Ethereum Trust on September 22, 2024 and sell it today you would lose (174.00) from holding Grayscale Ethereum Trust or give up 5.69% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthVery Strong
Accuracy100.0%
ValuesDaily Returns

Grayscale Ethereum Trust  vs.  FT Cboe Vest

 Performance 
       Timeline  
Grayscale Ethereum Trust 

Risk-Adjusted Performance

8 of 100

 
Weak
 
Strong
OK
Compared to the overall equity markets, risk-adjusted returns on investments in Grayscale Ethereum Trust are ranked lower than 8 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady technical indicators, Grayscale Ethereum exhibited solid returns over the last few months and may actually be approaching a breakup point.
FT Cboe Vest 

Risk-Adjusted Performance

11 of 100

 
Weak
 
Strong
Good
Compared to the overall equity markets, risk-adjusted returns on investments in FT Cboe Vest are ranked lower than 11 (%) of all global equities and portfolios over the last 90 days. Even with relatively invariable technical and fundamental indicators, FT Cboe is not utilizing all of its potentials. The latest stock price agitation, may contribute to short-term losses for the retail investors.

Grayscale Ethereum and FT Cboe Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Grayscale Ethereum and FT Cboe

The main advantage of trading using opposite Grayscale Ethereum and FT Cboe positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Grayscale Ethereum position performs unexpectedly, FT Cboe 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 FT Cboe will offset losses from the drop in FT Cboe's long position.
The idea behind Grayscale Ethereum Trust and FT Cboe Vest 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.
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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 .

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