Correlation Between Stacks and Bitcoin

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

Diversification Opportunities for Stacks and Bitcoin

0.74
  Correlation Coefficient

Poor diversification

The 3 months correlation between Stacks and Bitcoin is 0.74. Overlapping area represents the amount of risk that can be diversified away by holding Stacks and Bitcoin in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bitcoin and Stacks 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 Stacks are associated (or correlated) with Bitcoin. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bitcoin has no effect on the direction of Stacks i.e., Stacks and Bitcoin go up and down completely randomly.

Pair Corralation between Stacks and Bitcoin

Assuming the 90 days trading horizon Stacks is expected to under-perform the Bitcoin. In addition to that, Stacks is 2.42 times more volatile than Bitcoin. It trades about -0.2 of its total potential returns per unit of risk. Bitcoin is currently generating about -0.07 per unit of volatility. If you would invest  9,339,198  in Bitcoin on December 30, 2024 and sell it today you would lose (1,096,436) from holding Bitcoin or give up 11.74% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthSignificant
Accuracy100.0%
ValuesDaily Returns

Stacks  vs.  Bitcoin

 Performance 
       Timeline  
Stacks 

Risk-Adjusted Performance

Very Weak

 
Weak
 
Strong
Over the last 90 days Stacks 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 Stacks shareholders.
Bitcoin 

Risk-Adjusted Performance

Very Weak

 
Weak
 
Strong
Over the last 90 days Bitcoin has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of latest unsteady performance, the Crypto's fundamental indicators remain sound and the latest tumult on Wall Street may also be a sign of longer-term gains for Bitcoin shareholders.

Stacks and Bitcoin Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Stacks and Bitcoin

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

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