Correlation Between Bitcoin and Everest

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

Diversification Opportunities for Bitcoin and Everest

0.0
  Correlation Coefficient

Pay attention - limited upside

The 3 months correlation between Bitcoin and Everest is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding Bitcoin and Everest Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Everest Group and Bitcoin 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 Bitcoin are associated (or correlated) with Everest. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Everest Group has no effect on the direction of Bitcoin i.e., Bitcoin and Everest go up and down completely randomly.

Pair Corralation between Bitcoin and Everest

Assuming the 90 days trading horizon Bitcoin is expected to generate 4.83 times more return on investment than Everest. However, Bitcoin is 4.83 times more volatile than Everest Group. It trades about 0.08 of its potential returns per unit of risk. Everest Group is currently generating about 0.03 per unit of risk. If you would invest  2,278,992  in Bitcoin on October 11, 2024 and sell it today you would earn a total of  7,222,002  from holding Bitcoin or generate 316.89% return on investment over 90 days.
Time Period3 Months [change]
DirectionFlat 
StrengthInsignificant
Accuracy59.4%
ValuesDaily Returns

Bitcoin  vs.  Everest Group

 Performance 
       Timeline  
Bitcoin 

Risk-Adjusted Performance

16 of 100

 
Weak
 
Strong
Solid
Compared to the overall equity markets, risk-adjusted returns on investments in Bitcoin are ranked lower than 16 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady fundamental indicators, Bitcoin exhibited solid returns over the last few months and may actually be approaching a breakup point.
Everest Group 

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
Very Weak
Over the last 90 days Everest Group has generated negative risk-adjusted returns adding no value to investors with long positions. Despite nearly stable basic indicators, Everest is not utilizing all of its potentials. The current stock price disturbance, may contribute to mid-run losses for the stockholders.

Bitcoin and Everest Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Bitcoin and Everest

The main advantage of trading using opposite Bitcoin and Everest positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bitcoin position performs unexpectedly, Everest 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 Everest will offset losses from the drop in Everest's long position.
The idea behind Bitcoin and Everest Group 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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.

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