Correlation Between Bitcoin SV and Aelf

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

Diversification Opportunities for Bitcoin SV and Aelf

0.78
  Correlation Coefficient

Poor diversification

The 3 months correlation between Bitcoin and Aelf is 0.78. Overlapping area represents the amount of risk that can be diversified away by holding Bitcoin SV and aelf in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on aelf and Bitcoin SV 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 SV are associated (or correlated) with Aelf. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of aelf has no effect on the direction of Bitcoin SV i.e., Bitcoin SV and Aelf go up and down completely randomly.

Pair Corralation between Bitcoin SV and Aelf

Assuming the 90 days trading horizon Bitcoin SV is expected to under-perform the Aelf. In addition to that, Bitcoin SV is 1.35 times more volatile than aelf. It trades about -0.15 of its total potential returns per unit of risk. aelf is currently generating about -0.07 per unit of volatility. If you would invest  64.00  in aelf on January 26, 2024 and sell it today you would lose (6.00) from holding aelf or give up 9.38% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthSignificant
Accuracy100.0%
ValuesDaily Returns

Bitcoin SV  vs.  aelf

 Performance 
       Timeline  
Bitcoin SV 

Risk-Adjusted Performance

2 of 100

 
Weak
 
Strong
Weak
Compared to the overall equity markets, risk-adjusted returns on investments in Bitcoin SV are ranked lower than 2 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady basic indicators, Bitcoin SV may actually be approaching a critical reversion point that can send shares even higher in May 2024.
aelf 

Risk-Adjusted Performance

0 of 100

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

Bitcoin SV and Aelf Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Bitcoin SV and Aelf

The main advantage of trading using opposite Bitcoin SV and Aelf positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bitcoin SV position performs unexpectedly, Aelf 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 Aelf will offset losses from the drop in Aelf's long position.
The idea behind Bitcoin SV and aelf 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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.

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