Correlation Between DATA and BounceBit

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

Diversification Opportunities for DATA and BounceBit

0.93
  Correlation Coefficient

Almost no diversification

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

Pair Corralation between DATA and BounceBit

Assuming the 90 days trading horizon DATA is expected to generate 0.8 times more return on investment than BounceBit. However, DATA is 1.25 times less risky than BounceBit. It trades about -0.5 of its potential returns per unit of risk. BounceBit is currently generating about -0.41 per unit of risk. If you would invest  4.60  in DATA on November 8, 2024 and sell it today you would lose (2.26) from holding DATA or give up 49.13% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthVery Strong
Accuracy100.0%
ValuesDaily Returns

DATA  vs.  BounceBit

 Performance 
       Timeline  
DATA 

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
Very Weak
Over the last 90 days DATA 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 fundamental indicators remain rather sound which may send shares a bit higher in March 2025. The latest tumult may also be a sign of longer-term up-swing for DATA shareholders.
BounceBit 

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
Very Weak
Over the last 90 days BounceBit 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 fundamental indicators remain rather sound which may send shares a bit higher in March 2025. The latest tumult may also be a sign of longer-term up-swing for BounceBit shareholders.

DATA and BounceBit Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with DATA and BounceBit

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