Correlation Between Bitcoin and Quant

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

Diversification Opportunities for Bitcoin and Quant

0.53
  Correlation Coefficient

Very weak diversification

The 3 months correlation between Bitcoin and Quant is 0.53. Overlapping area represents the amount of risk that can be diversified away by holding Bitcoin and Quant in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Quant 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 Quant. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Quant has no effect on the direction of Bitcoin i.e., Bitcoin and Quant go up and down completely randomly.

Pair Corralation between Bitcoin and Quant

Assuming the 90 days trading horizon Bitcoin is expected to generate 1.01 times less return on investment than Quant. But when comparing it to its historical volatility, Bitcoin is 1.82 times less risky than Quant. It trades about 0.24 of its potential returns per unit of risk. Quant is currently generating about 0.14 of returns per unit of risk over similar time horizon. If you would invest  6,241  in Quant on August 30, 2024 and sell it today you would earn a total of  3,296  from holding Quant or generate 52.81% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthWeak
Accuracy100.0%
ValuesDaily Returns

Bitcoin  vs.  Quant

 Performance 
       Timeline  
Bitcoin 

Risk-Adjusted Performance

19 of 100

 
Weak
 
Strong
Solid
Compared to the overall equity markets, risk-adjusted returns on investments in Bitcoin are ranked lower than 19 (%) 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.
Quant 

Risk-Adjusted Performance

10 of 100

 
Weak
 
Strong
OK
Compared to the overall equity markets, risk-adjusted returns on investments in Quant are ranked lower than 10 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady basic indicators, Quant exhibited solid returns over the last few months and may actually be approaching a breakup point.

Bitcoin and Quant Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Bitcoin and Quant

The main advantage of trading using opposite Bitcoin and Quant positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bitcoin position performs unexpectedly, Quant 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 Quant will offset losses from the drop in Quant's long position.
The idea behind Bitcoin and Quant 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 Fundamental Analysis module to view fundamental data based on most recent published financial statements.

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