Correlation Between Bitcoin SV and Maker

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

Diversification Opportunities for Bitcoin SV and Maker

0.42
  Correlation Coefficient

Very weak diversification

The 3 months correlation between Bitcoin and Maker is 0.42. Overlapping area represents the amount of risk that can be diversified away by holding Bitcoin SV and Maker in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Maker 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 Maker. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Maker has no effect on the direction of Bitcoin SV i.e., Bitcoin SV and Maker go up and down completely randomly.

Pair Corralation between Bitcoin SV and Maker

Assuming the 90 days trading horizon Bitcoin SV is expected to generate 0.92 times more return on investment than Maker. However, Bitcoin SV is 1.09 times less risky than Maker. It trades about 0.18 of its potential returns per unit of risk. Maker is currently generating about 0.06 per unit of risk. If you would invest  4,529  in Bitcoin SV on September 3, 2024 and sell it today you would earn a total of  2,639  from holding Bitcoin SV or generate 58.27% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthWeak
Accuracy100.0%
ValuesDaily Returns

Bitcoin SV  vs.  Maker

 Performance 
       Timeline  
Bitcoin SV 

Risk-Adjusted Performance

14 of 100

 
Weak
 
Strong
Good
Compared to the overall equity markets, risk-adjusted returns on investments in Bitcoin SV are ranked lower than 14 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady basic indicators, Bitcoin SV exhibited solid returns over the last few months and may actually be approaching a breakup point.
Maker 

Risk-Adjusted Performance

4 of 100

 
Weak
 
Strong
Insignificant
Compared to the overall equity markets, risk-adjusted returns on investments in Maker are ranked lower than 4 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady basic indicators, Maker exhibited solid returns over the last few months and may actually be approaching a breakup point.

Bitcoin SV and Maker Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Bitcoin SV and Maker

The main advantage of trading using opposite Bitcoin SV and Maker positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bitcoin SV position performs unexpectedly, Maker 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 Maker will offset losses from the drop in Maker's long position.
The idea behind Bitcoin SV and Maker 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 Premium Stories module to follow Macroaxis premium stories from verified contributors across different equity types, categories and coverage scope.

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