Correlation Between Quant and Solana

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

Diversification Opportunities for Quant and Solana

0.78
  Correlation Coefficient

Poor diversification

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

Pair Corralation between Quant and Solana

Assuming the 90 days trading horizon Quant is expected to under-perform the Solana. But the crypto coin apears to be less risky and, when comparing its historical volatility, Quant is 1.24 times less risky than Solana. The crypto coin trades about -0.12 of its potential returns per unit of risk. The Solana is currently generating about -0.08 of returns per unit of risk over similar time horizon. If you would invest  18,887  in Solana on December 30, 2024 and sell it today you would lose (6,508) from holding Solana or give up 34.46% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthSignificant
Accuracy100.0%
ValuesDaily Returns

Quant  vs.  Solana

 Performance 
       Timeline  
Quant 

Risk-Adjusted Performance

Very Weak

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

Risk-Adjusted Performance

Very Weak

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

Quant and Solana Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Quant and Solana

The main advantage of trading using opposite Quant and Solana positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Quant position performs unexpectedly, Solana 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 Solana will offset losses from the drop in Solana's long position.
The idea behind Quant and Solana 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 Instant Ratings module to determine any equity ratings based on digital recommendations. Macroaxis instant equity ratings are based on combination of fundamental analysis and risk-adjusted market performance.

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