Correlation Between Cosmos and Quant

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

Diversification Opportunities for Cosmos and Quant

0.86
  Correlation Coefficient

Very poor diversification

The 3 months correlation between Cosmos and Quant is 0.86. Overlapping area represents the amount of risk that can be diversified away by holding Cosmos and Quant in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Quant and Cosmos 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 Cosmos 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 Cosmos i.e., Cosmos and Quant go up and down completely randomly.

Pair Corralation between Cosmos and Quant

Assuming the 90 days trading horizon Cosmos is expected to under-perform the Quant. In addition to that, Cosmos is 1.08 times more volatile than Quant. It trades about -0.35 of its total potential returns per unit of risk. Quant is currently generating about -0.22 per unit of volatility. If you would invest  13,647  in Quant on January 26, 2024 and sell it today you would lose (2,862) from holding Quant or give up 20.97% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthStrong
Accuracy100.0%
ValuesDaily Returns

Cosmos  vs.  Quant

 Performance 
       Timeline  
Cosmos 

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
Very Weak
Over the last 90 days Cosmos has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of latest weak performance, the Crypto's basic indicators remain sound and the latest tumult on Wall Street may also be a sign of longer-term gains for Cosmos shareholders.
Quant 

Risk-Adjusted Performance

1 of 100

 
Weak
 
Strong
Weak
Compared to the overall equity markets, risk-adjusted returns on investments in Quant are ranked lower than 1 (%) of all global equities and portfolios over the last 90 days. In spite of rather sound basic indicators, Quant is not utilizing all of its potentials. The current stock price tumult, may contribute to shorter-term losses for the shareholders.

Cosmos and Quant Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Cosmos and Quant

The main advantage of trading using opposite Cosmos and Quant positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Cosmos 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 Cosmos 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.
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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 Sign In To Macroaxis module to sign in to explore Macroaxis' wealth optimization platform and fintech modules.

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