Correlation Between REDLANG and Curve DAO

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

Diversification Opportunities for REDLANG and Curve DAO

-0.1
  Correlation Coefficient

Good diversification

The 3 months correlation between REDLANG and Curve is -0.1. Overlapping area represents the amount of risk that can be diversified away by holding REDLANG and Curve DAO Token in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Curve DAO Token and REDLANG 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 REDLANG are associated (or correlated) with Curve DAO. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Curve DAO Token has no effect on the direction of REDLANG i.e., REDLANG and Curve DAO go up and down completely randomly.

Pair Corralation between REDLANG and Curve DAO

Assuming the 90 days trading horizon REDLANG is expected to under-perform the Curve DAO. In addition to that, REDLANG is 1.57 times more volatile than Curve DAO Token. It trades about -0.01 of its total potential returns per unit of risk. Curve DAO Token is currently generating about 0.01 per unit of volatility. If you would invest  78.00  in Curve DAO Token on January 30, 2025 and sell it today you would lose (7.00) from holding Curve DAO Token or give up 8.97% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionMoves Against 
StrengthInsignificant
Accuracy98.46%
ValuesDaily Returns

REDLANG  vs.  Curve DAO Token

 Performance 
       Timeline  
REDLANG 

Risk-Adjusted Performance

Very Weak

 
Weak
 
Strong
Over the last 90 days REDLANG has generated negative risk-adjusted returns adding no value to investors with long positions. Despite nearly stable essential indicators, REDLANG is not utilizing all of its potentials. The latest stock price disturbance, may contribute to mid-run losses for the stockholders.
Curve DAO Token 

Risk-Adjusted Performance

Very Weak

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

REDLANG and Curve DAO Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with REDLANG and Curve DAO

The main advantage of trading using opposite REDLANG and Curve DAO positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if REDLANG position performs unexpectedly, Curve DAO 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 Curve DAO will offset losses from the drop in Curve DAO's long position.
The idea behind REDLANG and Curve DAO Token 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 ETF Categories module to list of ETF categories grouped based on various criteria, such as the investment strategy or type of investments.

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