Correlation Between Kaspa and CVP

Specify exactly 2 symbols:
Can any of the company-specific risk be diversified away by investing in both Kaspa and CVP 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 Kaspa and CVP into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Kaspa and CVP, you can compare the effects of market volatilities on Kaspa and CVP 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 Kaspa with a short position of CVP. Check out your portfolio center. Please also check ongoing floating volatility patterns of Kaspa and CVP.

Diversification Opportunities for Kaspa and CVP

-0.75
  Correlation Coefficient

Pay attention - limited upside

The 3 months correlation between Kaspa and CVP is -0.75. Overlapping area represents the amount of risk that can be diversified away by holding Kaspa and CVP in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on CVP and Kaspa 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 Kaspa are associated (or correlated) with CVP. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of CVP has no effect on the direction of Kaspa i.e., Kaspa and CVP go up and down completely randomly.

Pair Corralation between Kaspa and CVP

Assuming the 90 days trading horizon Kaspa is expected to generate 147.15 times less return on investment than CVP. But when comparing it to its historical volatility, Kaspa is 25.33 times less risky than CVP. It trades about 0.03 of its potential returns per unit of risk. CVP is currently generating about 0.15 of returns per unit of risk over similar time horizon. If you would invest  1.61  in CVP on April 22, 2025 and sell it today you would earn a total of  109.39  from holding CVP or generate 6794.41% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Against 
StrengthWeak
Accuracy100.0%
ValuesDaily Returns

Kaspa  vs.  CVP

 Performance 
       Timeline  
Kaspa 

Risk-Adjusted Performance

Weak

 
Weak
 
Strong
Compared to the overall equity markets, risk-adjusted returns on investments in Kaspa are ranked lower than 2 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady basic indicators, Kaspa may actually be approaching a critical reversion point that can send shares even higher in August 2025.
CVP 

Risk-Adjusted Performance

Good

 
Weak
 
Strong
Compared to the overall equity markets, risk-adjusted returns on investments in CVP are ranked lower than 11 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady basic indicators, CVP exhibited solid returns over the last few months and may actually be approaching a breakup point.

Kaspa and CVP Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Kaspa and CVP

The main advantage of trading using opposite Kaspa and CVP positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Kaspa position performs unexpectedly, CVP 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 CVP will offset losses from the drop in CVP's long position.
The idea behind Kaspa and CVP 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 Portfolio Analyzer module to portfolio analysis module that provides access to portfolio diagnostics and optimization engine.

Other Complementary Tools

Performance Analysis
Check effects of mean-variance optimization against your current asset allocation
Sign In To Macroaxis
Sign in to explore Macroaxis' wealth optimization platform and fintech modules
USA ETFs
Find actively traded Exchange Traded Funds (ETF) in USA
Portfolio Dashboard
Portfolio dashboard that provides centralized access to all your investments
Bollinger Bands
Use Bollinger Bands indicator to analyze target price for a given investing horizon