Correlation Between CAPP and KARRAT

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

Diversification Opportunities for CAPP and KARRAT

-0.04
  Correlation Coefficient

Good diversification

The 3 months correlation between CAPP and KARRAT is -0.04. Overlapping area represents the amount of risk that can be diversified away by holding CAPP and KARRAT in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on KARRAT and CAPP 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 CAPP are associated (or correlated) with KARRAT. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of KARRAT has no effect on the direction of CAPP i.e., CAPP and KARRAT go up and down completely randomly.

Pair Corralation between CAPP and KARRAT

Assuming the 90 days trading horizon CAPP is expected to generate 4.9 times less return on investment than KARRAT. But when comparing it to its historical volatility, CAPP is 2.38 times less risky than KARRAT. It trades about 0.05 of its potential returns per unit of risk. KARRAT is currently generating about 0.1 of returns per unit of risk over similar time horizon. If you would invest  31.00  in KARRAT on September 1, 2024 and sell it today you would earn a total of  18.00  from holding KARRAT or generate 58.06% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Against 
StrengthInsignificant
Accuracy100.0%
ValuesDaily Returns

CAPP  vs.  KARRAT

 Performance 
       Timeline  
CAPP 

Risk-Adjusted Performance

3 of 100

 
Weak
 
Strong
Insignificant
Compared to the overall equity markets, risk-adjusted returns on investments in CAPP are ranked lower than 3 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady fundamental indicators, CAPP exhibited solid returns over the last few months and may actually be approaching a breakup point.
KARRAT 

Risk-Adjusted Performance

7 of 100

 
Weak
 
Strong
OK
Compared to the overall equity markets, risk-adjusted returns on investments in KARRAT are ranked lower than 7 (%) of all global equities and portfolios over the last 90 days. Despite somewhat unsteady basic indicators, KARRAT sustained solid returns over the last few months and may actually be approaching a breakup point.

CAPP and KARRAT Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with CAPP and KARRAT

The main advantage of trading using opposite CAPP and KARRAT positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if CAPP position performs unexpectedly, KARRAT 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 KARRAT will offset losses from the drop in KARRAT's long position.
The idea behind CAPP and KARRAT 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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.

Other Complementary Tools

Commodity Channel
Use Commodity Channel Index to analyze current equity momentum
Theme Ratings
Determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance
Idea Optimizer
Use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio
FinTech Suite
Use AI to screen and filter profitable investment opportunities
Premium Stories
Follow Macroaxis premium stories from verified contributors across different equity types, categories and coverage scope