Correlation Between KwikClick and Appswarm

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

Diversification Opportunities for KwikClick and Appswarm

-0.02
  Correlation Coefficient

Good diversification

The 3 months correlation between KwikClick and Appswarm is -0.02. Overlapping area represents the amount of risk that can be diversified away by holding KwikClick and Appswarm in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Appswarm and KwikClick 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 KwikClick are associated (or correlated) with Appswarm. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Appswarm has no effect on the direction of KwikClick i.e., KwikClick and Appswarm go up and down completely randomly.

Pair Corralation between KwikClick and Appswarm

Given the investment horizon of 90 days KwikClick is expected to generate 9.69 times less return on investment than Appswarm. But when comparing it to its historical volatility, KwikClick is 1.03 times less risky than Appswarm. It trades about 0.01 of its potential returns per unit of risk. Appswarm is currently generating about 0.07 of returns per unit of risk over similar time horizon. If you would invest  0.03  in Appswarm on September 10, 2024 and sell it today you would earn a total of  0.00  from holding Appswarm or generate 0.0% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Against 
StrengthInsignificant
Accuracy100.0%
ValuesDaily Returns

KwikClick  vs.  Appswarm

 Performance 
       Timeline  
KwikClick 

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
Very Weak
Over the last 90 days KwikClick has generated negative risk-adjusted returns adding no value to investors with long positions. Despite quite weak forward indicators, KwikClick may actually be approaching a critical reversion point that can send shares even higher in January 2025.
Appswarm 

Risk-Adjusted Performance

5 of 100

 
Weak
 
Strong
OK
Compared to the overall equity markets, risk-adjusted returns on investments in Appswarm are ranked lower than 5 (%) of all global equities and portfolios over the last 90 days. In spite of very conflicting basic indicators, Appswarm displayed solid returns over the last few months and may actually be approaching a breakup point.

KwikClick and Appswarm Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with KwikClick and Appswarm

The main advantage of trading using opposite KwikClick and Appswarm positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if KwikClick position performs unexpectedly, Appswarm 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 Appswarm will offset losses from the drop in Appswarm's long position.
The idea behind KwikClick and Appswarm 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 Bond Analysis module to evaluate and analyze corporate bonds as a potential investment for your portfolios..

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