Correlation Between Kaspa and PING

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

Diversification Opportunities for Kaspa and PING

-0.46
  Correlation Coefficient

Very good diversification

The 3 months correlation between Kaspa and PING is -0.46. Overlapping area represents the amount of risk that can be diversified away by holding Kaspa and PING in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on PING 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 PING. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of PING has no effect on the direction of Kaspa i.e., Kaspa and PING go up and down completely randomly.

Pair Corralation between Kaspa and PING

Assuming the 90 days trading horizon Kaspa is expected to generate 2.82 times more return on investment than PING. However, Kaspa is 2.82 times more volatile than PING. It trades about 0.05 of its potential returns per unit of risk. PING is currently generating about 0.13 per unit of risk. If you would invest  13.00  in Kaspa on August 26, 2024 and sell it today you would earn a total of  2.00  from holding Kaspa or generate 15.38% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Against 
StrengthVery Weak
Accuracy81.33%
ValuesDaily Returns

Kaspa  vs.  PING

 Performance 
       Timeline  
Kaspa 

Risk-Adjusted Performance

2 of 100

 
Weak
 
Strong
Weak
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 exhibited solid returns over the last few months and may actually be approaching a breakup point.
PING 

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
Very Weak
Over the last 90 days PING has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of rather sound fundamental indicators, PING is not utilizing all of its potentials. The latest stock price tumult, may contribute to shorter-term losses for the shareholders.

Kaspa and PING Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Kaspa and PING

The main advantage of trading using opposite Kaspa and PING positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Kaspa position performs unexpectedly, PING 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 PING will offset losses from the drop in PING's long position.
The idea behind Kaspa and PING 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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.

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