Correlation Between IPath Series and QQQN

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

Diversification Opportunities for IPath Series and QQQN

0.0
  Correlation Coefficient

Pay attention - limited upside

The 3 months correlation between IPath and QQQN is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding iPath Series B and QQQN in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on QQQN and IPath Series 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 iPath Series B are associated (or correlated) with QQQN. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of QQQN has no effect on the direction of IPath Series i.e., IPath Series and QQQN go up and down completely randomly.

Pair Corralation between IPath Series and QQQN

If you would invest  4,553  in iPath Series B on December 29, 2024 and sell it today you would earn a total of  589.00  from holding iPath Series B or generate 12.94% return on investment over 90 days.
Time Period3 Months [change]
DirectionFlat 
StrengthInsignificant
Accuracy0.0%
ValuesDaily Returns

iPath Series B  vs.  QQQN

 Performance 
       Timeline  
iPath Series B 

Risk-Adjusted Performance

Modest

 
Weak
 
Strong
Compared to the overall equity markets, risk-adjusted returns on investments in iPath Series B are ranked lower than 5 (%) of all global equities and portfolios over the last 90 days. In spite of fairly weak basic indicators, IPath Series showed solid returns over the last few months and may actually be approaching a breakup point.
QQQN 

Risk-Adjusted Performance

Very Weak

 
Weak
 
Strong
Over the last 90 days QQQN has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of very healthy basic indicators, QQQN is not utilizing all of its potentials. The newest stock price disarray, may contribute to short-term losses for the investors.

IPath Series and QQQN Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with IPath Series and QQQN

The main advantage of trading using opposite IPath Series and QQQN positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if IPath Series position performs unexpectedly, QQQN 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 QQQN will offset losses from the drop in QQQN's long position.
The idea behind iPath Series B and QQQN 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 Fundamental Analysis module to view fundamental data based on most recent published financial statements.

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