Correlation Between NYSE Composite and Cognetivity Neurosciences

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

Diversification Opportunities for NYSE Composite and Cognetivity Neurosciences

0.23
  Correlation Coefficient

Modest diversification

The 3 months correlation between NYSE and Cognetivity is 0.23. Overlapping area represents the amount of risk that can be diversified away by holding NYSE Composite and Cognetivity Neurosciences in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Cognetivity Neurosciences and NYSE Composite 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 NYSE Composite are associated (or correlated) with Cognetivity Neurosciences. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Cognetivity Neurosciences has no effect on the direction of NYSE Composite i.e., NYSE Composite and Cognetivity Neurosciences go up and down completely randomly.
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Pair Corralation between NYSE Composite and Cognetivity Neurosciences

Assuming the 90 days trading horizon NYSE Composite is expected to generate 34.24 times less return on investment than Cognetivity Neurosciences. But when comparing it to its historical volatility, NYSE Composite is 76.0 times less risky than Cognetivity Neurosciences. It trades about 0.26 of its potential returns per unit of risk. Cognetivity Neurosciences is currently generating about 0.12 of returns per unit of risk over similar time horizon. If you would invest  0.60  in Cognetivity Neurosciences on August 30, 2024 and sell it today you would lose (0.20) from holding Cognetivity Neurosciences or give up 33.33% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthVery Weak
Accuracy95.65%
ValuesDaily Returns

NYSE Composite  vs.  Cognetivity Neurosciences

 Performance 
       Timeline  

NYSE Composite and Cognetivity Neurosciences Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with NYSE Composite and Cognetivity Neurosciences

The main advantage of trading using opposite NYSE Composite and Cognetivity Neurosciences positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if NYSE Composite position performs unexpectedly, Cognetivity Neurosciences 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 Cognetivity Neurosciences will offset losses from the drop in Cognetivity Neurosciences' long position.
The idea behind NYSE Composite and Cognetivity Neurosciences 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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.

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