Correlation Between NYSE Composite and Couchbase

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

Diversification Opportunities for NYSE Composite and Couchbase

0.69
  Correlation Coefficient

Poor diversification

The 3 months correlation between NYSE and Couchbase is 0.69. Overlapping area represents the amount of risk that can be diversified away by holding NYSE Composite and Couchbase in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Couchbase 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 Couchbase. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Couchbase has no effect on the direction of NYSE Composite i.e., NYSE Composite and Couchbase go up and down completely randomly.
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Pair Corralation between NYSE Composite and Couchbase

Assuming the 90 days trading horizon NYSE Composite is expected to under-perform the Couchbase. But the index apears to be less risky and, when comparing its historical volatility, NYSE Composite is 5.69 times less risky than Couchbase. The index trades about -0.03 of its potential returns per unit of risk. The Couchbase is currently generating about 0.0 of returns per unit of risk over similar time horizon. If you would invest  1,612  in Couchbase on September 30, 2024 and sell it today you would lose (88.00) from holding Couchbase or give up 5.46% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthSignificant
Accuracy100.0%
ValuesDaily Returns

NYSE Composite  vs.  Couchbase

 Performance 
       Timeline  

NYSE Composite and Couchbase Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with NYSE Composite and Couchbase

The main advantage of trading using opposite NYSE Composite and Couchbase positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if NYSE Composite position performs unexpectedly, Couchbase 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 Couchbase will offset losses from the drop in Couchbase's long position.
The idea behind NYSE Composite and Couchbase 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 Efficient Frontier module to plot and analyze your portfolio and positions against risk-return landscape of the market..

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