Correlation Between NYSE Composite and HLNLN

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Can any of the company-specific risk be diversified away by investing in both NYSE Composite and HLNLN 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 HLNLN into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between NYSE Composite and HLNLN 4 24 MAR 52, you can compare the effects of market volatilities on NYSE Composite and HLNLN 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 HLNLN. Check out your portfolio center. Please also check ongoing floating volatility patterns of NYSE Composite and HLNLN.

Diversification Opportunities for NYSE Composite and HLNLN

-0.47
  Correlation Coefficient

Very good diversification

The 3 months correlation between NYSE and HLNLN is -0.47. Overlapping area represents the amount of risk that can be diversified away by holding NYSE Composite and HLNLN 4 24 MAR 52 in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on HLNLN 4 24 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 HLNLN. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of HLNLN 4 24 has no effect on the direction of NYSE Composite i.e., NYSE Composite and HLNLN go up and down completely randomly.
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Pair Corralation between NYSE Composite and HLNLN

Assuming the 90 days trading horizon NYSE Composite is expected to generate 2.94 times less return on investment than HLNLN. But when comparing it to its historical volatility, NYSE Composite is 4.74 times less risky than HLNLN. It trades about 0.24 of its potential returns per unit of risk. HLNLN 4 24 MAR 52 is currently generating about 0.15 of returns per unit of risk over similar time horizon. If you would invest  8,032  in HLNLN 4 24 MAR 52 on August 26, 2024 and sell it today you would earn a total of  548.00  from holding HLNLN 4 24 MAR 52 or generate 6.82% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Against 
StrengthVery Weak
Accuracy72.73%
ValuesDaily Returns

NYSE Composite  vs.  HLNLN 4 24 MAR 52

 Performance 
       Timeline  

NYSE Composite and HLNLN Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with NYSE Composite and HLNLN

The main advantage of trading using opposite NYSE Composite and HLNLN positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if NYSE Composite position performs unexpectedly, HLNLN 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 HLNLN will offset losses from the drop in HLNLN's long position.
The idea behind NYSE Composite and HLNLN 4 24 MAR 52 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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.

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