Correlation Between NYSE Composite and Swiss Re

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

Diversification Opportunities for NYSE Composite and Swiss Re

0.21
  Correlation Coefficient

Modest diversification

The 3 months correlation between NYSE and Swiss is 0.21. Overlapping area represents the amount of risk that can be diversified away by holding NYSE Composite and Swiss Re AG in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Swiss Re AG 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 Swiss Re. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Swiss Re AG has no effect on the direction of NYSE Composite i.e., NYSE Composite and Swiss Re go up and down completely randomly.
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Pair Corralation between NYSE Composite and Swiss Re

Assuming the 90 days trading horizon NYSE Composite is expected to generate 10.5 times less return on investment than Swiss Re. But when comparing it to its historical volatility, NYSE Composite is 1.27 times less risky than Swiss Re. It trades about 0.02 of its potential returns per unit of risk. Swiss Re AG is currently generating about 0.2 of returns per unit of risk over similar time horizon. If you would invest  14,367  in Swiss Re AG on December 29, 2024 and sell it today you would earn a total of  1,878  from holding Swiss Re AG or generate 13.07% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthVery Weak
Accuracy100.0%
ValuesDaily Returns

NYSE Composite  vs.  Swiss Re AG

 Performance 
       Timeline  

NYSE Composite and Swiss Re Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with NYSE Composite and Swiss Re

The main advantage of trading using opposite NYSE Composite and Swiss Re positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if NYSE Composite position performs unexpectedly, Swiss Re 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 Swiss Re will offset losses from the drop in Swiss Re's long position.
The idea behind NYSE Composite and Swiss Re AG 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 Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.

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