Correlation Between Wendys and NYSE Composite

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

Diversification Opportunities for Wendys and NYSE Composite

-0.07
  Correlation Coefficient

Good diversification

The 3 months correlation between Wendys and NYSE is -0.07. Overlapping area represents the amount of risk that can be diversified away by holding The Wendys Co and NYSE Composite in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on NYSE Composite and Wendys 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 The Wendys Co are associated (or correlated) with NYSE Composite. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of NYSE Composite has no effect on the direction of Wendys i.e., Wendys and NYSE Composite go up and down completely randomly.
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Pair Corralation between Wendys and NYSE Composite

Considering the 90-day investment horizon The Wendys Co is expected to under-perform the NYSE Composite. In addition to that, Wendys is 1.55 times more volatile than NYSE Composite. It trades about -0.01 of its total potential returns per unit of risk. NYSE Composite is currently generating about 0.02 per unit of volatility. If you would invest  1,612,966  in NYSE Composite on November 24, 2023 and sell it today you would earn a total of  143,541  from holding NYSE Composite or generate 8.9% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Against 
StrengthInsignificant
Accuracy100.0%
ValuesDaily Returns

The Wendys Co  vs.  NYSE Composite

 Performance 
       Timeline  

Wendys and NYSE Composite Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Wendys and NYSE Composite

The main advantage of trading using opposite Wendys and NYSE Composite positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Wendys position performs unexpectedly, NYSE Composite 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 NYSE Composite will offset losses from the drop in NYSE Composite's long position.
The idea behind The Wendys Co and NYSE Composite 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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.

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