Correlation Between Macys and Twitter

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

Diversification Opportunities for Macys and Twitter

-0.02
  Correlation Coefficient

Good diversification

The 3 months correlation between Macys and Twitter is -0.02. Overlapping area represents the amount of risk that can be diversified away by holding Macys Inc and Twitter in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Twitter and Macys 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 Macys Inc are associated (or correlated) with Twitter. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Twitter has no effect on the direction of Macys i.e., Macys and Twitter go up and down completely randomly.

Pair Corralation between Macys and Twitter

If you would invest  5,370  in Twitter on January 21, 2024 and sell it today you would earn a total of  0.00  from holding Twitter or generate 0.0% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Against 
StrengthInsignificant
Accuracy4.55%
ValuesDaily Returns

Macys Inc  vs.  Twitter

 Performance 
       Timeline  
Macys Inc 

Risk-Adjusted Performance

2 of 100

 
Weak
 
Strong
Weak
Compared to the overall equity markets, risk-adjusted returns on investments in Macys Inc are ranked lower than 2 (%) of all global equities and portfolios over the last 90 days. In spite of very healthy primary indicators, Macys is not utilizing all of its potentials. The current stock price disarray, may contribute to short-term losses for the investors.
Twitter 

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
Very Weak
Over the last 90 days Twitter has generated negative risk-adjusted returns adding no value to investors with long positions. Even with relatively invariable basic indicators, Twitter is not utilizing all of its potentials. The current stock price agitation, may contribute to short-term losses for the retail investors.

Macys and Twitter Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Macys and Twitter

The main advantage of trading using opposite Macys and Twitter positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Macys position performs unexpectedly, Twitter 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 Twitter will offset losses from the drop in Twitter's long position.
The idea behind Macys Inc and Twitter 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 AI Portfolio Architect module to use AI to generate optimal portfolios and find profitable investment opportunities.

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