Correlation Between Walmart and Big Lots

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

Diversification Opportunities for Walmart and Big Lots

-0.64
  Correlation Coefficient

Excellent diversification

The 3 months correlation between Walmart and Big is -0.64. Overlapping area represents the amount of risk that can be diversified away by holding Walmart and Big Lots in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Big Lots and Walmart 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 Walmart are associated (or correlated) with Big Lots. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Big Lots has no effect on the direction of Walmart i.e., Walmart and Big Lots go up and down completely randomly.

Pair Corralation between Walmart and Big Lots

If you would invest  9,035  in Walmart on October 24, 2024 and sell it today you would earn a total of  159.00  from holding Walmart or generate 1.76% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Against 
StrengthWeak
Accuracy5.56%
ValuesDaily Returns

Walmart  vs.  Big Lots

 Performance 
       Timeline  
Walmart 

Risk-Adjusted Performance

13 of 100

 
Weak
 
Strong
Good
Compared to the overall equity markets, risk-adjusted returns on investments in Walmart are ranked lower than 13 (%) of all global equities and portfolios over the last 90 days. In spite of comparatively uncertain primary indicators, Walmart may actually be approaching a critical reversion point that can send shares even higher in February 2025.
Big Lots 

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
Very Weak
Over the last 90 days Big Lots has generated negative risk-adjusted returns adding no value to investors with long positions. Despite nearly stable forward indicators, Big Lots is not utilizing all of its potentials. The new stock price disturbance, may contribute to mid-run losses for the stockholders.

Walmart and Big Lots Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Walmart and Big Lots

The main advantage of trading using opposite Walmart and Big Lots positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Walmart position performs unexpectedly, Big Lots 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 Big Lots will offset losses from the drop in Big Lots' long position.
The idea behind Walmart and Big Lots 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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