Correlation Between Walmart and CyberAgent

Can any of the company-specific risk be diversified away by investing in both Walmart and CyberAgent 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 CyberAgent into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between Walmart and CyberAgent, you can compare the effects of market volatilities on Walmart and CyberAgent 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 CyberAgent. Check out your portfolio center. Please also check ongoing floating volatility patterns of Walmart and CyberAgent.

Diversification Opportunities for Walmart and CyberAgent

0.6

Correlation Coefficient

Walmart  CyberAgent

Poor diversification

The 3 months correlation between Walmart and CyberAgent is 0.6. Overlapping area represents the amount of risk that can be diversified away by holding Walmart and CyberAgent in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on CyberAgent 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 CyberAgent. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of CyberAgent has no effect on the direction of Walmart i.e., Walmart and CyberAgent go up and down completely randomly.

Pair Corralation between Walmart and CyberAgent

Assuming the 90 days horizon Walmart is expected to generate 0.47 times more return on investment than CyberAgent. However, Walmart is 2.11 times less risky than CyberAgent. It trades about 0.12 of its potential returns per unit of risk. CyberAgent is currently generating about -0.01 per unit of risk. If you would invest  4,380  in Walmart on September 25, 2024 and sell it today you would earn a total of  4,293  from holding Walmart or generate 98.01% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Significant
Accuracy	100.0%
Values	Daily Returns

Walmart  vs.  CyberAgent

Walmart

Risk-Adjusted Performance

18 of 100

Solid

Compared to the overall equity markets, risk-adjusted returns on investments in Walmart are ranked lower than 18 (%) of all global equities and portfolios over the last 90 days. Despite nearly fragile basic indicators, Walmart reported solid returns over the last few months and may actually be approaching a breakup point.

CyberAgent

Risk-Adjusted Performance

4 of 100

Insignificant

Compared to the overall equity markets, risk-adjusted returns on investments in CyberAgent are ranked lower than 4 (%) of all global equities and portfolios over the last 90 days. Despite nearly fragile basic indicators, CyberAgent may actually be approaching a critical reversion point that can send shares even higher in January 2025.

Pair Trading with Walmart and CyberAgent

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

The idea behind Walmart and CyberAgent 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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.