Correlation Between Adidas AG and Tyson Foods

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

By analyzing existing cross correlation between adidas AG and Tyson Foods, you can compare the effects of market volatilities on Adidas AG and Tyson Foods 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 Adidas AG with a short position of Tyson Foods. Check out your portfolio center. Please also check ongoing floating volatility patterns of Adidas AG and Tyson Foods.

Diversification Opportunities for Adidas AG and Tyson Foods

-0.19

Correlation Coefficient

Adidas AG  Tyson Foods

Good diversification

The 3 months correlation between Adidas and Tyson is -0.19. Overlapping area represents the amount of risk that can be diversified away by holding adidas AG and Tyson Foods in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Tyson Foods and Adidas AG 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 adidas AG are associated (or correlated) with Tyson Foods. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Tyson Foods has no effect on the direction of Adidas AG i.e., Adidas AG and Tyson Foods go up and down completely randomly.

Pair Corralation between Adidas AG and Tyson Foods

Assuming the 90 days trading horizon adidas AG is expected to generate 1.25 times more return on investment than Tyson Foods. However, Adidas AG is 1.25 times more volatile than Tyson Foods. It trades about 0.25 of its potential returns per unit of risk. Tyson Foods is currently generating about -0.13 per unit of risk. If you would invest  11,700  in adidas AG on October 26, 2024 and sell it today you would earn a total of  1,100  from holding adidas AG or generate 9.4% return on investment over 90 days.

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

adidas AG  vs.  Tyson Foods

adidas AG

Risk-Adjusted Performance

14 of 100

Good

Compared to the overall equity markets, risk-adjusted returns on investments in adidas AG are ranked lower than 14 (%) of all global equities and portfolios over the last 90 days. In spite of comparatively uncertain basic indicators, Adidas AG unveiled solid returns over the last few months and may actually be approaching a breakup point.

Tyson Foods

Risk-Adjusted Performance

0 of 100

Very Weak

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

Pair Trading with Adidas AG and Tyson Foods

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

The idea behind adidas AG and Tyson Foods 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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.