Correlation Between GM and Adidas AG

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

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

Diversification Opportunities for GM and Adidas AG

-0.52

Correlation Coefficient

GM  Adidas AG

Excellent diversification

The 3 months correlation between GM and Adidas is -0.52. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and adidas AG in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on adidas AG and GM 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 General Motors are associated (or correlated) with Adidas AG. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of adidas AG has no effect on the direction of GM i.e., GM and Adidas AG go up and down completely randomly.

Pair Corralation between GM and Adidas AG

Allowing for the 90-day total investment horizon General Motors is expected to under-perform the Adidas AG. In addition to that, GM is 1.66 times more volatile than adidas AG. It trades about -0.21 of its total potential returns per unit of risk. adidas AG is currently generating about 0.21 per unit of volatility. If you would invest  22,150  in adidas AG on September 25, 2024 and sell it today you would earn a total of  1,460  from holding adidas AG or generate 6.59% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Against
Strength	Very Weak
Accuracy	95.45%
Values	Daily Returns

General Motors  vs.  adidas AG

General Motors

Risk-Adjusted Performance

9 of 100

OK

Compared to the overall equity markets, risk-adjusted returns on investments in General Motors are ranked lower than 9 (%) of all global equities and portfolios over the last 90 days. In spite of very weak primary indicators, GM displayed solid returns over the last few months and may actually be approaching a breakup point.

adidas AG

Risk-Adjusted Performance

4 of 100

Insignificant

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

Pair Trading with GM and Adidas AG

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

The idea behind General Motors and adidas AG 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.