Correlation Between PUMA SE and Adidas AG

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

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

Diversification Opportunities for PUMA SE and Adidas AG

-0.12

Correlation Coefficient

PUMA SE  Adidas AG

Good diversification

The 3 months correlation between PUMA and Adidas is -0.12. Overlapping area represents the amount of risk that can be diversified away by holding PUMA SE and adidas AG in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on adidas AG and PUMA SE 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 PUMA SE 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 PUMA SE i.e., PUMA SE and Adidas AG go up and down completely randomly.

Pair Corralation between PUMA SE and Adidas AG

Assuming the 90 days horizon PUMA SE is expected to generate 2.9 times less return on investment than Adidas AG. In addition to that, PUMA SE is 1.21 times more volatile than adidas AG. It trades about 0.06 of its total potential returns per unit of risk. adidas AG is currently generating about 0.2 per unit of volatility. If you would invest  10,900  in adidas AG on September 25, 2024 and sell it today you would earn a total of  700.00  from holding adidas AG or generate 6.42% return on investment over 90 days.

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

PUMA SE  vs.  adidas AG

PUMA SE

Risk-Adjusted Performance

14 of 100

Good

Compared to the overall equity markets, risk-adjusted returns on investments in PUMA SE are ranked lower than 14 (%) of all global equities and portfolios over the last 90 days. Despite nearly uncertain basic indicators, PUMA SE reported solid returns over the last few months and may actually be approaching a breakup point.

adidas AG

Risk-Adjusted Performance

5 of 100

Modest

Compared to the overall equity markets, risk-adjusted returns on investments in adidas AG are ranked lower than 5 (%) of all global equities and portfolios over the last 90 days. In spite of comparatively 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 PUMA SE and Adidas AG

The main advantage of trading using opposite PUMA SE and Adidas AG positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if PUMA SE 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 PUMA SE 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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.