Correlation Between GM and PUMA SE

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

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

Diversification Opportunities for GM and PUMA SE

0.86

Correlation Coefficient

GM  PUMA SE

Very poor diversification

The 3 months correlation between GM and PUMA is 0.86. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and PUMA SE in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on PUMA SE 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 PUMA SE. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of PUMA SE has no effect on the direction of GM i.e., GM and PUMA SE go up and down completely randomly.

Pair Corralation between GM and PUMA SE

Allowing for the 90-day total investment horizon GM is expected to generate 1.66 times less return on investment than PUMA SE. In addition to that, GM is 1.07 times more volatile than PUMA SE. It trades about 0.07 of its total potential returns per unit of risk. PUMA SE is currently generating about 0.13 per unit of volatility. If you would invest  3,814  in PUMA SE on September 17, 2024 and sell it today you would earn a total of  729.00  from holding PUMA SE or generate 19.11% return on investment over 90 days.

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

General Motors  vs.  PUMA SE

General Motors

Risk-Adjusted Performance

5 of 100

Modest

Compared to the overall equity markets, risk-adjusted returns on investments in General Motors are ranked lower than 5 (%) of all global equities and portfolios over the last 90 days. In spite of very weak primary indicators, GM may actually be approaching a critical reversion point that can send shares even higher in January 2025.

PUMA SE

Risk-Adjusted Performance

10 of 100

OK

Compared to the overall equity markets, risk-adjusted returns on investments in PUMA SE are ranked lower than 10 (%) 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.

Pair Trading with GM and PUMA SE

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

The idea behind General Motors and PUMA SE 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 Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.