Correlation Between McDonalds and SEB SA

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

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

Diversification Opportunities for McDonalds and SEB SA

-0.66

Correlation Coefficient

McDonalds  SEB SA

Excellent diversification

The 3 months correlation between McDonalds and SEB is -0.66. Overlapping area represents the amount of risk that can be diversified away by holding McDonalds and SEB SA in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SEB SA and McDonalds 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 McDonalds are associated (or correlated) with SEB SA. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SEB SA has no effect on the direction of McDonalds i.e., McDonalds and SEB SA go up and down completely randomly.

Pair Corralation between McDonalds and SEB SA

Considering the 90-day investment horizon McDonalds is expected to generate 0.46 times more return on investment than SEB SA. However, McDonalds is 2.18 times less risky than SEB SA. It trades about 0.11 of its potential returns per unit of risk. SEB SA is currently generating about -0.09 per unit of risk. If you would invest  28,794  in McDonalds on December 28, 2024 and sell it today you would earn a total of  2,475  from holding McDonalds or generate 8.6% return on investment over 90 days.

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

McDonalds  vs.  SEB SA

McDonalds

Risk-Adjusted Performance

OK

Compared to the overall equity markets, risk-adjusted returns on investments in McDonalds are ranked lower than 8 (%) of all global equities and portfolios over the last 90 days. In spite of rather unfluctuating fundamental indicators, McDonalds may actually be approaching a critical reversion point that can send shares even higher in April 2025.

SEB SA

Risk-Adjusted Performance

Very Weak

Over the last 90 days SEB SA has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of unsteady performance in the last few months, the Stock's basic indicators remain fairly strong which may send shares a bit higher in April 2025. The current disturbance may also be a sign of long term up-swing for the company investors.

Pair Trading with McDonalds and SEB SA

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

The idea behind McDonalds and SEB SA 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.