Correlation Between PF Bakkafrost and Metro AG

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

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

Diversification Opportunities for PF Bakkafrost and Metro AG

0.02

Correlation Coefficient

PF Bakkafrost  Metro AG

Significant diversification

The 3 months correlation between 6BF and Metro is 0.02. Overlapping area represents the amount of risk that can be diversified away by holding PF Bakkafrost and Metro AG in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Metro AG and PF Bakkafrost 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 PF Bakkafrost are associated (or correlated) with Metro AG. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Metro AG has no effect on the direction of PF Bakkafrost i.e., PF Bakkafrost and Metro AG go up and down completely randomly.

Pair Corralation between PF Bakkafrost and Metro AG

Assuming the 90 days horizon PF Bakkafrost is expected to generate 0.68 times more return on investment than Metro AG. However, PF Bakkafrost is 1.48 times less risky than Metro AG. It trades about 0.06 of its potential returns per unit of risk. Metro AG is currently generating about 0.0 per unit of risk. If you would invest  3,513  in PF Bakkafrost on October 4, 2024 and sell it today you would earn a total of  1,917  from holding PF Bakkafrost or generate 54.57% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Insignificant
Accuracy	99.7%
Values	Daily Returns

PF Bakkafrost  vs.  Metro AG

PF Bakkafrost

Risk-Adjusted Performance

0 of 100

Very Weak

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

Metro AG

Risk-Adjusted Performance

0 of 100

Very Weak

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

Pair Trading with PF Bakkafrost and Metro AG

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

The idea behind PF Bakkafrost and Metro 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 Alpha Finder module to use alpha and beta coefficients to find investment opportunities after accounting for the risk.