Correlation Between Aryzta AG and SSMTF

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

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

Diversification Opportunities for Aryzta AG and SSMTF

0.0

Correlation Coefficient

Aryzta AG  SSMTF

Pay attention - limited upside

The 3 months correlation between Aryzta and SSMTF is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding Aryzta AG PK and SSMTF in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SSMTF and Aryzta AG 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 Aryzta AG PK are associated (or correlated) with SSMTF. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SSMTF has no effect on the direction of Aryzta AG i.e., Aryzta AG and SSMTF go up and down completely randomly.

Pair Corralation between Aryzta AG and SSMTF

If you would invest  90.00  in Aryzta AG PK on October 5, 2024 and sell it today you would lose (4.00) from holding Aryzta AG PK or give up 4.44% of portfolio value over 90 days.

Time Period	3 Months [change]
Direction	Flat
Strength	Insignificant
Accuracy	5.83%
Values	Daily Returns

Aryzta AG PK  vs.  SSMTF

Aryzta AG PK

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days Aryzta AG PK has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of latest uncertain performance, the Stock's basic indicators remain strong and the current disturbance on Wall Street may also be a sign of long term gains for the company investors.

SSMTF

Risk-Adjusted Performance

0 of 100

Very Weak

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

Pair Trading with Aryzta AG and SSMTF

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

The idea behind Aryzta AG PK and SSMTF 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.