Correlation Between Data Modul and AP Møller

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

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

Diversification Opportunities for Data Modul and AP Møller

0.27

Correlation Coefficient

Data Modul  AP Møller

Modest diversification

The 3 months correlation between Data and DP4B is 0.27. Overlapping area represents the amount of risk that can be diversified away by holding Data Modul AG and AP Mller in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on AP Møller and Data Modul 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 Data Modul AG are associated (or correlated) with AP Møller. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of AP Møller has no effect on the direction of Data Modul i.e., Data Modul and AP Møller go up and down completely randomly.

Pair Corralation between Data Modul and AP Møller

Assuming the 90 days trading horizon Data Modul AG is expected to under-perform the AP Møller. But the stock apears to be less risky and, when comparing its historical volatility, Data Modul AG is 1.08 times less risky than AP Møller. The stock trades about -0.03 of its potential returns per unit of risk. The AP Mller is currently generating about 0.15 of returns per unit of risk over similar time horizon. If you would invest  146,250  in AP Mller on October 7, 2024 and sell it today you would earn a total of  20,000  from holding AP Mller or generate 13.68% return on investment over 90 days.

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

Data Modul AG  vs.  AP Mller

Data Modul AG

Risk-Adjusted Performance

3 of 100

Insignificant

Compared to the overall equity markets, risk-adjusted returns on investments in Data Modul AG are ranked lower than 3 (%) of all global equities and portfolios over the last 90 days. In spite of very fragile primary indicators, Data Modul may actually be approaching a critical reversion point that can send shares even higher in February 2025.

AP Møller

Risk-Adjusted Performance

13 of 100

Good

Compared to the overall equity markets, risk-adjusted returns on investments in AP Mller are ranked lower than 13 (%) of all global equities and portfolios over the last 90 days. Despite nearly fragile basic indicators, AP Møller reported solid returns over the last few months and may actually be approaching a breakup point.

Pair Trading with Data Modul and AP Møller

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

The idea behind Data Modul AG and AP Mller 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 Price Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.