Correlation Between Forsys Metals and Data Modul

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

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

Diversification Opportunities for Forsys Metals and Data Modul

0.66

Correlation Coefficient

Forsys Metals  Data Modul

Poor diversification

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

Pair Corralation between Forsys Metals and Data Modul

Assuming the 90 days horizon Forsys Metals Corp is expected to under-perform the Data Modul. In addition to that, Forsys Metals is 2.92 times more volatile than Data Modul AG. It trades about -0.01 of its total potential returns per unit of risk. Data Modul AG is currently generating about -0.01 per unit of volatility. If you would invest  2,720  in Data Modul AG on December 20, 2024 and sell it today you would lose (80.00) from holding Data Modul AG or give up 2.94% of portfolio value over 90 days.

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

Forsys Metals Corp  vs.  Data Modul AG

Forsys Metals Corp

Risk-Adjusted Performance

Very Weak

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

Data Modul AG

Risk-Adjusted Performance

Very Weak

Over the last 90 days Data Modul AG has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of very healthy primary indicators, Data Modul is not utilizing all of its potentials. The current stock price disarray, may contribute to short-term losses for the investors.

Pair Trading with Forsys Metals and Data Modul

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

The idea behind Forsys Metals Corp and Data Modul 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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.