Correlation Between Bet At and DATA MODUL

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

By analyzing existing cross correlation between bet at home AG and DATA MODUL , you can compare the effects of market volatilities on Bet At 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 Bet At with a short position of DATA MODUL. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bet At and DATA MODUL.

Diversification Opportunities for Bet At and DATA MODUL

0.5

Correlation Coefficient

Bet At  DATA MODUL

Very weak diversification

The 3 months correlation between Bet and DATA is 0.5. Overlapping area represents the amount of risk that can be diversified away by holding bet at home AG and DATA MODUL in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on DATA MODUL and Bet At 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 bet at home AG 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 has no effect on the direction of Bet At i.e., Bet At and DATA MODUL go up and down completely randomly.

Pair Corralation between Bet At and DATA MODUL

Assuming the 90 days trading horizon bet at home AG is expected to generate 1.79 times more return on investment than DATA MODUL. However, Bet At is 1.79 times more volatile than DATA MODUL . It trades about 0.05 of its potential returns per unit of risk. DATA MODUL is currently generating about 0.01 per unit of risk. If you would invest  254.00  in bet at home AG on April 20, 2025 and sell it today you would earn a total of  24.00  from holding bet at home AG or generate 9.45% return on investment over 90 days.

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

bet at home AG  vs.  DATA MODUL

bet at home

Risk-Adjusted Performance

Insignificant

Compared to the overall equity markets, risk-adjusted returns on investments in bet at home AG are ranked lower than 4 (%) of all global equities and portfolios over the last 90 days. In spite of rather uncertain basic indicators, Bet At exhibited solid returns over the last few months and may actually be approaching a breakup point.

DATA MODUL

Risk-Adjusted Performance

Weak

Compared to the overall equity markets, risk-adjusted returns on investments in DATA MODUL are ranked lower than 1 (%) of all global equities and portfolios over the last 90 days. In spite of comparatively stable primary indicators, DATA MODUL is not utilizing all of its potentials. The current stock price uproar, may contribute to short-horizon losses for the private investors.

Pair Trading with Bet At and DATA MODUL

The main advantage of trading using opposite Bet At and DATA MODUL positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bet At 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 bet at home AG and DATA MODUL 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 Aroon Oscillator module to analyze current equity momentum using Aroon Oscillator and other momentum ratios.