Correlation Between JD SPORTS and Data Modul

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

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

Diversification Opportunities for JD SPORTS and Data Modul

0.39

Correlation Coefficient

JD SPORTS  Data Modul

Weak diversification

The 3 months correlation between 9JD and Data is 0.39. Overlapping area represents the amount of risk that can be diversified away by holding JD SPORTS FASH 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 JD SPORTS 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 JD SPORTS FASH 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 JD SPORTS i.e., JD SPORTS and Data Modul go up and down completely randomly.

Pair Corralation between JD SPORTS and Data Modul

Assuming the 90 days horizon JD SPORTS FASH is expected to generate 1.46 times more return on investment than Data Modul. However, JD SPORTS is 1.46 times more volatile than Data Modul AG. It trades about 0.08 of its potential returns per unit of risk. Data Modul AG is currently generating about -0.01 per unit of risk. If you would invest  85.00  in JD SPORTS FASH on April 21, 2025 and sell it today you would earn a total of  11.00  from holding JD SPORTS FASH or generate 12.94% return on investment over 90 days.

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

JD SPORTS FASH  vs.  Data Modul AG

JD SPORTS FASH

Risk-Adjusted Performance

Modest

Compared to the overall equity markets, risk-adjusted returns on investments in JD SPORTS FASH are ranked lower than 6 (%) of all global equities and portfolios over the last 90 days. Despite nearly fragile basic indicators, JD SPORTS reported solid returns over the last few months and may actually be approaching a breakup point.

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 JD SPORTS and Data Modul

The main advantage of trading using opposite JD SPORTS and Data Modul positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if JD SPORTS 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 JD SPORTS FASH 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 Piotroski F Score module to get Piotroski F Score based on the binary analysis strategy of nine different fundamentals.