Correlation Between DATALOGIC and SPORT LISBOA

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

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

Diversification Opportunities for DATALOGIC and SPORT LISBOA

0.44

Correlation Coefficient

DATALOGIC  SPORT LISBOA

Very weak diversification

The 3 months correlation between DATALOGIC and SPORT is 0.44. Overlapping area represents the amount of risk that can be diversified away by holding DATALOGIC and SPORT LISBOA E in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SPORT LISBOA E and DATALOGIC 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 DATALOGIC are associated (or correlated) with SPORT LISBOA. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SPORT LISBOA E has no effect on the direction of DATALOGIC i.e., DATALOGIC and SPORT LISBOA go up and down completely randomly.

Pair Corralation between DATALOGIC and SPORT LISBOA

Assuming the 90 days trading horizon DATALOGIC is expected to under-perform the SPORT LISBOA. But the stock apears to be less risky and, when comparing its historical volatility, DATALOGIC is 1.53 times less risky than SPORT LISBOA. The stock trades about -0.03 of its potential returns per unit of risk. The SPORT LISBOA E is currently generating about 0.19 of returns per unit of risk over similar time horizon. If you would invest  317.00  in SPORT LISBOA E on March 21, 2025 and sell it today you would earn a total of  173.00  from holding SPORT LISBOA E or generate 54.57% return on investment over 90 days.

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

DATALOGIC  vs.  SPORT LISBOA E

DATALOGIC

Risk-Adjusted Performance

Very Weak

Over the last 90 days DATALOGIC has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of rather sound technical and fundamental indicators, DATALOGIC is not utilizing all of its potentials. The current stock price tumult, may contribute to shorter-term losses for the shareholders.

SPORT LISBOA E

Risk-Adjusted Performance

Good

Compared to the overall equity markets, risk-adjusted returns on investments in SPORT LISBOA E are ranked lower than 15 (%) of all global equities and portfolios over the last 90 days. Despite nearly uncertain basic indicators, SPORT LISBOA reported solid returns over the last few months and may actually be approaching a breakup point.

Pair Trading with DATALOGIC and SPORT LISBOA

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

The idea behind DATALOGIC and SPORT LISBOA E 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 Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.