Correlation Between Western Copper and DATALOGIC

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

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

Diversification Opportunities for Western Copper and DATALOGIC

0.1

Correlation Coefficient

Western Copper  DATALOGIC

Average diversification

The 3 months correlation between Western and DATALOGIC is 0.1. Overlapping area represents the amount of risk that can be diversified away by holding Western Copper and and DATALOGIC in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on DATALOGIC and Western Copper 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 Western Copper and are associated (or correlated) with DATALOGIC. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of DATALOGIC has no effect on the direction of Western Copper i.e., Western Copper and DATALOGIC go up and down completely randomly.

Pair Corralation between Western Copper and DATALOGIC

Assuming the 90 days trading horizon Western Copper is expected to generate 2.08 times less return on investment than DATALOGIC. In addition to that, Western Copper is 1.88 times more volatile than DATALOGIC. It trades about 0.03 of its total potential returns per unit of risk. DATALOGIC is currently generating about 0.14 per unit of volatility. If you would invest  372.00  in DATALOGIC on April 20, 2025 and sell it today you would earn a total of  57.00  from holding DATALOGIC or generate 15.32% return on investment over 90 days.

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

Western Copper and  vs.  DATALOGIC

Western Copper

Risk-Adjusted Performance

Weak

Compared to the overall equity markets, risk-adjusted returns on investments in Western Copper and are ranked lower than 2 (%) of all global equities and portfolios over the last 90 days. Despite nearly fragile basic indicators, Western Copper may actually be approaching a critical reversion point that can send shares even higher in August 2025.

DATALOGIC

Risk-Adjusted Performance

OK

Compared to the overall equity markets, risk-adjusted returns on investments in DATALOGIC are ranked lower than 10 (%) of all global equities and portfolios over the last 90 days. In spite of rather fragile technical and fundamental indicators, DATALOGIC exhibited solid returns over the last few months and may actually be approaching a breakup point.

Pair Trading with Western Copper and DATALOGIC

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

The idea behind Western Copper and and DATALOGIC 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 CEOs Directory module to screen CEOs from public companies around the world.