Correlation Between Chase and Orica

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

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

Diversification Opportunities for Chase and Orica

0.0

Correlation Coefficient

Chase  Orica

Pay attention - limited upside

The 3 months correlation between Chase and Orica is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding Chase and Orica Limited in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Orica Limited and Chase 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 Chase are associated (or correlated) with Orica. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Orica Limited has no effect on the direction of Chase i.e., Chase and Orica go up and down completely randomly.

Pair Corralation between Chase and Orica

If you would invest  968.00  in Orica Limited on December 28, 2024 and sell it today you would earn a total of  132.00  from holding Orica Limited or generate 13.64% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Flat
Strength	Insignificant
Accuracy	0.0%
Values	Daily Returns

Chase  vs.  Orica Limited

Chase

Risk-Adjusted Performance

Very Weak

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

Orica Limited

Risk-Adjusted Performance

Good

Compared to the overall equity markets, risk-adjusted returns on investments in Orica Limited are ranked lower than 14 (%) of all global equities and portfolios over the last 90 days. Despite nearly weak fundamental indicators, Orica reported solid returns over the last few months and may actually be approaching a breakup point.

Pair Trading with Chase and Orica

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

The idea behind Chase and Orica Limited 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.

Check out your portfolio center.

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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.