Correlation Between Orora and Retail Food

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

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

Diversification Opportunities for Orora and Retail Food

-0.32

Correlation Coefficient

Orora  Retail Food

Very good diversification

The 3 months correlation between Orora and Retail is -0.32. Overlapping area represents the amount of risk that can be diversified away by holding Orora and Retail Food Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Retail Food Group and Orora 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 Orora are associated (or correlated) with Retail Food. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Retail Food Group has no effect on the direction of Orora i.e., Orora and Retail Food go up and down completely randomly.

Pair Corralation between Orora and Retail Food

Assuming the 90 days trading horizon Orora is expected to under-perform the Retail Food. But the stock apears to be less risky and, when comparing its historical volatility, Orora is 1.53 times less risky than Retail Food. The stock trades about -0.01 of its potential returns per unit of risk. The Retail Food Group is currently generating about 0.05 of returns per unit of risk over similar time horizon. If you would invest  6.80  in Retail Food Group on September 2, 2024 and sell it today you would earn a total of  0.40  from holding Retail Food Group or generate 5.88% return on investment over 90 days.

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

Orora  vs.  Retail Food Group

Orora

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days Orora has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of comparatively stable basic indicators, Orora is not utilizing all of its potentials. The newest stock price uproar, may contribute to short-horizon losses for the private investors.

Retail Food Group

Risk-Adjusted Performance

3 of 100

Insignificant

Compared to the overall equity markets, risk-adjusted returns on investments in Retail Food Group are ranked lower than 3 (%) of all global equities and portfolios over the last 90 days. In spite of comparatively uncertain technical and fundamental indicators, Retail Food may actually be approaching a critical reversion point that can send shares even higher in January 2025.

Pair Trading with Orora and Retail Food

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

The idea behind Orora and Retail Food Group 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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.