Correlation Between Metro Mining and Retail Food
Can any of the company-specific risk be diversified away by investing in both Metro Mining 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 Metro Mining and Retail Food into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Metro Mining and Retail Food Group, you can compare the effects of market volatilities on Metro Mining 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 Metro Mining with a short position of Retail Food. Check out your portfolio center. Please also check ongoing floating volatility patterns of Metro Mining and Retail Food.
Diversification Opportunities for Metro Mining and Retail Food
0.35 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Metro and Retail is 0.35. Overlapping area represents the amount of risk that can be diversified away by holding Metro Mining 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 Metro Mining 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 Metro Mining 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 Metro Mining i.e., Metro Mining and Retail Food go up and down completely randomly.
Pair Corralation between Metro Mining and Retail Food
Assuming the 90 days trading horizon Metro Mining is expected to generate 1.66 times more return on investment than Retail Food. However, Metro Mining is 1.66 times more volatile than Retail Food Group. It trades about 0.27 of its potential returns per unit of risk. Retail Food Group is currently generating about 0.03 per unit of risk. If you would invest 3.50 in Metro Mining on September 11, 2024 and sell it today you would earn a total of 2.80 from holding Metro Mining or generate 80.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Metro Mining vs. Retail Food Group
Performance |
Timeline |
Metro Mining |
Retail Food Group |
Metro Mining and Retail Food Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Metro Mining and Retail Food
The main advantage of trading using opposite Metro Mining and Retail Food positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Metro Mining 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.Metro Mining vs. Cleanaway Waste Management | Metro Mining vs. Autosports Group | Metro Mining vs. Bio Gene Technology | Metro Mining vs. Aurelia Metals |
Retail Food vs. Bisalloy Steel Group | Retail Food vs. Iron Road | Retail Food vs. Hansen Technologies | Retail Food vs. RLF AgTech |
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 Sign In To Macroaxis module to sign in to explore Macroaxis' wealth optimization platform and fintech modules.
Other Complementary Tools
Equity Valuation Check real value of public entities based on technical and fundamental data | |
Companies Directory Evaluate performance of over 100,000 Stocks, Funds, and ETFs against different fundamentals | |
Premium Stories Follow Macroaxis premium stories from verified contributors across different equity types, categories and coverage scope | |
Sectors List of equity sectors categorizing publicly traded companies based on their primary business activities | |
Insider Screener Find insiders across different sectors to evaluate their impact on performance |