Correlation Between Retail Food and Greentech Metals
Can any of the company-specific risk be diversified away by investing in both Retail Food and Greentech Metals 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 Retail Food and Greentech Metals into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Retail Food Group and Greentech Metals, you can compare the effects of market volatilities on Retail Food and Greentech Metals 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 Retail Food with a short position of Greentech Metals. Check out your portfolio center. Please also check ongoing floating volatility patterns of Retail Food and Greentech Metals.
Diversification Opportunities for Retail Food and Greentech Metals
0.34 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Retail and Greentech is 0.34. Overlapping area represents the amount of risk that can be diversified away by holding Retail Food Group and Greentech Metals in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Greentech Metals and Retail Food 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 Retail Food Group are associated (or correlated) with Greentech Metals. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Greentech Metals has no effect on the direction of Retail Food i.e., Retail Food and Greentech Metals go up and down completely randomly.
Pair Corralation between Retail Food and Greentech Metals
Assuming the 90 days trading horizon Retail Food Group is expected to generate 0.48 times more return on investment than Greentech Metals. However, Retail Food Group is 2.06 times less risky than Greentech Metals. It trades about -0.12 of its potential returns per unit of risk. Greentech Metals is currently generating about -0.14 per unit of risk. If you would invest 268.00 in Retail Food Group on October 25, 2024 and sell it today you would lose (53.00) from holding Retail Food Group or give up 19.78% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Retail Food Group vs. Greentech Metals
Performance |
Timeline |
Retail Food Group |
Greentech Metals |
Retail Food and Greentech Metals Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Retail Food and Greentech Metals
The main advantage of trading using opposite Retail Food and Greentech Metals positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Retail Food position performs unexpectedly, Greentech Metals 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 Greentech Metals will offset losses from the drop in Greentech Metals' long position.Retail Food vs. G8 Education | Retail Food vs. MFF Capital Investments | Retail Food vs. Saferoads Holdings | Retail Food vs. Hudson Investment Group |
Greentech Metals vs. Legacy Iron Ore | Greentech Metals vs. Bluescope Steel | Greentech Metals vs. Vulcan Steel | Greentech Metals vs. Actinogen Medical |
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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
Other Complementary Tools
Headlines Timeline Stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity | |
Portfolio Rebalancing Analyze risk-adjusted returns against different time horizons to find asset-allocation targets | |
Piotroski F Score Get Piotroski F Score based on the binary analysis strategy of nine different fundamentals | |
Premium Stories Follow Macroaxis premium stories from verified contributors across different equity types, categories and coverage scope | |
Insider Screener Find insiders across different sectors to evaluate their impact on performance |