Correlation Between Dug Technology Ltd and Retail Food
Can any of the company-specific risk be diversified away by investing in both Dug Technology Ltd 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 Dug Technology Ltd and Retail Food into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Dug Technology and Retail Food Group, you can compare the effects of market volatilities on Dug Technology Ltd 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 Dug Technology Ltd with a short position of Retail Food. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dug Technology Ltd and Retail Food.
Diversification Opportunities for Dug Technology Ltd and Retail Food
0.42 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Dug and Retail is 0.42. Overlapping area represents the amount of risk that can be diversified away by holding Dug Technology 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 Dug Technology Ltd 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 Dug Technology 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 Dug Technology Ltd i.e., Dug Technology Ltd and Retail Food go up and down completely randomly.
Pair Corralation between Dug Technology Ltd and Retail Food
Assuming the 90 days trading horizon Dug Technology is expected to generate 1.34 times more return on investment than Retail Food. However, Dug Technology Ltd is 1.34 times more volatile than Retail Food Group. It trades about -0.06 of its potential returns per unit of risk. Retail Food Group is currently generating about -0.14 per unit of risk. If you would invest 129.00 in Dug Technology on December 20, 2024 and sell it today you would lose (23.00) from holding Dug Technology or give up 17.83% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Dug Technology vs. Retail Food Group
Performance |
Timeline |
Dug Technology Ltd |
Retail Food Group |
Dug Technology Ltd and Retail Food Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Dug Technology Ltd and Retail Food
The main advantage of trading using opposite Dug Technology Ltd and Retail Food positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dug Technology Ltd 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.Dug Technology Ltd vs. Group 6 Metals | Dug Technology Ltd vs. Everest Metals | Dug Technology Ltd vs. Centrex Metals | Dug Technology Ltd vs. Asian Battery Metals |
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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 Positions Ratings module to determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance.
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