Aurora Cannabis Earnings Estimate
ACB Stock | CAD 6.50 0.11 1.72% |
Aurora |
Aurora Cannabis Earnings per Share Projection vs Actual
About Aurora Cannabis Earnings Estimate
The earnings estimate module is a useful tool to check what professional financial analysts are assuming about the future of Aurora Cannabis earnings. We show available consensus EPS estimates for the upcoming years and quarters. Investors can also examine how these consensus opinions have evolved historically. We show current Aurora Cannabis estimates, future projections, as well as estimates 1, 2, and three years ago. Investors can search for a specific entity to conduct investment planning and build diversified portfolios. Please note, earnings estimates provided by Macroaxis are the average expectations of expert analysts that we track. If a given stock such as Aurora Cannabis fails to match professional earnings estimates, it usually performs purely. Wall Street refers to that as a 'negative surprise.' If a company 'beats' future estimates, it's usually called an 'upside surprise.'
Please read more on our stock advisor page.Last Reported | Projected for Next Year | ||
Retained Earnings | -6.4 B | -6 B | |
Earnings Yield | (0.25) | (0.26) | |
Price Earnings Ratio | (4.00) | (3.80) | |
Price Earnings To Growth Ratio | 0.05 | 0.05 |
Pair Trading with Aurora Cannabis
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Aurora Cannabis position performs unexpectedly, the other equity 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 Aurora Cannabis will appreciate offsetting losses from the drop in the long position's value.Moving together with Aurora Stock
Moving against Aurora Stock
The ability to find closely correlated positions to Aurora Cannabis could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Aurora Cannabis when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Aurora Cannabis - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Aurora Cannabis to buy it.
The correlation of Aurora Cannabis is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Aurora Cannabis moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Aurora Cannabis moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Aurora Cannabis can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Check out Trending Equities to better understand how to build diversified portfolios, which includes a position in Aurora Cannabis. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in board of governors. To learn how to invest in Aurora Stock, please use our How to Invest in Aurora Cannabis guide.You can also try the Options Analysis module to analyze and evaluate options and option chains as a potential hedge for your portfolios.