Data Communications Earnings Estimate
| DCM Stock | CAD 2.10 0.01 0.48% |
Data |
Data Communications Earnings per Share Projection vs Actual
About Data Communications Earnings Estimate
The earnings estimate module is a useful tool to check what professional financial analysts are assuming about the future of Data Communications 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 Data Communications 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 Data Communications 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 | -258.5 M | -271.4 M | |
| Earnings Yield | (0.12) | (0.12) | |
| Price Earnings Ratio | (8.40) | (7.98) | |
| Price Earnings To Growth Ratio | 0.04 | 0.04 |
Pair Trading with Data Communications
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 Data Communications 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 Data Communications will appreciate offsetting losses from the drop in the long position's value.Moving together with Data Stock
Moving against Data Stock
| 0.83 | TCS | TECSYS Inc | PairCorr |
| 0.81 | DBO | D Box Technologies | PairCorr |
| 0.77 | FFH-PH | Fairfax Financial | PairCorr |
| 0.77 | PEY | Peyto ExplorationDevel | PairCorr |
| 0.75 | FFH-PF | Fairfax Financial | PairCorr |
The ability to find closely correlated positions to Data Communications could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Data Communications 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 Data Communications - 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 Data Communications Management to buy it.
The correlation of Data Communications 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 Data Communications moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Data Communications 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 Data Communications 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.Other Information on Investing in Data Stock
Data Communications financial ratios help investors to determine whether Data Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Data with respect to the benefits of owning Data Communications security.