Computer Research Development from 2010 to 2026
| CMG Stock | CAD 4.92 0.02 0.40% |
Research Development | First Reported 1997-06-30 | Previous Quarter 8 M | Current Value 5.8 M | Quarterly Volatility 2 M |
Check Computer Modelling financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Computer Modelling's main balance sheet or income statement drivers, such as Depreciation And Amortization of 10.2 M, Interest Expense of 2.5 M or Selling General Administrative of 26.1 M, as well as many indicators such as Price To Sales Ratio of 4.74, Dividend Yield of 0.0269 or PTB Ratio of 6.59. Computer financial statements analysis is a perfect complement when working with Computer Modelling Valuation or Volatility modules.
Computer | Research Development |
Latest Computer Modelling's Research Development Growth Pattern
Below is the plot of the Research Development of Computer Modelling Group over the last few years. It is Computer Modelling's Research Development historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Computer Modelling's overall financial position and show how it may be relating to other accounts over time.
| Research Development | 10 Years Trend |
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Research Development |
| Timeline |
Computer Research Development Regression Statistics
| Arithmetic Mean | 19,178,221 | |
| Geometric Mean | 17,151,095 | |
| Coefficient Of Variation | 43.55 | |
| Mean Deviation | 5,939,672 | |
| Median | 16,994,000 | |
| Standard Deviation | 8,352,303 | |
| Sample Variance | 69.8T | |
| Range | 33.2M | |
| R-Value | 0.87 | |
| Mean Square Error | 18.1T | |
| R-Squared | 0.76 | |
| Slope | 1,438,997 | |
| Total Sum of Squares | 1116.2T |
Computer Research Development History
About Computer Modelling Financial Statements
Computer Modelling investors utilize fundamental indicators, such as Research Development, to predict how Computer Stock might perform in the future. Analyzing these trends over time helps investors make informed market timing decisions. For further insights, please visit our fundamental analysis page.
| Last Reported | Projected for Next Year | ||
| Research Development | 34.7 M | 36.4 M |
Pair Trading with Computer Modelling
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 Computer Modelling 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 Computer Modelling will appreciate offsetting losses from the drop in the long position's value.Moving together with Computer Stock
The ability to find closely correlated positions to Computer Modelling could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Computer Modelling 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 Computer Modelling - 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 Computer Modelling Group to buy it.
The correlation of Computer Modelling 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 Computer Modelling moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Computer Modelling 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 Computer Modelling 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 Computer Stock
Computer Modelling financial ratios help investors to determine whether Computer 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 Computer with respect to the benefits of owning Computer Modelling security.