Computer Graham Number from 2010 to 2024

CMG Stock  CAD 10.28  0.07  0.68%   
Computer Modelling Graham Number yearly trend continues to be very stable with very little volatility. Graham Number is likely to grow to 2.60 this year. During the period from 2010 to 2024, Computer Modelling Graham Number quarterly data regression pattern had sample variance of  0.34 and median of  2.11. View All Fundamentals
 
Graham Number  
First Reported
2010-12-31
Previous Quarter
2.47196477
Current Value
2.6
Quarterly Volatility
0.583874
 
Credit Downgrade
 
Yuan Drop
 
Covid
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 6 M, Interest Expense of 2 M or Selling General Administrative of 19.8 M, as well as many indicators such as Price To Sales Ratio of 4.77, Dividend Yield of 0.0336 or PTB Ratio of 6.61. Computer financial statements analysis is a perfect complement when working with Computer Modelling Valuation or Volatility modules.
  
This module can also supplement various Computer Modelling Technical models . Check out the analysis of Computer Modelling Correlation against competitors.

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 against Computer Stock

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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.
Pair CorrelationCorrelation Matching

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.