Computer Modelling Group Stock Market Value
| CMG Stock | CAD 10.35 0.12 1.15% |
| Symbol | Computer |
Computer Modelling Price To Book Ratio
Computer Modelling 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Computer Modelling's stock what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Computer Modelling.
| 10/27/2024 |
| 11/26/2024 |
If you would invest 0.00 in Computer Modelling on October 27, 2024 and sell it all today you would earn a total of 0.00 from holding Computer Modelling Group or generate 0.0% return on investment in Computer Modelling over 30 days. Computer Modelling is related to or competes with Slate Grocery, Roots Corp, Aimia, Tucows, GDI Integrated, Pembina Pipeline, and National Bank. Computer Modelling Group Ltd., a computer software technology company, develops and licenses reservoir simulation softwa... More
Computer Modelling Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Computer Modelling's stock current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Computer Modelling Group upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.16) | |||
| Maximum Drawdown | 14.46 | |||
| Value At Risk | (3.76) | |||
| Potential Upside | 2.98 |
Computer Modelling Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Computer Modelling's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Computer Modelling's standard deviation. In reality, there are many statistical measures that can use Computer Modelling historical prices to predict the future Computer Modelling's volatility.| Risk Adjusted Performance | (0.07) | |||
| Jensen Alpha | (0.36) | |||
| Total Risk Alpha | (0.65) | |||
| Treynor Ratio | (0.34) |
Computer Modelling Backtested Returns
Computer Modelling secures Sharpe Ratio (or Efficiency) of -0.11, which signifies that the company had a -0.11% return per unit of risk over the last 3 months. Computer Modelling Group exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Computer Modelling's Mean Deviation of 1.83, standard deviation of 2.43, and Risk Adjusted Performance of (0.07) to double-check the risk estimate we provide. The firm shows a Beta (market volatility) of 0.79, which signifies possible diversification benefits within a given portfolio. As returns on the market increase, Computer Modelling's returns are expected to increase less than the market. However, during the bear market, the loss of holding Computer Modelling is expected to be smaller as well. At this point, Computer Modelling has a negative expected return of -0.27%. Please make sure to confirm Computer Modelling's treynor ratio, accumulation distribution, period momentum indicator, as well as the relationship between the potential upside and day median price , to decide if Computer Modelling performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.18 |
Insignificant reverse predictability
Computer Modelling Group has insignificant reverse predictability. Overlapping area represents the amount of predictability between Computer Modelling time series from 27th of October 2024 to 11th of November 2024 and 11th of November 2024 to 26th of November 2024. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Computer Modelling price movement. The serial correlation of -0.18 indicates that over 18.0% of current Computer Modelling price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.18 | |
| Spearman Rank Test | -0.5 | |
| Residual Average | 0.0 | |
| Price Variance | 0.52 |
Computer Modelling lagged returns against current returns
Autocorrelation, which is Computer Modelling stock's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting Computer Modelling's stock expected returns. We can calculate the autocorrelation of Computer Modelling returns to help us make a trade decision. For example, suppose you find that Computer Modelling has exhibited high autocorrelation historically, and you observe that the stock is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
| Timeline |
Computer Modelling regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If Computer Modelling stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Computer Modelling stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Computer Modelling stock over time.
Current vs Lagged Prices |
| Timeline |
Computer Modelling Lagged Returns
When evaluating Computer Modelling's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Computer Modelling stock have on its future price. Computer Modelling autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, Computer Modelling autocorrelation shows the relationship between Computer Modelling stock current value and its past values and can show if there is a momentum factor associated with investing in Computer Modelling Group.
Regressed Prices |
| Timeline |
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
| 0.62 | DELX | DelphX Capital Markets Earnings Call Tomorrow | PairCorr |
Moving against 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.