Computer Modelling Group Stock Market Value
| CMDXF Stock | USD 7.33 0.03 0.41% |
| Symbol | Computer |
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 pink sheet 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.
| 11/02/2024 |
| 12/02/2024 |
If you would invest 0.00 in Computer Modelling on November 2, 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 LifeSpeak, RESAAS Services, and RenoWorks Software. 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 pink sheet 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 | (0.19) | |||
| Maximum Drawdown | 15.38 | |||
| Value At Risk | (3.34) | |||
| Potential Upside | 3.42 |
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 | (0.1) | |||
| Jensen Alpha | (0.45) | |||
| Total Risk Alpha | (0.73) | |||
| Treynor Ratio | (0.38) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Computer Modelling's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Computer Modelling Backtested Returns
Computer Modelling secures Sharpe Ratio (or Efficiency) of -0.14, which signifies that the company had a -0.14% 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 1.53, risk adjusted performance of (0.1), and Standard Deviation of 2.38 to double-check the risk estimate we provide. The firm shows a Beta (market volatility) of 0.89, which signifies possible diversification benefits within a given portfolio. Computer Modelling returns are very sensitive to returns on the market. As the market goes up or down, Computer Modelling is expected to follow. At this point, Computer Modelling has a negative expected return of -0.35%. Please make sure to confirm Computer Modelling's kurtosis, and the relationship between the maximum drawdown 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 | -0.19 |
Insignificant reverse predictability
Computer Modelling Group has insignificant reverse predictability. Overlapping area represents the amount of predictability between Computer Modelling time series from 2nd of November 2024 to 17th of November 2024 and 17th of November 2024 to 2nd of December 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 -0.19 indicates that over 19.0% of current Computer Modelling price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.19 | |
| Spearman Rank Test | -0.43 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Computer Modelling lagged returns against current returns
Autocorrelation, which is Computer Modelling pink sheet'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 pink sheet 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 pink sheet 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 pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Computer Modelling pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Computer Modelling pink sheet 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 pink sheet 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 pink sheet 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 |
Currently Active Assets on Macroaxis
Other Information on Investing in Computer Pink Sheet
Computer Modelling financial ratios help investors to determine whether Computer Pink Sheet 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.