COMPUTER MODELLING (Germany) Market Value
| 5TJ Stock | EUR 3.80 0.00 0.00% |
| 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 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.
| 06/30/2023 |
| 01/20/2025 |
If you would invest 0.00 in COMPUTER MODELLING on June 30, 2023 and sell it all today you would earn a total of 0.00 from holding COMPUTER MODELLING or generate 0.0% return on investment in COMPUTER MODELLING over 570 days. COMPUTER MODELLING is related to or competes with Reinsurance Group, VIENNA INSURANCE, Take Two, AXWAY SOFTWARE, REVO INSURANCE, and HANOVER INSURANCE. 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 upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.04) | |||
| Maximum Drawdown | 1.33 |
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 | 0.0693 | |||
| Jensen Alpha | 0.0123 | |||
| Total Risk Alpha | 0.0082 | |||
| Treynor Ratio | (3.59) |
COMPUTER MODELLING Backtested Returns
At this point, COMPUTER MODELLING is very steady. COMPUTER MODELLING secures Sharpe Ratio (or Efficiency) of 0.13, which signifies that the company had a 0.13 % return per unit of risk over the last 3 months. We have found sixteen technical indicators for COMPUTER MODELLING, which you can use to evaluate the volatility of the firm. Please confirm COMPUTER MODELLING's risk adjusted performance of 0.0693, and Mean Deviation of 0.0437 to double-check if the risk estimate we provide is consistent with the expected return of 0.0226%. COMPUTER MODELLING has a performance score of 10 on a scale of 0 to 100. The firm shows a Beta (market volatility) of -0.0034, which signifies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning COMPUTER MODELLING are expected to decrease at a much lower rate. During the bear market, COMPUTER MODELLING is likely to outperform the market. COMPUTER MODELLING now shows a risk of 0.17%. Please confirm COMPUTER MODELLING information ratio, maximum drawdown, and the relationship between the variance and treynor ratio , to decide if COMPUTER MODELLING will be following its price patterns.
Auto-correlation | 0.95 |
Excellent predictability
COMPUTER MODELLING has excellent predictability. Overlapping area represents the amount of predictability between COMPUTER MODELLING time series from 30th of June 2023 to 10th of April 2024 and 10th of April 2024 to 20th of January 2025. 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 0.95 indicates that approximately 95.0% of current COMPUTER MODELLING price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.95 | |
| Spearman Rank Test | 1.0 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
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.
Regressed Prices |
| Timeline |
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.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.