Data Communications Management Stock Market Value
| DCMDF Stock | USD 1.42 0.07 5.19% |
| Symbol | DATA |
DATA Communications '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 DATA Communications' otc 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 DATA Communications.
| 05/30/2024 |
| 11/26/2024 |
If you would invest 0.00 in DATA Communications on May 30, 2024 and sell it all today you would earn a total of 0.00 from holding DATA Communications Management or generate 0.0% return on investment in DATA Communications over 180 days. DATA Communications is related to or competes with Dexterra, Intertek Group, Mitie Group, and Teleperformance. DATA Communications Management Corp. provides marketing and workflow solutions that solve the complex branding, communic... More
DATA Communications 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 DATA Communications' otc 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 DATA Communications Management upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.12) | |||
| Maximum Drawdown | 43.32 | |||
| Value At Risk | (4.00) | |||
| Potential Upside | 5.19 |
DATA Communications Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for DATA Communications' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as DATA Communications' standard deviation. In reality, there are many statistical measures that can use DATA Communications historical prices to predict the future DATA Communications' volatility.| Risk Adjusted Performance | (0.07) | |||
| Jensen Alpha | (0.61) | |||
| Total Risk Alpha | (1.26) | |||
| Treynor Ratio | (0.48) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of DATA Communications' 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.
DATA Communications Backtested Returns
DATA Communications secures Sharpe Ratio (or Efficiency) of -0.12, which denotes the company had a -0.12% return per unit of volatility over the last 3 months. DATA Communications Management exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm DATA Communications' Market Risk Adjusted Performance of (0.47), standard deviation of 4.93, and Mean Deviation of 2.28 to check the risk estimate we provide. The firm shows a Beta (market volatility) of 1.02, which means a somewhat significant risk relative to the market. DATA Communications returns are very sensitive to returns on the market. As the market goes up or down, DATA Communications is expected to follow. At this point, DATA Communications has a negative expected return of -0.57%. Please make sure to confirm DATA Communications' accumulation distribution, and the relationship between the potential upside and day median price , to decide if DATA Communications performance from the past will be repeated in the future.
Auto-correlation | -0.33 |
Poor reverse predictability
DATA Communications Management has poor reverse predictability. Overlapping area represents the amount of predictability between DATA Communications time series from 30th of May 2024 to 28th of August 2024 and 28th of August 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 DATA Communications price movement. The serial correlation of -0.33 indicates that nearly 33.0% of current DATA Communications price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.33 | |
| Spearman Rank Test | 0.05 | |
| Residual Average | 0.0 | |
| Price Variance | 0.07 |
DATA Communications lagged returns against current returns
Autocorrelation, which is DATA Communications otc 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 DATA Communications' otc stock expected returns. We can calculate the autocorrelation of DATA Communications returns to help us make a trade decision. For example, suppose you find that DATA Communications has exhibited high autocorrelation historically, and you observe that the otc 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 |
DATA Communications 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 DATA Communications otc stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if DATA Communications otc stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in DATA Communications otc stock over time.
Current vs Lagged Prices |
| Timeline |
DATA Communications Lagged Returns
When evaluating DATA Communications' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of DATA Communications otc stock have on its future price. DATA Communications 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, DATA Communications autocorrelation shows the relationship between DATA Communications otc stock current value and its past values and can show if there is a momentum factor associated with investing in DATA Communications Management.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in DATA OTC Stock
DATA Communications financial ratios help investors to determine whether DATA OTC 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 DATA with respect to the benefits of owning DATA Communications security.