DOCDATA (Germany) Market Value
DOC2 Stock | EUR 0.36 0.01 2.86% |
Symbol | DOCDATA |
DOCDATA '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 DOCDATA'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 DOCDATA.
12/16/2024 |
| 03/16/2025 |
If you would invest 0.00 in DOCDATA on December 16, 2024 and sell it all today you would earn a total of 0.00 from holding DOCDATA or generate 0.0% return on investment in DOCDATA over 90 days. DOCDATA is related to or competes with Iridium Communications, INTERSHOP Communications, SOEDER SPORTFISKE, Gaztransport Technigaz, Micron Technology, Columbia Sportswear, and Ribbon Communications. More
DOCDATA 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 DOCDATA'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 DOCDATA upside and downside potential and time the market with a certain degree of confidence.
Information Ratio | (0.02) | |||
Maximum Drawdown | 11.27 | |||
Value At Risk | (5.41) | |||
Potential Upside | 5.0 |
DOCDATA Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for DOCDATA's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as DOCDATA's standard deviation. In reality, there are many statistical measures that can use DOCDATA historical prices to predict the future DOCDATA's volatility.Risk Adjusted Performance | (0.04) | |||
Jensen Alpha | (0.18) | |||
Total Risk Alpha | 0.1769 | |||
Treynor Ratio | 2.69 |
DOCDATA Backtested Returns
DOCDATA retains Efficiency (Sharpe Ratio) of -0.0842, which denotes the company had a -0.0842 % return per unit of risk over the last 3 months. DOCDATA exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm DOCDATA's Market Risk Adjusted Performance of 2.7, standard deviation of 2.76, and Variance of 7.63 to check the risk estimate we provide. The firm owns a Beta (Systematic Risk) of -0.0628, which means not very significant fluctuations relative to the market. As returns on the market increase, returns on owning DOCDATA are expected to decrease at a much lower rate. During the bear market, DOCDATA is likely to outperform the market. At this point, DOCDATA has a negative expected return of -0.22%. Please make sure to confirm DOCDATA's mean deviation, standard deviation, information ratio, as well as the relationship between the coefficient of variation and variance , to decide if DOCDATA performance from the past will be repeated in the future.
Auto-correlation | 0.26 |
Poor predictability
DOCDATA has poor predictability. Overlapping area represents the amount of predictability between DOCDATA time series from 16th of December 2024 to 30th of January 2025 and 30th of January 2025 to 16th of March 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 DOCDATA price movement. The serial correlation of 0.26 indicates that nearly 26.0% of current DOCDATA price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.26 | |
Spearman Rank Test | -0.02 | |
Residual Average | 0.0 | |
Price Variance | 0.0 |
DOCDATA lagged returns against current returns
Autocorrelation, which is DOCDATA 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 DOCDATA's stock expected returns. We can calculate the autocorrelation of DOCDATA returns to help us make a trade decision. For example, suppose you find that DOCDATA 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 |
DOCDATA 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 DOCDATA stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if DOCDATA stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in DOCDATA stock over time.
Current vs Lagged Prices |
Timeline |
DOCDATA Lagged Returns
When evaluating DOCDATA's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of DOCDATA stock have on its future price. DOCDATA 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, DOCDATA autocorrelation shows the relationship between DOCDATA stock current value and its past values and can show if there is a momentum factor associated with investing in DOCDATA.
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 DOCDATA Stock
DOCDATA financial ratios help investors to determine whether DOCDATA 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 DOCDATA with respect to the benefits of owning DOCDATA security.