Dataproces Group (Denmark) Market Value
| DATA Stock | DKK 6.40 0.25 4.07% |
| Symbol | Dataproces |
Dataproces Group '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 Dataproces Group'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 Dataproces Group.
| 01/28/2025 |
| 02/27/2025 |
If you would invest 0.00 in Dataproces Group on January 28, 2025 and sell it all today you would earn a total of 0.00 from holding Dataproces Group AS or generate 0.0% return on investment in Dataproces Group over 30 days. Dataproces Group is related to or competes with Penneo AS, Bactiquant, CBrain AS, and FOM Technologies. Dataproces Group AS provides IT and consulting services for municipalities and their digital administration More
Dataproces Group 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 Dataproces Group'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 Dataproces Group AS upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.82 | |||
| Information Ratio | 0.0539 | |||
| Maximum Drawdown | 7.83 | |||
| Value At Risk | (2.52) | |||
| Potential Upside | 3.45 |
Dataproces Group Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Dataproces Group's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Dataproces Group's standard deviation. In reality, there are many statistical measures that can use Dataproces Group historical prices to predict the future Dataproces Group's volatility.| Risk Adjusted Performance | 0.047 | |||
| Jensen Alpha | 0.0922 | |||
| Total Risk Alpha | 0.1073 | |||
| Sortino Ratio | 0.0536 | |||
| Treynor Ratio | 0.7477 |
Dataproces Group Backtested Returns
Dataproces Group appears to be somewhat reliable, given 3 months investment horizon. Dataproces Group secures Sharpe Ratio (or Efficiency) of 0.13, which denotes the company had a 0.13 % return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Dataproces Group AS, which you can use to evaluate the volatility of the firm. Please utilize Dataproces Group's Mean Deviation of 1.34, downside deviation of 1.82, and Coefficient Of Variation of 1791.15 to check if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Dataproces Group holds a performance score of 10. The firm shows a Beta (market volatility) of 0.12, which means not very significant fluctuations relative to the market. As returns on the market increase, Dataproces Group's returns are expected to increase less than the market. However, during the bear market, the loss of holding Dataproces Group is expected to be smaller as well. Please check Dataproces Group's total risk alpha, treynor ratio, value at risk, as well as the relationship between the sortino ratio and maximum drawdown , to make a quick decision on whether Dataproces Group's price patterns will revert.
Auto-correlation | 0.61 |
Good predictability
Dataproces Group AS has good predictability. Overlapping area represents the amount of predictability between Dataproces Group time series from 28th of January 2025 to 12th of February 2025 and 12th of February 2025 to 27th of February 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 Dataproces Group price movement. The serial correlation of 0.61 indicates that roughly 61.0% of current Dataproces Group price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.61 | |
| Spearman Rank Test | 0.4 | |
| Residual Average | 0.0 | |
| Price Variance | 0.02 |
Dataproces Group lagged returns against current returns
Autocorrelation, which is Dataproces Group 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 Dataproces Group's stock expected returns. We can calculate the autocorrelation of Dataproces Group returns to help us make a trade decision. For example, suppose you find that Dataproces Group 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 |
Dataproces Group 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 Dataproces Group stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Dataproces Group stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Dataproces Group stock over time.
Current vs Lagged Prices |
| Timeline |
Dataproces Group Lagged Returns
When evaluating Dataproces Group's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Dataproces Group stock have on its future price. Dataproces Group 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, Dataproces Group autocorrelation shows the relationship between Dataproces Group stock current value and its past values and can show if there is a momentum factor associated with investing in Dataproces Group AS.
Regressed Prices |
| Timeline |
Pair Trading with Dataproces Group
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 Dataproces Group 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 Dataproces Group will appreciate offsetting losses from the drop in the long position's value.Moving against Dataproces Stock
The ability to find closely correlated positions to Dataproces Group could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Dataproces Group 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 Dataproces Group - 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 Dataproces Group AS to buy it.
The correlation of Dataproces Group 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 Dataproces Group moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Dataproces Group 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 Dataproces Group 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 Dataproces Stock
Dataproces Group financial ratios help investors to determine whether Dataproces 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 Dataproces with respect to the benefits of owning Dataproces Group security.