Datagroup (UK) Market Value
| 0W19 Stock | 46.60 0.45 0.96% |
| Symbol | Datagroup |
Datagroup '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 Datagroup'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 Datagroup.
| 07/20/2023 |
| 12/11/2024 |
If you would invest 0.00 in Datagroup on July 20, 2023 and sell it all today you would earn a total of 0.00 from holding Datagroup SE or generate 0.0% return on investment in Datagroup over 510 days. Datagroup is related to or competes with Hong Kong, Neometals, Coor Service, Fidelity Sustainable, Surgical Science, Sancus Lending, and SPDR SP. Datagroup is entity of United Kingdom. It is traded as Stock on LSE exchange. More
Datagroup 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 Datagroup'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 Datagroup SE upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.95 | |||
| Information Ratio | 0.0645 | |||
| Maximum Drawdown | 13.9 | |||
| Value At Risk | (3.25) | |||
| Potential Upside | 3.83 |
Datagroup Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Datagroup's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Datagroup's standard deviation. In reality, there are many statistical measures that can use Datagroup historical prices to predict the future Datagroup's volatility.| Risk Adjusted Performance | 0.0907 | |||
| Jensen Alpha | 0.2862 | |||
| Total Risk Alpha | (0.11) | |||
| Sortino Ratio | 0.0802 | |||
| Treynor Ratio | (2.01) |
Datagroup SE Backtested Returns
Datagroup appears to be very steady, given 3 months investment horizon. Datagroup SE 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 Datagroup SE, which you can use to evaluate the volatility of the firm. Please utilize Datagroup's Mean Deviation of 1.64, downside deviation of 1.95, and Coefficient Of Variation of 863.66 to check if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Datagroup holds a performance score of 10. The firm shows a Beta (market volatility) of -0.13, which means not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Datagroup are expected to decrease at a much lower rate. During the bear market, Datagroup is likely to outperform the market. Please check Datagroup's standard deviation, total risk alpha, treynor ratio, as well as the relationship between the jensen alpha and sortino ratio , to make a quick decision on whether Datagroup's price patterns will revert.
Auto-correlation | -0.28 |
Weak reverse predictability
Datagroup SE has weak reverse predictability. Overlapping area represents the amount of predictability between Datagroup time series from 20th of July 2023 to 31st of March 2024 and 31st of March 2024 to 11th 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 Datagroup SE price movement. The serial correlation of -0.28 indicates that nearly 28.0% of current Datagroup price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.28 | |
| Spearman Rank Test | 0.23 | |
| Residual Average | 0.0 | |
| Price Variance | 11.27 |
Datagroup SE lagged returns against current returns
Autocorrelation, which is Datagroup 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 Datagroup's stock expected returns. We can calculate the autocorrelation of Datagroup returns to help us make a trade decision. For example, suppose you find that Datagroup 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 |
Datagroup 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 Datagroup stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Datagroup stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Datagroup stock over time.
Current vs Lagged Prices |
| Timeline |
Datagroup Lagged Returns
When evaluating Datagroup's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Datagroup stock have on its future price. Datagroup 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, Datagroup autocorrelation shows the relationship between Datagroup stock current value and its past values and can show if there is a momentum factor associated with investing in Datagroup SE.
Regressed Prices |
| Timeline |
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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.Additional Tools for Datagroup Stock Analysis
When running Datagroup's price analysis, check to measure Datagroup's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Datagroup is operating at the current time. Most of Datagroup's value examination focuses on studying past and present price action to predict the probability of Datagroup's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Datagroup's price. Additionally, you may evaluate how the addition of Datagroup to your portfolios can decrease your overall portfolio volatility.