Dataworks (Australia) Market Value
| DWG Stock | 0.08 0.01 5.88% |
| Symbol | Dataworks |
Dataworks '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 Dataworks' 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 Dataworks.
| 04/21/2025 |
| 07/20/2025 |
If you would invest 0.00 in Dataworks on April 21, 2025 and sell it all today you would earn a total of 0.00 from holding Dataworks Group or generate 0.0% return on investment in Dataworks over 90 days. Dataworks is related to or competes with MAC Copper, Catalyst Metals, and Computershare. Dataworks is entity of Australia. It is traded as Stock on AU exchange. More
Dataworks 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 Dataworks' 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 Dataworks Group upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.25) | |||
| Maximum Drawdown | 32.65 | |||
| Value At Risk | (10.00) | |||
| Potential Upside | 5.88 |
Dataworks Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Dataworks' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Dataworks' standard deviation. In reality, there are many statistical measures that can use Dataworks historical prices to predict the future Dataworks' volatility.| Risk Adjusted Performance | (0.20) | |||
| Jensen Alpha | (1.05) | |||
| Total Risk Alpha | (1.80) | |||
| Treynor Ratio | 2.46 |
Dataworks Group Backtested Returns
Dataworks Group secures Sharpe Ratio (or Efficiency) of -0.24, which denotes the company had a -0.24 % return per unit of risk over the last 3 months. Dataworks Group exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Dataworks' Mean Deviation of 3.11, variance of 23.91, and Standard Deviation of 4.89 to check the risk estimate we provide. The firm shows a Beta (market volatility) of -0.45, which means possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning Dataworks are expected to decrease at a much lower rate. During the bear market, Dataworks is likely to outperform the market. At this point, Dataworks Group has a negative expected return of -1.16%. Please make sure to confirm Dataworks' potential upside, kurtosis, and the relationship between the maximum drawdown and skewness , to decide if Dataworks Group performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.62 |
Good predictability
Dataworks Group has good predictability. Overlapping area represents the amount of predictability between Dataworks time series from 21st of April 2025 to 5th of June 2025 and 5th of June 2025 to 20th of July 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 Dataworks Group price movement. The serial correlation of 0.62 indicates that roughly 62.0% of current Dataworks price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.62 | |
| Spearman Rank Test | 0.46 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Dataworks Group lagged returns against current returns
Autocorrelation, which is Dataworks 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 Dataworks' stock expected returns. We can calculate the autocorrelation of Dataworks returns to help us make a trade decision. For example, suppose you find that Dataworks 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 |
Dataworks 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 Dataworks stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Dataworks stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Dataworks stock over time.
Current vs Lagged Prices |
| Timeline |
Dataworks Lagged Returns
When evaluating Dataworks' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Dataworks stock have on its future price. Dataworks 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, Dataworks autocorrelation shows the relationship between Dataworks stock current value and its past values and can show if there is a momentum factor associated with investing in Dataworks Group.
Regressed Prices |
| Timeline |
Thematic Opportunities
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Additional Tools for Dataworks Stock Analysis
When running Dataworks' price analysis, check to measure Dataworks' 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 Dataworks is operating at the current time. Most of Dataworks' value examination focuses on studying past and present price action to predict the probability of Dataworks' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Dataworks' price. Additionally, you may evaluate how the addition of Dataworks to your portfolios can decrease your overall portfolio volatility.