Global Data (Australia) Market Value
| GDC Stock | 1.43 0.01 0.70% |
| Symbol | Global |
Global Data '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 Global Data'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 Global Data.
| 10/31/2024 |
| 11/30/2024 |
If you would invest 0.00 in Global Data on October 31, 2024 and sell it all today you would earn a total of 0.00 from holding Global Data Centre or generate 0.0% return on investment in Global Data over 30 days. Global Data is related to or competes with WA1 Resources, Predictive Discovery, and Zip Co. Global Data is entity of Australia. It is traded as Stock on AU exchange. More
Global Data 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 Global Data'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 Global Data Centre upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.06) | |||
| Maximum Drawdown | 80.36 | |||
| Value At Risk | (0.88) | |||
| Potential Upside | 1.76 |
Global Data Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Global Data's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Global Data's standard deviation. In reality, there are many statistical measures that can use Global Data historical prices to predict the future Global Data's volatility.| Risk Adjusted Performance | (0.02) | |||
| Jensen Alpha | (0.42) | |||
| Total Risk Alpha | (1.76) | |||
| Treynor Ratio | (1.01) |
Global Data Centre Backtested Returns
Global Data Centre holds Efficiency (Sharpe) Ratio of -0.0428, which attests that the entity had a -0.0428% return per unit of risk over the last 3 months. Global Data Centre exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out Global Data's Market Risk Adjusted Performance of (1.00), standard deviation of 8.27, and Risk Adjusted Performance of (0.02) to validate the risk estimate we provide. The company retains a Market Volatility (i.e., Beta) of 0.37, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, Global Data's returns are expected to increase less than the market. However, during the bear market, the loss of holding Global Data is expected to be smaller as well. At this point, Global Data Centre has a negative expected return of -0.36%. Please make sure to check out Global Data's total risk alpha, maximum drawdown, skewness, as well as the relationship between the treynor ratio and potential upside , to decide if Global Data Centre performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.33 |
Poor reverse predictability
Global Data Centre has poor reverse predictability. Overlapping area represents the amount of predictability between Global Data time series from 31st of October 2024 to 15th of November 2024 and 15th of November 2024 to 30th 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 Global Data Centre price movement. The serial correlation of -0.33 indicates that nearly 33.0% of current Global Data price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.33 | |
| Spearman Rank Test | -0.2 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Global Data Centre lagged returns against current returns
Autocorrelation, which is Global Data 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 Global Data's stock expected returns. We can calculate the autocorrelation of Global Data returns to help us make a trade decision. For example, suppose you find that Global Data 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 |
Global Data 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 Global Data stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Global Data stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Global Data stock over time.
Current vs Lagged Prices |
| Timeline |
Global Data Lagged Returns
When evaluating Global Data's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Global Data stock have on its future price. Global Data 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, Global Data autocorrelation shows the relationship between Global Data stock current value and its past values and can show if there is a momentum factor associated with investing in Global Data Centre.
Regressed Prices |
| Timeline |
Thematic Opportunities
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Additional Tools for Global Stock Analysis
When running Global Data's price analysis, check to measure Global Data'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 Global Data is operating at the current time. Most of Global Data's value examination focuses on studying past and present price action to predict the probability of Global Data's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Global Data's price. Additionally, you may evaluate how the addition of Global Data to your portfolios can decrease your overall portfolio volatility.