Predictive Discovery (Australia) Market Value
| PDI Stock | 0.34 0.01 3.03% |
| Symbol | Predictive |
Predictive Discovery '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 Predictive Discovery'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 Predictive Discovery.
| 12/17/2024 |
| 03/17/2025 |
If you would invest 0.00 in Predictive Discovery on December 17, 2024 and sell it all today you would earn a total of 0.00 from holding Predictive Discovery or generate 0.0% return on investment in Predictive Discovery over 90 days. Predictive Discovery is related to or competes with Clime Investment, Aristocrat Leisure, Navigator Global, and Healthco Healthcare. Predictive Discovery is entity of Australia More
Predictive Discovery 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 Predictive Discovery'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 Predictive Discovery upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 4.88 | |||
| Information Ratio | 0.1643 | |||
| Maximum Drawdown | 19.68 | |||
| Value At Risk | (4.17) | |||
| Potential Upside | 8.0 |
Predictive Discovery Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Predictive Discovery's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Predictive Discovery's standard deviation. In reality, there are many statistical measures that can use Predictive Discovery historical prices to predict the future Predictive Discovery's volatility.| Risk Adjusted Performance | 0.1287 | |||
| Jensen Alpha | 0.4724 | |||
| Total Risk Alpha | 1.02 | |||
| Sortino Ratio | 0.131 | |||
| Treynor Ratio | (0.99) |
Predictive Discovery Backtested Returns
Predictive Discovery appears to be out of control, given 3 months investment horizon. Predictive Discovery maintains Sharpe Ratio (i.e., Efficiency) of 0.18, which implies the firm had a 0.18 % return per unit of risk over the last 3 months. By analyzing Predictive Discovery's technical indicators, you can evaluate if the expected return of 0.72% is justified by implied risk. Please evaluate Predictive Discovery's Coefficient Of Variation of 719.92, semi deviation of 2.75, and Risk Adjusted Performance of 0.1287 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Predictive Discovery holds a performance score of 14. The company holds a Beta of -0.54, which implies possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning Predictive Discovery are expected to decrease at a much lower rate. During the bear market, Predictive Discovery is likely to outperform the market. Please check Predictive Discovery's downside deviation, standard deviation, total risk alpha, as well as the relationship between the coefficient of variation and jensen alpha , to make a quick decision on whether Predictive Discovery's historical price patterns will revert.
Auto-correlation | 0.09 |
Virtually no predictability
Predictive Discovery has virtually no predictability. Overlapping area represents the amount of predictability between Predictive Discovery time series from 17th of December 2024 to 31st of January 2025 and 31st of January 2025 to 17th 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 Predictive Discovery price movement. The serial correlation of 0.09 indicates that less than 9.0% of current Predictive Discovery price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.09 | |
| Spearman Rank Test | 0.02 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Predictive Discovery lagged returns against current returns
Autocorrelation, which is Predictive Discovery 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 Predictive Discovery's stock expected returns. We can calculate the autocorrelation of Predictive Discovery returns to help us make a trade decision. For example, suppose you find that Predictive Discovery 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 |
Predictive Discovery 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 Predictive Discovery stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Predictive Discovery stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Predictive Discovery stock over time.
Current vs Lagged Prices |
| Timeline |
Predictive Discovery Lagged Returns
When evaluating Predictive Discovery's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Predictive Discovery stock have on its future price. Predictive Discovery 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, Predictive Discovery autocorrelation shows the relationship between Predictive Discovery stock current value and its past values and can show if there is a momentum factor associated with investing in Predictive Discovery.
Regressed Prices |
| Timeline |
Thematic Opportunities
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Additional Tools for Predictive Stock Analysis
When running Predictive Discovery's price analysis, check to measure Predictive Discovery'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 Predictive Discovery is operating at the current time. Most of Predictive Discovery's value examination focuses on studying past and present price action to predict the probability of Predictive Discovery's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Predictive Discovery's price. Additionally, you may evaluate how the addition of Predictive Discovery to your portfolios can decrease your overall portfolio volatility.