PT Data (Indonesia) Market Value
| ELIT Stock | 182.00 4.00 2.15% |
| Symbol | ELIT |
PT 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 PT 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 PT Data.
| 04/25/2025 |
| 07/24/2025 |
If you would invest 0.00 in PT Data on April 25, 2025 and sell it all today you would earn a total of 0.00 from holding PT Data Sinergitama or generate 0.0% return on investment in PT Data over 90 days. PT Data is related to or competes with PT Hetzer, PT Bank, Alumindo Light, Merdeka Copper, Lion Metal, and Dharma Polimetal. More
PT 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 PT 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 PT Data Sinergitama upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.36 | |||
| Information Ratio | (0.01) | |||
| Maximum Drawdown | 18.11 | |||
| Value At Risk | (3.84) | |||
| Potential Upside | 7.02 |
PT Data Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for PT Data's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as PT Data's standard deviation. In reality, there are many statistical measures that can use PT Data historical prices to predict the future PT Data's volatility.| Risk Adjusted Performance | 0.0517 | |||
| Jensen Alpha | 0.0944 | |||
| Total Risk Alpha | (0.64) | |||
| Sortino Ratio | (0.02) | |||
| Treynor Ratio | 0.4952 |
PT Data Sinergitama Backtested Returns
PT Data Sinergitama retains Efficiency (Sharpe Ratio) of close to zero, which implies the firm had a close to zero % return per unit of price deviation over the last 3 months. PT Data exposes twenty-nine different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check PT Data's standard deviation of 3.45, and Market Risk Adjusted Performance of 0.5052 to confirm the risk estimate we provide. The company owns a Beta (Systematic Risk) of 0.33, which implies possible diversification benefits within a given portfolio. As returns on the market increase, PT Data's returns are expected to increase less than the market. However, during the bear market, the loss of holding PT Data is expected to be smaller as well. At this point, PT Data Sinergitama has a negative expected return of -0.0013%. Please make sure to check PT Data's semi deviation, coefficient of variation, and the relationship between the mean deviation and downside deviation , to decide if PT Data Sinergitama performance from the past will be repeated at some future date.
Auto-correlation | 0.29 |
Poor predictability
PT Data Sinergitama has poor predictability. Overlapping area represents the amount of predictability between PT Data time series from 25th of April 2025 to 9th of June 2025 and 9th of June 2025 to 24th 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 PT Data Sinergitama price movement. The serial correlation of 0.29 indicates that nearly 29.0% of current PT Data price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.29 | |
| Spearman Rank Test | 0.23 | |
| Residual Average | 0.0 | |
| Price Variance | 57.18 |
PT Data Sinergitama lagged returns against current returns
Autocorrelation, which is PT 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 PT Data's stock expected returns. We can calculate the autocorrelation of PT Data returns to help us make a trade decision. For example, suppose you find that PT 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 |
PT 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 PT Data stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if PT Data stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in PT Data stock over time.
Current vs Lagged Prices |
| Timeline |
PT Data Lagged Returns
When evaluating PT Data's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of PT Data stock have on its future price. PT 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, PT Data autocorrelation shows the relationship between PT Data stock current value and its past values and can show if there is a momentum factor associated with investing in PT Data Sinergitama.
Regressed Prices |
| Timeline |
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PT Data financial ratios help investors to determine whether ELIT 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 ELIT with respect to the benefits of owning PT Data security.