Pratama Abadi (Indonesia) Market Value
PANI Stock | 14,075 25.00 0.18% |
Symbol | Pratama |
Pratama Abadi '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 Pratama Abadi'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 Pratama Abadi.
07/05/2023 |
| 11/26/2024 |
If you would invest 0.00 in Pratama Abadi on July 5, 2023 and sell it all today you would earn a total of 0.00 from holding Pratama Abadi Nusa or generate 0.0% return on investment in Pratama Abadi over 510 days. Pratama Abadi is related to or competes with Buyung Poetra, Garudafood Putra, Campina Ice, and Wijaya Karya. More
Pratama Abadi 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 Pratama Abadi'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 Pratama Abadi Nusa upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 3.47 | |||
Information Ratio | 0.2871 | |||
Maximum Drawdown | 20.19 | |||
Value At Risk | (5.96) | |||
Potential Upside | 9.28 |
Pratama Abadi Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Pratama Abadi's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Pratama Abadi's standard deviation. In reality, there are many statistical measures that can use Pratama Abadi historical prices to predict the future Pratama Abadi's volatility.Risk Adjusted Performance | 0.249 | |||
Jensen Alpha | 1.29 | |||
Total Risk Alpha | 0.7307 | |||
Sortino Ratio | 0.384 | |||
Treynor Ratio | 1.05 |
Pratama Abadi Nusa Backtested Returns
Pratama Abadi is very steady given 3 months investment horizon. Pratama Abadi Nusa maintains Sharpe Ratio (i.e., Efficiency) of 0.27, which implies the firm had a 0.27% return per unit of risk over the last 3 months. We were able to collect data for twenty-nine different technical indicators, which can help you to evaluate if expected returns of 1.21% are justified by taking the suggested risk. Use Pratama Abadi Semi Deviation of 2.65, risk adjusted performance of 0.249, and Coefficient Of Variation of 317.64 to evaluate company specific risk that cannot be diversified away. Pratama Abadi holds a performance score of 21 on a scale of zero to a hundred. The company holds a Beta of 1.38, which implies a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Pratama Abadi will likely underperform. Use Pratama Abadi mean deviation, downside deviation, standard deviation, as well as the relationship between the semi deviation and coefficient of variation , to analyze future returns on Pratama Abadi.
Auto-correlation | 0.57 |
Modest predictability
Pratama Abadi Nusa has modest predictability. Overlapping area represents the amount of predictability between Pratama Abadi time series from 5th of July 2023 to 16th of March 2024 and 16th of March 2024 to 26th 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 Pratama Abadi Nusa price movement. The serial correlation of 0.57 indicates that roughly 57.0% of current Pratama Abadi price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.57 | |
Spearman Rank Test | 0.63 | |
Residual Average | 0.0 | |
Price Variance | 15.5 M |
Pratama Abadi Nusa lagged returns against current returns
Autocorrelation, which is Pratama Abadi 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 Pratama Abadi's stock expected returns. We can calculate the autocorrelation of Pratama Abadi returns to help us make a trade decision. For example, suppose you find that Pratama Abadi 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 |
Pratama Abadi 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 Pratama Abadi stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Pratama Abadi stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Pratama Abadi stock over time.
Current vs Lagged Prices |
Timeline |
Pratama Abadi Lagged Returns
When evaluating Pratama Abadi's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Pratama Abadi stock have on its future price. Pratama Abadi 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, Pratama Abadi autocorrelation shows the relationship between Pratama Abadi stock current value and its past values and can show if there is a momentum factor associated with investing in Pratama Abadi Nusa.
Regressed Prices |
Timeline |
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Pratama Abadi financial ratios help investors to determine whether Pratama 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 Pratama with respect to the benefits of owning Pratama Abadi security.