Pratama Abadi (Indonesia) Market Value
| PANI Stock | 4,740 190.00 3.85% |
| 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.
| 04/02/2024 |
| 05/02/2024 |
If you would invest 0.00 in Pratama Abadi on April 2, 2024 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 30 days. Pratama Abadi is related to or competes with Garudafood Putra, Prima Cakrawala, Mahkota Group, MNC Studios, and Sekar Bumi. 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.
| Information Ratio | (0.04) | |||
| Maximum Drawdown | 12.83 | |||
| Value At Risk | (4.07) | |||
| Potential Upside | 3.77 |
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 | (0.01) | |||
| Jensen Alpha | (0.04) | |||
| Total Risk Alpha | (0.24) | |||
| Treynor Ratio | 0.1409 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Pratama Abadi's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Pratama Abadi Nusa Backtested Returns
Pratama Abadi Nusa maintains Sharpe Ratio (i.e., Efficiency) of -0.0213, which implies the firm had a -0.0213% return per unit of risk over the last 3 months. Pratama Abadi Nusa exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check Pratama Abadi's Variance of 6.23, coefficient of variation of (4,705), and Risk Adjusted Performance of (0.01) to confirm the risk estimate we provide. The company holds a Beta of -0.45, which implies possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning Pratama Abadi are expected to decrease at a much lower rate. During the bear market, Pratama Abadi is likely to outperform the market. Pratama Abadi Nusa has an expected return of -0.053%. Please make sure to check Pratama Abadi Nusa mean deviation, standard deviation, total risk alpha, as well as the relationship between the coefficient of variation and jensen alpha , to decide if Pratama Abadi Nusa performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.09 |
Very weak reverse predictability
Pratama Abadi Nusa has very weak reverse predictability. Overlapping area represents the amount of predictability between Pratama Abadi time series from 2nd of April 2024 to 17th of April 2024 and 17th of April 2024 to 2nd of May 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 -0.09 indicates that less than 9.0% of current Pratama Abadi price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.09 | |
| Spearman Rank Test | -0.77 | |
| Residual Average | 0.0 | |
| Price Variance | 7847.22 |
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 |
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Pratama Abadi in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Pratama Abadi's short interest history, or implied volatility extrapolated from Pratama Abadi options trading.
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Check out Pratama Abadi Correlation, Pratama Abadi Volatility and Pratama Abadi Alpha and Beta module to complement your research on Pratama Abadi. You can also try the Portfolio Diagnostics module to use generated alerts and portfolio events aggregator to diagnose current holdings.
Complementary Tools for Pratama Stock analysis
When running Pratama Abadi's price analysis, check to measure Pratama Abadi'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 Pratama Abadi is operating at the current time. Most of Pratama Abadi's value examination focuses on studying past and present price action to predict the probability of Pratama Abadi's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Pratama Abadi's price. Additionally, you may evaluate how the addition of Pratama Abadi to your portfolios can decrease your overall portfolio volatility.
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Pratama Abadi technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.