Pt Astra International Stock Market Value
| PTAIF Stock | USD 0.33 0 0.67% |
| Symbol | PTAIF |
PT Astra '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 Astra's pink sheet 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 Astra.
| 05/24/2022 |
| 05/13/2024 |
If you would invest 0.00 in PT Astra on May 24, 2022 and sell it all today you would earn a total of 0.00 from holding PT Astra International or generate 0.0% return on investment in PT Astra over 720 days. PT Astra is related to or competes with Allison Transmission, Luminar Technologies, Quantumscape Corp, Lear, BorgWarner, Autoliv, and Fox Factory. PT Astra International Tbk, together with its subsidiaries, operates in the automotive, financial services, heavy equipm... More
PT Astra 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 Astra's pink sheet 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 Astra International upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.1) | |||
| Maximum Drawdown | 9.48 | |||
| Value At Risk | (2.86) |
PT Astra Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for PT Astra's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as PT Astra's standard deviation. In reality, there are many statistical measures that can use PT Astra historical prices to predict the future PT Astra's volatility.| Risk Adjusted Performance | (0.02) | |||
| Jensen Alpha | (0.07) | |||
| Total Risk Alpha | (0.28) | |||
| Treynor Ratio | 0.3736 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of PT Astra'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.
PT Astra International Backtested Returns
PT Astra International retains Efficiency (Sharpe Ratio) of -0.0488, which implies the firm had a -0.0488% return per unit of price deviation over the last 3 months. PT Astra exposes twenty different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check PT Astra's market risk adjusted performance of 0.3836, and Information Ratio of (0.1) to confirm the risk estimate we provide. The company owns a Beta (Systematic Risk) of -0.23, which implies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning PT Astra are expected to decrease at a much lower rate. During the bear market, PT Astra is likely to outperform the market. PT Astra International has an expected return of -0.0799%. Please make sure to check PT Astra International coefficient of variation, value at risk, day typical price, as well as the relationship between the information ratio and daily balance of power , to decide if PT Astra International performance from the past will be repeated at some future date.
Auto-correlation | 0.30 |
Below average predictability
PT Astra International has below average predictability. Overlapping area represents the amount of predictability between PT Astra time series from 24th of May 2022 to 19th of May 2023 and 19th of May 2023 to 13th 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 PT Astra International price movement. The serial correlation of 0.3 indicates that nearly 30.0% of current PT Astra price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.3 | |
| Spearman Rank Test | 0.17 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
PT Astra International lagged returns against current returns
Autocorrelation, which is PT Astra pink sheet'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 Astra's pink sheet expected returns. We can calculate the autocorrelation of PT Astra returns to help us make a trade decision. For example, suppose you find that PT Astra has exhibited high autocorrelation historically, and you observe that the pink sheet 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 Astra 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 Astra pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if PT Astra pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in PT Astra pink sheet over time.
Current vs Lagged Prices |
| Timeline |
PT Astra Lagged Returns
When evaluating PT Astra's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of PT Astra pink sheet have on its future price. PT Astra 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 Astra autocorrelation shows the relationship between PT Astra pink sheet current value and its past values and can show if there is a momentum factor associated with investing in PT Astra International.
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 PT Astra 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, PT Astra's short interest history, or implied volatility extrapolated from PT Astra options trading.
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Check out PT Astra Correlation, PT Astra Volatility and PT Astra Alpha and Beta module to complement your research on PT Astra. You can also try the Content Syndication module to quickly integrate customizable finance content to your own investment portal.
Complementary Tools for PTAIF Pink Sheet analysis
When running PT Astra's price analysis, check to measure PT Astra'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 PT Astra is operating at the current time. Most of PT Astra's value examination focuses on studying past and present price action to predict the probability of PT Astra's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move PT Astra's price. Additionally, you may evaluate how the addition of PT Astra to your portfolios can decrease your overall portfolio volatility.
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PT Astra technical pink sheet 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, pink sheet market cycles, or different charting patterns.