Ancora Indonesia (Indonesia) Market Value
| OKAS Stock | IDR 96.00 2.00 2.13% |
| Symbol | Ancora |
Ancora Indonesia '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 Ancora Indonesia'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 Ancora Indonesia.
| 04/06/2024 |
| 05/06/2024 |
If you would invest 0.00 in Ancora Indonesia on April 6, 2024 and sell it all today you would earn a total of 0.00 from holding Ancora Indonesia Resources or generate 0.0% return on investment in Ancora Indonesia over 30 days. Ancora Indonesia is related to or competes with Bank Central, Bank Rakyat, Bayan Resources, Bank Mandiri, Astra International, Chandra Asri, and Bank Negara. More
Ancora Indonesia 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 Ancora Indonesia'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 Ancora Indonesia Resources upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.08) | |||
| Maximum Drawdown | 10.65 | |||
| Value At Risk | (3.57) | |||
| Potential Upside | 2.44 |
Ancora Indonesia Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Ancora Indonesia's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Ancora Indonesia's standard deviation. In reality, there are many statistical measures that can use Ancora Indonesia historical prices to predict the future Ancora Indonesia's volatility.| Risk Adjusted Performance | (0.03) | |||
| Jensen Alpha | (0.26) | |||
| Total Risk Alpha | (0.50) | |||
| Treynor Ratio | (0.15) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Ancora Indonesia'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.
Ancora Indonesia Res Backtested Returns
Ancora Indonesia Res secures Sharpe Ratio (or Efficiency) of -0.0097, which signifies that the company had a -0.0097% return per unit of standard deviation over the last 3 months. Ancora Indonesia Resources exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Ancora Indonesia's risk adjusted performance of (0.03), and Mean Deviation of 1.71 to double-check the risk estimate we provide. The firm shows a Beta (market volatility) of 1.2, which signifies 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, Ancora Indonesia will likely underperform. Ancora Indonesia Res has an expected return of -0.0311%. Please make sure to confirm Ancora Indonesia Res coefficient of variation, jensen alpha, treynor ratio, as well as the relationship between the standard deviation and total risk alpha , to decide if Ancora Indonesia Res performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.15 |
Insignificant reverse predictability
Ancora Indonesia Resources has insignificant reverse predictability. Overlapping area represents the amount of predictability between Ancora Indonesia time series from 6th of April 2024 to 21st of April 2024 and 21st of April 2024 to 6th 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 Ancora Indonesia Res price movement. The serial correlation of -0.15 indicates that less than 15.0% of current Ancora Indonesia price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.15 | |
| Spearman Rank Test | 0.1 | |
| Residual Average | 0.0 | |
| Price Variance | 1.84 |
Ancora Indonesia Res lagged returns against current returns
Autocorrelation, which is Ancora Indonesia 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 Ancora Indonesia's stock expected returns. We can calculate the autocorrelation of Ancora Indonesia returns to help us make a trade decision. For example, suppose you find that Ancora Indonesia 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 |
Ancora Indonesia 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 Ancora Indonesia stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Ancora Indonesia stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Ancora Indonesia stock over time.
Current vs Lagged Prices |
| Timeline |
Ancora Indonesia Lagged Returns
When evaluating Ancora Indonesia's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Ancora Indonesia stock have on its future price. Ancora Indonesia 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, Ancora Indonesia autocorrelation shows the relationship between Ancora Indonesia stock current value and its past values and can show if there is a momentum factor associated with investing in Ancora Indonesia Resources.
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 Ancora Indonesia 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, Ancora Indonesia's short interest history, or implied volatility extrapolated from Ancora Indonesia options trading.
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Complementary Tools for Ancora Stock analysis
When running Ancora Indonesia's price analysis, check to measure Ancora Indonesia'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 Ancora Indonesia is operating at the current time. Most of Ancora Indonesia's value examination focuses on studying past and present price action to predict the probability of Ancora Indonesia's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Ancora Indonesia's price. Additionally, you may evaluate how the addition of Ancora Indonesia to your portfolios can decrease your overall portfolio volatility.
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Ancora Indonesia 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.