Mitra Angkasa (Indonesia) Market Value
| BAUT Stock | 17.00 1.00 6.25% |
| Symbol | Mitra |
Mitra Angkasa '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 Mitra Angkasa'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 Mitra Angkasa.
| 10/31/2024 |
| 11/30/2024 |
If you would invest 0.00 in Mitra Angkasa on October 31, 2024 and sell it all today you would earn a total of 0.00 from holding Mitra Angkasa Sejahtera or generate 0.0% return on investment in Mitra Angkasa over 30 days. Mitra Angkasa is related to or competes with Autopedia Sukses, Net Visi, Adaro Minerals, Caturkarda Depo, and Indo Pureco. More
Mitra Angkasa 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 Mitra Angkasa'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 Mitra Angkasa Sejahtera upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.04) | |||
| Maximum Drawdown | 16.25 | |||
| Value At Risk | (5.88) | |||
| Potential Upside | 6.25 |
Mitra Angkasa Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Mitra Angkasa's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Mitra Angkasa's standard deviation. In reality, there are many statistical measures that can use Mitra Angkasa historical prices to predict the future Mitra Angkasa's volatility.| Risk Adjusted Performance | 0.0043 | |||
| Jensen Alpha | (0.03) | |||
| Total Risk Alpha | (0.65) | |||
| Treynor Ratio | 8.22 |
Mitra Angkasa Sejahtera Backtested Returns
Mitra Angkasa Sejahtera has Sharpe Ratio of -0.1, which conveys that the firm had a -0.1% return per unit of risk over the last 3 months. Mitra Angkasa exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please verify Mitra Angkasa's Standard Deviation of 3.74, risk adjusted performance of 0.0043, and Mean Deviation of 2.31 to check out the risk estimate we provide. The company secures a Beta (Market Risk) of -0.0034, which conveys not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Mitra Angkasa are expected to decrease at a much lower rate. During the bear market, Mitra Angkasa is likely to outperform the market. At this point, Mitra Angkasa Sejahtera has a negative expected return of -0.35%. Please make sure to verify Mitra Angkasa's potential upside, kurtosis, and the relationship between the value at risk and skewness , to decide if Mitra Angkasa Sejahtera performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.72 |
Almost perfect reverse predictability
Mitra Angkasa Sejahtera has almost perfect reverse predictability. Overlapping area represents the amount of predictability between Mitra Angkasa time series from 31st of October 2024 to 15th of November 2024 and 15th of November 2024 to 30th 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 Mitra Angkasa Sejahtera price movement. The serial correlation of -0.72 indicates that around 72.0% of current Mitra Angkasa price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.72 | |
| Spearman Rank Test | -0.46 | |
| Residual Average | 0.0 | |
| Price Variance | 0.38 |
Mitra Angkasa Sejahtera lagged returns against current returns
Autocorrelation, which is Mitra Angkasa 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 Mitra Angkasa's stock expected returns. We can calculate the autocorrelation of Mitra Angkasa returns to help us make a trade decision. For example, suppose you find that Mitra Angkasa 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 |
Mitra Angkasa 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 Mitra Angkasa stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Mitra Angkasa stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Mitra Angkasa stock over time.
Current vs Lagged Prices |
| Timeline |
Mitra Angkasa Lagged Returns
When evaluating Mitra Angkasa's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Mitra Angkasa stock have on its future price. Mitra Angkasa 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, Mitra Angkasa autocorrelation shows the relationship between Mitra Angkasa stock current value and its past values and can show if there is a momentum factor associated with investing in Mitra Angkasa Sejahtera.
Regressed Prices |
| Timeline |
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Mitra Angkasa financial ratios help investors to determine whether Mitra 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 Mitra with respect to the benefits of owning Mitra Angkasa security.