Asuransi Bina Stock Forecast - 20 Period Moving Average
| ABDA Stock | IDR 5,000 0.00 0.00% |
The 20 Period Moving Average forecasted value of Asuransi Bina Dana on the next trading day is expected to be 5,000 with a mean absolute deviation of 47.56 and the sum of the absolute errors of 1,950. Asuransi Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Asuransi Bina stock prices and determine the direction of Asuransi Bina Dana's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Asuransi Bina's historical fundamentals, such as revenue growth or operating cash flow patterns.
Check out Historical Fundamental Analysis of Asuransi Bina to cross-verify your projections. Asuransi |
Most investors in Asuransi Bina cannot accurately predict what will happen the next trading day because, historically, stock markets tend to be unpredictable and even illogical. Modeling turbulent structures requires applying different statistical methods, techniques, and algorithms to find hidden data structures or patterns within the Asuransi Bina's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Asuransi Bina's price structures and extracts relationships that further increase the generated results' accuracy.
A commonly used 20-period moving average forecast model for Asuransi Bina Dana is based on a synthetically constructed Asuransi Binadaily price series in which the value for a trading day is replaced by the mean of that value and the values for 20 of preceding and succeeding time periods. This model is best suited for price series data that changes over time. Asuransi Bina 20 Period Moving Average Price Forecast For the 18th of May 2024
Given 90 days horizon, the 20 Period Moving Average forecasted value of Asuransi Bina Dana on the next trading day is expected to be 5,000 with a mean absolute deviation of 47.56, mean absolute percentage error of 9,909, and the sum of the absolute errors of 1,950.Please note that although there have been many attempts to predict Asuransi Stock prices using its time series forecasting, we generally do not recommend using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Asuransi Bina's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Asuransi Bina Stock Forecast Pattern
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Asuransi Bina Forecasted Value
In the context of forecasting Asuransi Bina's Stock value on the next trading day, we examine the predictive performance of the model to find good statistically significant boundaries of downside and upside scenarios. Asuransi Bina's downside and upside margins for the forecasting period are 4,999 and 5,001, respectively. We have considered Asuransi Bina's daily market price to evaluate the above model's predictive performance. Remember, however, there is no scientific proof or empirical evidence that traditional linear or nonlinear forecasting models outperform artificial intelligence and frequency domain models to provide accurate forecasts consistently.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the 20 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of Asuransi Bina stock data series using in forecasting. Note that when a statistical model is used to represent Asuransi Bina stock, the representation will rarely be exact; so some information will be lost using the model to explain the process. AIC estimates the relative amount of information lost by a given model: the less information a model loses, the higher its quality.| AIC | Akaike Information Criteria | 90.5541 |
| Bias | Arithmetic mean of the errors | 47.561 |
| MAD | Mean absolute deviation | 47.561 |
| MAPE | Mean absolute percentage error | 0.0095 |
| SAE | Sum of the absolute errors | 1950.0 |
Predictive Modules for Asuransi Bina
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Asuransi Bina Dana. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Asuransi Bina'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.
Other Forecasting Options for Asuransi Bina
For every potential investor in Asuransi, whether a beginner or expert, Asuransi Bina's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Asuransi Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Asuransi. Basic forecasting techniques help filter out the noise by identifying Asuransi Bina's price trends.Asuransi Bina Related Equities
One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with Asuransi Bina stock to make a market-neutral strategy. Peer analysis of Asuransi Bina could also be used in its relative valuation, which is a method of valuing Asuransi Bina by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Asuransi Bina Dana Technical and Predictive Analytics
The stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Asuransi Bina's price movements, a comprehensive understanding of forecasting methods that an investor can rely on to make the right move is invaluable. These methods predict trends that assist an investor in predicting the movement of Asuransi Bina's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Asuransi Bina Market Strength Events
Market strength indicators help investors to evaluate how Asuransi Bina stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Asuransi Bina shares will generate the highest return on investment. By undertsting and applying Asuransi Bina stock market strength indicators, traders can identify Asuransi Bina Dana entry and exit signals to maximize returns.
| Rate Of Daily Change | 1.0 | |||
| Day Median Price | 5000.0 | |||
| Day Typical Price | 5000.0 |
Asuransi Bina Risk Indicators
The analysis of Asuransi Bina's basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in Asuransi Bina's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting asuransi stock prices, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
| Mean Deviation | 0.2713 | |||
| Standard Deviation | 1.12 | |||
| Variance | 1.25 |
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.
Becoming a Better Investor with Macroaxis
Macroaxis puts the power of mathematics on your side. We analyze your portfolios and positions such as Asuransi Bina Dana using complex mathematical models and algorithms, but make them easy to understand. There is no real person involved in your portfolio analysis. We perform a number of calculations to compute absolute and relative portfolio volatility, correlation between your assets, value at risk, expected return as well as over 100 different fundamental and technical indicators.Build Optimal Portfolios
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Check out Historical Fundamental Analysis of Asuransi Bina to cross-verify your projections. You can also try the Options Analysis module to analyze and evaluate options and option chains as a potential hedge for your portfolios.
Complementary Tools for Asuransi Stock analysis
When running Asuransi Bina's price analysis, check to measure Asuransi Bina'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 Asuransi Bina is operating at the current time. Most of Asuransi Bina's value examination focuses on studying past and present price action to predict the probability of Asuransi Bina's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Asuransi Bina's price. Additionally, you may evaluate how the addition of Asuransi Bina to your portfolios can decrease your overall portfolio volatility.
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