Bank Mandiri Pink Sheet Forecast - 4 Period Moving Average

PPERY Stock  USD 15.64  0.21  1.36%   
The 4 Period Moving Average forecasted value of Bank Mandiri Persero on the next trading day is expected to be 15.62 with a mean absolute deviation of 0.33 and the sum of the absolute errors of 18.74. Bank Pink Sheet Forecast is based on your current time horizon.
  
A four-period moving average forecast model for Bank Mandiri Persero is based on an artificially constructed daily price series in which the value for a given day is replaced by the mean of that value and the values for four preceding and succeeding time periods. This model is best suited to forecast equities with high volatility.

Bank Mandiri 4 Period Moving Average Price Forecast For the 23rd of November

Given 90 days horizon, the 4 Period Moving Average forecasted value of Bank Mandiri Persero on the next trading day is expected to be 15.62 with a mean absolute deviation of 0.33, mean absolute percentage error of 0.15, and the sum of the absolute errors of 18.74.
Please note that although there have been many attempts to predict Bank Pink Sheet 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 Bank Mandiri's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Bank Mandiri Pink Sheet Forecast Pattern

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Bank Mandiri Forecasted Value

In the context of forecasting Bank Mandiri's Pink Sheet 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. Bank Mandiri's downside and upside margins for the forecasting period are 13.91 and 17.32, respectively. We have considered Bank Mandiri'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.
Market Value
15.64
15.62
Expected Value
17.32
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the 4 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of Bank Mandiri pink sheet data series using in forecasting. Note that when a statistical model is used to represent Bank Mandiri pink sheet, 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.
AICAkaike Information Criteria108.8598
BiasArithmetic mean of the errors 0.1114
MADMean absolute deviation0.3288
MAPEMean absolute percentage error0.0186
SAESum of the absolute errors18.74
The four period moving average method has an advantage over other forecasting models in that it does smooth out peaks and troughs in a set of daily price observations of Bank Mandiri. However, it also has several disadvantages. In particular this model does not produce an actual prediction equation for Bank Mandiri Persero and therefore, it cannot be a useful forecasting tool for medium or long range price predictions

Predictive Modules for Bank Mandiri

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Bank Mandiri Persero. Regardless of method or technology, however, to accurately forecast the pink sheet market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the pink sheet 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.
Hype
Prediction
LowEstimatedHigh
13.9415.6417.34
Details
Intrinsic
Valuation
LowRealHigh
14.9316.6218.33
Details
Bollinger
Band Projection (param)
LowMiddleHigh
15.0716.7918.51
Details

Other Forecasting Options for Bank Mandiri

For every potential investor in Bank, whether a beginner or expert, Bank Mandiri's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Bank Pink Sheet price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Bank. Basic forecasting techniques help filter out the noise by identifying Bank Mandiri's price trends.

Bank Mandiri 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 Bank Mandiri pink sheet to make a market-neutral strategy. Peer analysis of Bank Mandiri could also be used in its relative valuation, which is a method of valuing Bank Mandiri by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

Bank Mandiri Persero Technical and Predictive Analytics

The pink sheet market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Bank Mandiri'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 Bank Mandiri's current price.

Bank Mandiri Market Strength Events

Market strength indicators help investors to evaluate how Bank Mandiri pink sheet reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Bank Mandiri shares will generate the highest return on investment. By undertsting and applying Bank Mandiri pink sheet market strength indicators, traders can identify Bank Mandiri Persero entry and exit signals to maximize returns.

Bank Mandiri Risk Indicators

The analysis of Bank Mandiri'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 Bank Mandiri's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting bank pink sheet 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.
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.

Also Currently Popular

Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.

Additional Tools for Bank Pink Sheet Analysis

When running Bank Mandiri's price analysis, check to measure Bank Mandiri'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 Bank Mandiri is operating at the current time. Most of Bank Mandiri's value examination focuses on studying past and present price action to predict the probability of Bank Mandiri's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Bank Mandiri's price. Additionally, you may evaluate how the addition of Bank Mandiri to your portfolios can decrease your overall portfolio volatility.