Bank Mandiri Pink Sheet Forecast - Polynomial Regression

PPERF Stock  USD 0.37  0.0004  0.11%   
The Polynomial Regression forecasted value of Bank Mandiri Persero on the next trading day is expected to be 0.36 with a mean absolute deviation of 0.01 and the sum of the absolute errors of 0.89. Bank Pink Sheet Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Bank Mandiri stock prices and determine the direction of Bank Mandiri Persero's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Bank Mandiri's historical fundamentals, such as revenue growth or operating cash flow patterns.
Check out Historical Fundamental Analysis of Bank Mandiri to cross-verify your projections.
  
Most investors in Bank Mandiri 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 Bank Mandiri's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Bank Mandiri's price structures and extracts relationships that further increase the generated results' accuracy.
Bank Mandiri polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Bank Mandiri Persero as well as the accuracy indicators are determined from the period prices.

Bank Mandiri Polynomial Regression Price Forecast For the 6th of June

Given 90 days horizon, the Polynomial Regression forecasted value of Bank Mandiri Persero on the next trading day is expected to be 0.36 with a mean absolute deviation of 0.01, mean absolute percentage error of 0.0003, and the sum of the absolute errors of 0.89.
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 0 and 4.49, 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
0.37
0.36
Expected Value
4.49
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Polynomial Regression 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 Criteria110.0367
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0146
MAPEMean absolute percentage error0.0349
SAESum of the absolute errors0.8895
A single variable polynomial regression model attempts to put a curve through the Bank Mandiri historical price points. Mathematically, assuming the independent variable is X and the dependent variable is Y, this line can be indicated as: Y = a0 + a1*X + a2*X2 + a3*X3 + ... + am*Xm

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.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Bank Mandiri'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.
Hype
Prediction
LowEstimatedHigh
0.020.374.46
Details
Intrinsic
Valuation
LowRealHigh
0.020.334.42
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.

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Other Information on Investing in Bank Pink Sheet

Bank Mandiri financial ratios help investors to determine whether Bank Pink Sheet 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 Bank with respect to the benefits of owning Bank Mandiri security.