Bank Rakyat Pink Sheet Forecast - Simple Moving Average

BKRKY Stock  USD 13.77  0.18  1.29%   
The Simple Moving Average forecasted value of Bank Rakyat on the next trading day is expected to be 13.77 with a mean absolute deviation of 0.25 and the sum of the absolute errors of 14.75. Bank Pink Sheet Forecast is based on your current time horizon.
  
A two period moving average forecast for Bank Rakyat is based on an daily price series in which the stock price on a given day is replaced by the mean of that price and the preceding price. This model is best suited to price patterns experiencing average volatility.

Bank Rakyat Simple Moving Average Price Forecast For the 28th of November

Given 90 days horizon, the Simple Moving Average forecasted value of Bank Rakyat on the next trading day is expected to be 13.77 with a mean absolute deviation of 0.25, mean absolute percentage error of 0.1, and the sum of the absolute errors of 14.75.
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 Rakyat's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Bank Rakyat Pink Sheet Forecast Pattern

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Bank Rakyat Forecasted Value

In the context of forecasting Bank Rakyat'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 Rakyat's downside and upside margins for the forecasting period are 12.01 and 15.53, respectively. We have considered Bank Rakyat'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
13.77
13.77
Expected Value
15.53
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Simple Moving Average forecasting method's relative quality and the estimations of the prediction error of Bank Rakyat pink sheet data series using in forecasting. Note that when a statistical model is used to represent Bank Rakyat 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 Criteria113.9211
BiasArithmetic mean of the errors 0.0645
MADMean absolute deviation0.2458
MAPEMean absolute percentage error0.0159
SAESum of the absolute errors14.75
The simple moving average model is conceptually a linear regression of the current value of Bank Rakyat price series against current and previous (unobserved) value of Bank Rakyat. In time series analysis, the simple moving-average model is a very common approach for modeling univariate price series models including forecasting prices into the future

Predictive Modules for Bank Rakyat

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 Rakyat. 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
12.0113.7715.53
Details
Intrinsic
Valuation
LowRealHigh
11.3213.0814.84
Details

Other Forecasting Options for Bank Rakyat

For every potential investor in Bank, whether a beginner or expert, Bank Rakyat'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 Rakyat's price trends.

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

Bank Rakyat 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 Rakyat'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 Rakyat's current price.

Bank Rakyat Market Strength Events

Market strength indicators help investors to evaluate how Bank Rakyat 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 Rakyat shares will generate the highest return on investment. By undertsting and applying Bank Rakyat pink sheet market strength indicators, traders can identify Bank Rakyat entry and exit signals to maximize returns.

Bank Rakyat Risk Indicators

The analysis of Bank Rakyat'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 Rakyat'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 Rakyat's price analysis, check to measure Bank Rakyat'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 Rakyat is operating at the current time. Most of Bank Rakyat's value examination focuses on studying past and present price action to predict the probability of Bank Rakyat'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 Rakyat's price. Additionally, you may evaluate how the addition of Bank Rakyat to your portfolios can decrease your overall portfolio volatility.