CIMB Group Pink Sheet Forecast - Simple Moving Average

CIMDF Stock  USD 2.20  0.26  13.40%   
The Simple Moving Average forecasted value of CIMB Group Holdings on the next trading day is expected to be 2.20 with a mean absolute deviation of 0.20 and the sum of the absolute errors of 11.97. CIMB Pink Sheet Forecast is based on your current time horizon. We recommend always using this module together with an analysis of CIMB Group's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
A two period moving average forecast for CIMB Group 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.

CIMB Group Simple Moving Average Price Forecast For the 25th of December

Given 90 days horizon, the Simple Moving Average forecasted value of CIMB Group Holdings on the next trading day is expected to be 2.20 with a mean absolute deviation of 0.20, mean absolute percentage error of 0.07, and the sum of the absolute errors of 11.97.
Please note that although there have been many attempts to predict CIMB 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 CIMB Group's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

CIMB Group Pink Sheet Forecast Pattern

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CIMB Group Forecasted Value

In the context of forecasting CIMB Group'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. CIMB Group's downside and upside margins for the forecasting period are 0.02 and 16.56, respectively. We have considered CIMB Group'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
2.20
2.20
Expected Value
16.56
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 CIMB Group pink sheet data series using in forecasting. Note that when a statistical model is used to represent CIMB Group 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 Criteria111.8385
BiasArithmetic mean of the errors -0.0058
MADMean absolute deviation0.2028
MAPEMean absolute percentage error0.1108
SAESum of the absolute errors11.965
The simple moving average model is conceptually a linear regression of the current value of CIMB Group Holdings price series against current and previous (unobserved) value of CIMB Group. 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 CIMB Group

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as CIMB Group Holdings. 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 CIMB Group'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
0.112.2016.56
Details
Intrinsic
Valuation
LowRealHigh
0.101.9816.34
Details

Other Forecasting Options for CIMB Group

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

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

CIMB Group Holdings 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 CIMB Group'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 CIMB Group's current price.

CIMB Group Market Strength Events

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

CIMB Group Risk Indicators

The analysis of CIMB Group'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 CIMB Group's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting cimb 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 CIMB Pink Sheet

CIMB Group financial ratios help investors to determine whether CIMB 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 CIMB with respect to the benefits of owning CIMB Group security.