Industrial Commercial Pink Sheet Forecast - Simple Exponential Smoothing

IDCBY Stock  USD 12.01  0.10  0.83%   
The Simple Exponential Smoothing forecasted value of Industrial Commercial Bank on the next trading day is expected to be 12.01 with a mean absolute deviation of 0.22 and the sum of the absolute errors of 13.24. Industrial Pink Sheet Forecast is based on your current time horizon.
  
Industrial Commercial simple exponential smoothing forecast is a very popular model used to produce a smoothed price series. Whereas in simple Moving Average models the past observations for Industrial Commercial Bank are weighted equally, Exponential Smoothing assigns exponentially decreasing weights as Industrial Commercial prices get older.

Industrial Commercial Simple Exponential Smoothing Price Forecast For the 23rd of November

Given 90 days horizon, the Simple Exponential Smoothing forecasted value of Industrial Commercial Bank on the next trading day is expected to be 12.01 with a mean absolute deviation of 0.22, mean absolute percentage error of 0.09, and the sum of the absolute errors of 13.24.
Please note that although there have been many attempts to predict Industrial 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 Industrial Commercial's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Industrial Commercial Pink Sheet Forecast Pattern

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Industrial Commercial Forecasted Value

In the context of forecasting Industrial Commercial'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. Industrial Commercial's downside and upside margins for the forecasting period are 9.57 and 14.45, respectively. We have considered Industrial Commercial'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
12.01
12.01
Expected Value
14.45
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Simple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Industrial Commercial pink sheet data series using in forecasting. Note that when a statistical model is used to represent Industrial Commercial 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 Criteria113.822
BiasArithmetic mean of the errors 3.0E-4
MADMean absolute deviation0.2207
MAPEMean absolute percentage error0.0185
SAESum of the absolute errors13.24
This simple exponential smoothing model begins by setting Industrial Commercial Bank forecast for the second period equal to the observation of the first period. In other words, recent Industrial Commercial observations are given relatively more weight in forecasting than the older observations.

Predictive Modules for Industrial Commercial

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Industrial Commercial. 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
9.5712.0114.45
Details
Intrinsic
Valuation
LowRealHigh
7.499.9312.37
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Industrial Commercial. Your research has to be compared to or analyzed against Industrial Commercial's peers to derive any actionable benefits. When done correctly, Industrial Commercial's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Industrial Commercial.

Other Forecasting Options for Industrial Commercial

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

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 Risk & Return  Correlation

Industrial Commercial 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 Industrial Commercial'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 Industrial Commercial's current price.

Industrial Commercial Market Strength Events

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

Industrial Commercial Risk Indicators

The analysis of Industrial Commercial'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 Industrial Commercial's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting industrial 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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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 Industrial Pink Sheet Analysis

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