RangDong Plastic Stock Forecast - Simple Moving Average

RDP Stock   1,390  80.00  5.44%   
The Simple Moving Average forecasted value of RangDong Plastic JSC on the next trading day is expected to be 1,390 with a mean absolute deviation of 57.37 and the sum of the absolute errors of 3,385. RangDong Stock Forecast is based on your current time horizon.
  
A two period moving average forecast for RangDong Plastic 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.

RangDong Plastic Simple Moving Average Price Forecast For the 25th of November

Given 90 days horizon, the Simple Moving Average forecasted value of RangDong Plastic JSC on the next trading day is expected to be 1,390 with a mean absolute deviation of 57.37, mean absolute percentage error of 6,077, and the sum of the absolute errors of 3,385.
Please note that although there have been many attempts to predict RangDong Stock 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 RangDong Plastic's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

RangDong Plastic Stock Forecast Pattern

Backtest RangDong PlasticRangDong Plastic Price PredictionBuy or Sell Advice 

RangDong Plastic Forecasted Value

In the context of forecasting RangDong Plastic's Stock 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. RangDong Plastic's downside and upside margins for the forecasting period are 1,387 and 1,393, respectively. We have considered RangDong Plastic'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
1,390
1,390
Expected Value
1,393
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 RangDong Plastic stock data series using in forecasting. Note that when a statistical model is used to represent RangDong Plastic stock, 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 Criteria123.147
BiasArithmetic mean of the errors 27.5424
MADMean absolute deviation57.3729
MAPEMean absolute percentage error0.0289
SAESum of the absolute errors3385.0
The simple moving average model is conceptually a linear regression of the current value of RangDong Plastic JSC price series against current and previous (unobserved) value of RangDong Plastic. 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 RangDong Plastic

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as RangDong Plastic JSC. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock 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
1,3871,3901,393
Details
Intrinsic
Valuation
LowRealHigh
1,3311,3341,529
Details
Bollinger
Band Projection (param)
LowMiddleHigh
1,3411,4171,492
Details

Other Forecasting Options for RangDong Plastic

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

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

RangDong Plastic JSC Technical and Predictive Analytics

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

RangDong Plastic Market Strength Events

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

RangDong Plastic Risk Indicators

The analysis of RangDong Plastic'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 RangDong Plastic's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting rangdong stock 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.

Pair Trading with RangDong Plastic

One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if RangDong Plastic position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in RangDong Plastic will appreciate offsetting losses from the drop in the long position's value.

Moving together with RangDong Stock

  0.92ADS Damsan JSCPairCorr
  0.95AAA An Phat PlasticPairCorr
  0.86AME Alphanam MEPairCorr
  0.73APG APG Securities JointPairCorr

Moving against RangDong Stock

  0.66BCE Binh Duong ConstructionPairCorr
The ability to find closely correlated positions to RangDong Plastic could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace RangDong Plastic when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back RangDong Plastic - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling RangDong Plastic JSC to buy it.
The correlation of RangDong Plastic is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as RangDong Plastic moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if RangDong Plastic JSC moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for RangDong Plastic can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.
Pair CorrelationCorrelation Matching

Other Information on Investing in RangDong Stock

RangDong Plastic financial ratios help investors to determine whether RangDong Stock 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 RangDong with respect to the benefits of owning RangDong Plastic security.