Young Poong Stock Forecast - 4 Period Moving Average

036560 Stock   14,670  300.00  2.00%   
The 4 Period Moving Average forecasted value of Young Poong Precision on the next trading day is expected to be 14,720 with a mean absolute deviation of 2,066 and the sum of the absolute errors of 117,778. Young Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Young Poong stock prices and determine the direction of Young Poong Precision's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Young Poong's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
A four-period moving average forecast model for Young Poong Precision is based on an artificially constructed daily price series in which the value for a given day is replaced by the mean of that value and the values for four preceding and succeeding time periods. This model is best suited to forecast equities with high volatility.

Young Poong 4 Period Moving Average Price Forecast For the 28th of November

Given 90 days horizon, the 4 Period Moving Average forecasted value of Young Poong Precision on the next trading day is expected to be 14,720 with a mean absolute deviation of 2,066, mean absolute percentage error of 9,559,719, and the sum of the absolute errors of 117,778.
Please note that although there have been many attempts to predict Young 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 Young Poong's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Young Poong Stock Forecast Pattern

Backtest Young PoongYoung Poong Price PredictionBuy or Sell Advice 

Young Poong Forecasted Value

In the context of forecasting Young Poong'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. Young Poong's downside and upside margins for the forecasting period are 14,710 and 14,730, respectively. We have considered Young Poong'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
14,670
14,710
Downside
14,720
Expected Value
14,730
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the 4 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of Young Poong stock data series using in forecasting. Note that when a statistical model is used to represent Young Poong 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 Criteria126.8321
BiasArithmetic mean of the errors -240.5702
MADMean absolute deviation2066.2719
MAPEMean absolute percentage error0.0952
SAESum of the absolute errors117777.5
The four period moving average method has an advantage over other forecasting models in that it does smooth out peaks and troughs in a set of daily price observations of Young Poong. However, it also has several disadvantages. In particular this model does not produce an actual prediction equation for Young Poong Precision and therefore, it cannot be a useful forecasting tool for medium or long range price predictions

Predictive Modules for Young Poong

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Young Poong Precision. 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
14,66014,67014,680
Details
Intrinsic
Valuation
LowRealHigh
14,07314,08316,137
Details
Bollinger
Band Projection (param)
LowMiddleHigh
11,91516,92121,926
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Young Poong. Your research has to be compared to or analyzed against Young Poong's peers to derive any actionable benefits. When done correctly, Young Poong'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 Young Poong Precision.

Other Forecasting Options for Young Poong

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

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

Young Poong Precision 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 Young Poong'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 Young Poong's current price.

Young Poong Market Strength Events

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

Young Poong Risk Indicators

The analysis of Young Poong'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 Young Poong's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting young 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 Young Poong

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 Young Poong 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 Young Poong will appreciate offsetting losses from the drop in the long position's value.

Moving against Young Stock

  0.52005930 Samsung ElectronicsPairCorr
  0.51005935 Samsung ElectronicsPairCorr
  0.36059270 Haisung TPCPairCorr
  0.31039610 HS ValvePairCorr
The ability to find closely correlated positions to Young Poong could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Young Poong 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 Young Poong - 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 Young Poong Precision to buy it.
The correlation of Young Poong 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 Young Poong moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Young Poong Precision 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 Young Poong 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 Young Stock

Young Poong financial ratios help investors to determine whether Young 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 Young with respect to the benefits of owning Young Poong security.