Dong Il Stock Forecast - 20 Period Moving Average

001530 Stock   51,000  100.00  0.20%   
The 20 Period Moving Average forecasted value of Dong Il Corp on the next trading day is expected to be 45,450 with a mean absolute deviation of 3,347 and the sum of the absolute errors of 137,208. Investors can use prediction functions to forecast Dong Il's stock prices and determine the direction of Dong Il Corp's future trends based on various well-known forecasting models. However, exclusively looking at the historical price movement is usually misleading. We recommend always using this module together with an analysis of Dong Il's historical fundamentals, such as revenue growth or operating cash flow patterns. Check out Trending Equities to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in nation.
  
A commonly used 20-period moving average forecast model for Dong Il Corp is based on a synthetically constructed Dong Ildaily price series in which the value for a trading day is replaced by the mean of that value and the values for 20 of preceding and succeeding time periods. This model is best suited for price series data that changes over time.

Dong Il 20 Period Moving Average Price Forecast For the 27th of December

Given 90 days horizon, the 20 Period Moving Average forecasted value of Dong Il Corp on the next trading day is expected to be 45,450 with a mean absolute deviation of 3,347, mean absolute percentage error of 21,287,393, and the sum of the absolute errors of 137,208.
Please note that although there have been many attempts to predict Dong 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 Dong Il's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Dong Il Stock Forecast Pattern

Dong Il Forecasted Value

In the context of forecasting Dong Il'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. Dong Il's downside and upside margins for the forecasting period are 45,448 and 45,452, respectively. We have considered Dong Il'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
51,000
45,448
Downside
45,450
Expected Value
45,452
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the 20 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of Dong Il stock data series using in forecasting. Note that when a statistical model is used to represent Dong Il 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 Criteria98.2266
BiasArithmetic mean of the errors -3191.1585
MADMean absolute deviation3346.5244
MAPEMean absolute percentage error0.0733
SAESum of the absolute errors137207.5
The eieght-period moving average method has an advantage over other forecasting models in that it does smooth out peaks and valleys in a set of daily observations. Dong Il Corp 20-period moving average forecast can only be used reliably to predict one or two periods into the future.

Predictive Modules for Dong Il

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Dong Il Corp. 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.
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Dong Il. Your research has to be compared to or analyzed against Dong Il's peers to derive any actionable benefits. When done correctly, Dong Il'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 Dong Il Corp.

Other Forecasting Options for Dong Il

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

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

Dong Il Corp 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 Dong Il'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 Dong Il's current price.

Dong Il Market Strength Events

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

Dong Il Risk Indicators

The analysis of Dong Il'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 Dong Il's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting dong 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 Dong Il

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 Dong Il 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 Dong Il will appreciate offsetting losses from the drop in the long position's value.

Moving against Dong Stock

  0.86051915 LG ChemPairCorr
  0.84051910 LG ChemicalsPairCorr
  0.82005387 Hyundai MotorPairCorr
  0.78005385 Hyundai MotorPairCorr
  0.77006400 Samsung SDIPairCorr
The ability to find closely correlated positions to Dong Il could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Dong Il 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 Dong Il - 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 Dong Il Corp to buy it.
The correlation of Dong Il 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 Dong Il moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Dong Il Corp 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 Dong Il 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