ADM Korea Stock Forecast - 20 Period Moving Average

187660 Stock   3,515  415.00  13.39%   
The 20 Period Moving Average forecasted value of ADM Korea on the next trading day is expected to be 3,422 with a mean absolute deviation of 233.23 and the sum of the absolute errors of 9,562. Investors can use prediction functions to forecast ADM Korea's stock prices and determine the direction of ADM Korea'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 ADM Korea'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 ADM Korea is based on a synthetically constructed ADM Koreadaily 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.

ADM Korea 20 Period Moving Average Price Forecast For the 24th of November

Given 90 days horizon, the 20 Period Moving Average forecasted value of ADM Korea on the next trading day is expected to be 3,422 with a mean absolute deviation of 233.23, mean absolute percentage error of 98,350, and the sum of the absolute errors of 9,562.
Please note that although there have been many attempts to predict ADM 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 ADM Korea's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

ADM Korea Stock Forecast Pattern

ADM Korea Forecasted Value

In the context of forecasting ADM Korea'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. ADM Korea's downside and upside margins for the forecasting period are 3,418 and 3,425, respectively. We have considered ADM Korea'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
3,515
3,422
Expected Value
3,425
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 ADM Korea stock data series using in forecasting. Note that when a statistical model is used to represent ADM Korea 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 Criteria92.8492
BiasArithmetic mean of the errors -83.2317
MADMean absolute deviation233.2317
MAPEMean absolute percentage error0.0661
SAESum of the absolute errors9562.5
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. ADM Korea 20-period moving average forecast can only be used reliably to predict one or two periods into the future.

Predictive Modules for ADM Korea

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as ADM Korea. 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 ADM Korea. Your research has to be compared to or analyzed against ADM Korea's peers to derive any actionable benefits. When done correctly, ADM Korea'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 ADM Korea.

Other Forecasting Options for ADM Korea

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

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

ADM Korea 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 ADM Korea'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 ADM Korea's current price.

ADM Korea Market Strength Events

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

ADM Korea Risk Indicators

The analysis of ADM Korea'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 ADM Korea's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting adm 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 ADM Korea

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 ADM Korea 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 ADM Korea will appreciate offsetting losses from the drop in the long position's value.

Moving against ADM Stock

  0.56005930 Samsung ElectronicsPairCorr
  0.55005935 Samsung ElectronicsPairCorr
  0.38005385 Hyundai MotorPairCorr
  0.36006400 Samsung SDIPairCorr
The ability to find closely correlated positions to ADM Korea could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace ADM Korea 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 ADM Korea - 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 ADM Korea to buy it.
The correlation of ADM Korea 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 ADM Korea moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if ADM Korea 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 ADM Korea 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