KCC Stock Forecast - Simple Moving Average

002380 Stock   234,000  1,000.00  0.43%   
The Simple Moving Average forecasted value of KCC Corporation on the next trading day is expected to be 234,000 with a mean absolute deviation of 5,221 and the sum of the absolute errors of 313,250. KCC Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast KCC stock prices and determine the direction of KCC Corporation's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of KCC's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
A two period moving average forecast for KCC 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.

KCC Simple Moving Average Price Forecast For the 24th of November

Given 90 days horizon, the Simple Moving Average forecasted value of KCC Corporation on the next trading day is expected to be 234,000 with a mean absolute deviation of 5,221, mean absolute percentage error of 45,363,542, and the sum of the absolute errors of 313,250.
Please note that although there have been many attempts to predict KCC 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 KCC's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

KCC Stock Forecast Pattern

Backtest KCCKCC Price PredictionBuy or Sell Advice 

KCC Forecasted Value

In the context of forecasting KCC'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. KCC's downside and upside margins for the forecasting period are 233,998 and 234,002, respectively. We have considered KCC'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
234,000
233,998
Downside
234,000
Expected Value
234,002
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 KCC stock data series using in forecasting. Note that when a statistical model is used to represent KCC 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 Criteria133.9028
BiasArithmetic mean of the errors 1629.1667
MADMean absolute deviation5220.8333
MAPEMean absolute percentage error0.0191
SAESum of the absolute errors313250.0
The simple moving average model is conceptually a linear regression of the current value of KCC Corporation price series against current and previous (unobserved) value of KCC. 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 KCC

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as KCC Corporation. 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
233,998234,000234,002
Details
Intrinsic
Valuation
LowRealHigh
212,203212,205257,400
Details
Bollinger
Band Projection (param)
LowMiddleHigh
232,684233,500234,316
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as KCC. Your research has to be compared to or analyzed against KCC's peers to derive any actionable benefits. When done correctly, KCC'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 KCC Corporation.

Other Forecasting Options for KCC

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

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

KCC Corporation 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 KCC'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 KCC's current price.

KCC Market Strength Events

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

KCC Risk Indicators

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

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

Moving together with KCC Stock

  0.86222800 SIMMTECHPairCorr

Moving against KCC Stock

  0.41021080 Atinum InvestmentPairCorr
The ability to find closely correlated positions to KCC could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace KCC 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 KCC - 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 KCC Corporation to buy it.
The correlation of KCC 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 KCC moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if KCC Corporation 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 KCC 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 KCC Stock

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