Sejong Telecom Stock Forecast - Triple Exponential Smoothing

036630 Stock  KRW 415.00  9.00  2.12%   
The Triple Exponential Smoothing forecasted value of Sejong Telecom on the next trading day is expected to be 413.74 with a mean absolute deviation of 4.00 and the sum of the absolute errors of 236.21. Sejong Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Sejong Telecom stock prices and determine the direction of Sejong Telecom's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Sejong Telecom's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
Triple exponential smoothing for Sejong Telecom - also known as the Winters method - is a refinement of the popular double exponential smoothing model with the addition of periodicity (seasonality) component. Simple exponential smoothing technique works best with data where there are no trend or seasonality components to the data. When Sejong Telecom prices exhibit either an increasing or decreasing trend over time, simple exponential smoothing forecasts tend to lag behind observations. Double exponential smoothing is designed to address this type of data series by taking into account any trend in Sejong Telecom price movement. However, neither of these exponential smoothing models address any seasonality of Sejong Telecom.

Sejong Telecom Triple Exponential Smoothing Price Forecast For the 2nd of March

Given 90 days horizon, the Triple Exponential Smoothing forecasted value of Sejong Telecom on the next trading day is expected to be 413.74 with a mean absolute deviation of 4.00, mean absolute percentage error of 37.90, and the sum of the absolute errors of 236.21.
Please note that although there have been many attempts to predict Sejong 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 Sejong Telecom's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Sejong Telecom Stock Forecast Pattern

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Sejong Telecom Forecasted Value

In the context of forecasting Sejong Telecom'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. Sejong Telecom's downside and upside margins for the forecasting period are 412.29 and 415.19, respectively. We have considered Sejong Telecom'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
415.00
412.29
Downside
413.74
Expected Value
415.19
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Triple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Sejong Telecom stock data series using in forecasting. Note that when a statistical model is used to represent Sejong Telecom 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 CriteriaHuge
BiasArithmetic mean of the errors -0.6578
MADMean absolute deviation4.0035
MAPEMean absolute percentage error0.0097
SAESum of the absolute errors236.205
As with simple exponential smoothing, in triple exponential smoothing models past Sejong Telecom observations are given exponentially smaller weights as the observations get older. In other words, recent observations are given relatively more weight in forecasting than the older Sejong Telecom observations.

Predictive Modules for Sejong Telecom

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Sejong Telecom. 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
413.55415.00416.45
Details
Intrinsic
Valuation
LowRealHigh
357.82359.26456.50
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Sejong Telecom. Your research has to be compared to or analyzed against Sejong Telecom's peers to derive any actionable benefits. When done correctly, Sejong Telecom'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 Sejong Telecom.

Other Forecasting Options for Sejong Telecom

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

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

Sejong Telecom 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 Sejong Telecom'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 Sejong Telecom's current price.

Sejong Telecom Market Strength Events

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

Sejong Telecom Risk Indicators

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

Other Information on Investing in Sejong Stock

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