Sejong Telecom Stock Forecast - Triple Exponential Smoothing

036630 Stock  KRW 425.00  3.00  0.70%   
The Triple Exponential Smoothing forecasted value of Sejong Telecom on the next trading day is expected to be 425.14 with a mean absolute deviation of 3.63 and the sum of the absolute errors of 214.06. 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 28th of March

Given 90 days horizon, the Triple Exponential Smoothing forecasted value of Sejong Telecom on the next trading day is expected to be 425.14 with a mean absolute deviation of 3.63, mean absolute percentage error of 29.68, and the sum of the absolute errors of 214.06.
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

Backtest Sejong TelecomSejong Telecom Price PredictionBuy or Sell Advice 

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 0.9755
MADMean absolute deviation3.6281
MAPEMean absolute percentage error0.0087
SAESum of the absolute errors214.0565
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
424.02425.00425.98
Details
Intrinsic
Valuation
LowRealHigh
363.55364.53467.50
Details
Bollinger
Band Projection (param)
LowMiddleHigh
417.66426.21434.77
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.

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 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.