SK TELECOM Stock Forecast - Naive Prediction

KMBA Stock   20.40  0.60  3.03%   
The Naive Prediction forecasted value of SK TELECOM TDADR on the next trading day is expected to be 20.05 with a mean absolute deviation of 0.38 and the sum of the absolute errors of 23.25. KMBA Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of SK TELECOM's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
A naive forecasting model for SK TELECOM is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of SK TELECOM TDADR value for a given trading day is simply the observed value for the previous period. Due to the simplistic nature of the naive forecasting model, it can only be used to forecast up to one period.

SK TELECOM Naive Prediction Price Forecast For the 27th of November

Given 90 days horizon, the Naive Prediction forecasted value of SK TELECOM TDADR on the next trading day is expected to be 20.05 with a mean absolute deviation of 0.38, mean absolute percentage error of 0.22, and the sum of the absolute errors of 23.25.
Please note that although there have been many attempts to predict KMBA 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 SK TELECOM's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

SK TELECOM Stock Forecast Pattern

Backtest SK TELECOMSK TELECOM Price PredictionBuy or Sell Advice 

SK TELECOM Forecasted Value

In the context of forecasting SK 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. SK TELECOM's downside and upside margins for the forecasting period are 17.69 and 22.41, respectively. We have considered SK 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
20.40
20.05
Expected Value
22.41
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Naive Prediction forecasting method's relative quality and the estimations of the prediction error of SK TELECOM stock data series using in forecasting. Note that when a statistical model is used to represent SK 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 Criteria116.5887
BiasArithmetic mean of the errors None
MADMean absolute deviation0.3811
MAPEMean absolute percentage error0.0189
SAESum of the absolute errors23.25
This model is not at all useful as a medium-long range forecasting tool of SK TELECOM TDADR. This model is simplistic and is included partly for completeness and partly because of its simplicity. It is unlikely that you'll want to use this model directly to predict SK TELECOM. Instead, consider using either the moving average model or the more general weighted moving average model with a higher (i.e., greater than 1) number of periods, and possibly a different set of weights.

Predictive Modules for SK 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 SK TELECOM TDADR. 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
18.0420.4022.76
Details
Intrinsic
Valuation
LowRealHigh
14.6917.0522.44
Details
Bollinger
Band Projection (param)
LowMiddleHigh
19.2420.3621.48
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as SK TELECOM. Your research has to be compared to or analyzed against SK TELECOM's peers to derive any actionable benefits. When done correctly, SK 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 SK TELECOM TDADR.

Other Forecasting Options for SK TELECOM

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

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

SK TELECOM TDADR 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 SK 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 SK TELECOM's current price.

SK TELECOM Market Strength Events

Market strength indicators help investors to evaluate how SK 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 SK TELECOM shares will generate the highest return on investment. By undertsting and applying SK TELECOM stock market strength indicators, traders can identify SK TELECOM TDADR entry and exit signals to maximize returns.

SK TELECOM Risk Indicators

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

Currently Active Assets on Macroaxis

Other Information on Investing in KMBA Stock

SK TELECOM financial ratios help investors to determine whether KMBA 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 KMBA with respect to the benefits of owning SK TELECOM security.