Seojin System Stock Forecast - Triple Exponential Smoothing

178320 Stock  KRW 27,150  300.00  1.09%   
The Triple Exponential Smoothing forecasted value of Seojin System CoLtd on the next trading day is expected to be 27,151 with a mean absolute deviation of 689.75 and the sum of the absolute errors of 40,695. Seojin Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Seojin System stock prices and determine the direction of Seojin System CoLtd's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Seojin System's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
Triple exponential smoothing for Seojin System - 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 Seojin System 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 Seojin System price movement. However, neither of these exponential smoothing models address any seasonality of Seojin System CoLtd.

Seojin System Triple Exponential Smoothing Price Forecast For the 28th of November

Given 90 days horizon, the Triple Exponential Smoothing forecasted value of Seojin System CoLtd on the next trading day is expected to be 27,151 with a mean absolute deviation of 689.75, mean absolute percentage error of 817,465, and the sum of the absolute errors of 40,695.
Please note that although there have been many attempts to predict Seojin 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 Seojin System's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Seojin System Stock Forecast Pattern

Backtest Seojin SystemSeojin System Price PredictionBuy or Sell Advice 

Seojin System Forecasted Value

In the context of forecasting Seojin System'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. Seojin System's downside and upside margins for the forecasting period are 27,148 and 27,155, respectively. We have considered Seojin System'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
27,150
27,148
Downside
27,151
Expected Value
27,155
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 Seojin System stock data series using in forecasting. Note that when a statistical model is used to represent Seojin System 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 -84.417
MADMean absolute deviation689.7514
MAPEMean absolute percentage error0.0253
SAESum of the absolute errors40695.3321
As with simple exponential smoothing, in triple exponential smoothing models past Seojin System 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 Seojin System CoLtd observations.

Predictive Modules for Seojin System

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Seojin System CoLtd. 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
27,44727,45027,453
Details
Intrinsic
Valuation
LowRealHigh
22,62422,62830,195
Details
Bollinger
Band Projection (param)
LowMiddleHigh
26,34128,19430,047
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Seojin System. Your research has to be compared to or analyzed against Seojin System's peers to derive any actionable benefits. When done correctly, Seojin System'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 Seojin System CoLtd.

Other Forecasting Options for Seojin System

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

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

Seojin System CoLtd 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 Seojin System'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 Seojin System's current price.

Seojin System Market Strength Events

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

Seojin System Risk Indicators

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

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

Moving against Seojin Stock

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  0.42066570 LG ElectronicsPairCorr
  0.4000270 Kia CorpPairCorr
The ability to find closely correlated positions to Seojin System could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Seojin System 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 Seojin System - 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 Seojin System CoLtd to buy it.
The correlation of Seojin System 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 Seojin System moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Seojin System CoLtd 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 Seojin System 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 Seojin Stock

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