Sam Yang Stock Forecast - Triple Exponential Smoothing

003230 Stock   532,000  20,000  3.91%   
The Triple Exponential Smoothing forecasted value of Sam Yang Foods on the next trading day is expected to be 528,500 with a mean absolute deviation of 12,415 and the sum of the absolute errors of 732,500. Sam Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Sam Yang stock prices and determine the direction of Sam Yang Foods's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Sam Yang's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
Triple exponential smoothing for Sam Yang - 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 Sam Yang 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 Sam Yang price movement. However, neither of these exponential smoothing models address any seasonality of Sam Yang Foods.

Sam Yang Triple Exponential Smoothing Price Forecast For the 24th of November

Given 90 days horizon, the Triple Exponential Smoothing forecasted value of Sam Yang Foods on the next trading day is expected to be 528,500 with a mean absolute deviation of 12,415, mean absolute percentage error of 308,139,831, and the sum of the absolute errors of 732,500.
Please note that although there have been many attempts to predict Sam 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 Sam Yang's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Sam Yang Stock Forecast Pattern

Backtest Sam YangSam Yang Price PredictionBuy or Sell Advice 

Sam Yang Forecasted Value

In the context of forecasting Sam Yang'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. Sam Yang's downside and upside margins for the forecasting period are 528,497 and 528,503, respectively. We have considered Sam Yang'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
532,000
528,497
Downside
528,500
Expected Value
528,503
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 Sam Yang stock data series using in forecasting. Note that when a statistical model is used to represent Sam Yang 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 -4127.1186
MADMean absolute deviation12415.2542
MAPEMean absolute percentage error0.0233
SAESum of the absolute errors732500.0
As with simple exponential smoothing, in triple exponential smoothing models past Sam Yang 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 Sam Yang Foods observations.

Predictive Modules for Sam Yang

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Sam Yang Foods. 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
531,997532,000532,003
Details
Intrinsic
Valuation
LowRealHigh
448,557448,560585,200
Details
Bollinger
Band Projection (param)
LowMiddleHigh
506,477525,333544,190
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Sam Yang. Your research has to be compared to or analyzed against Sam Yang's peers to derive any actionable benefits. When done correctly, Sam Yang'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 Sam Yang Foods.

Other Forecasting Options for Sam Yang

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

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

Sam Yang Foods 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 Sam Yang'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 Sam Yang's current price.

Sam Yang Market Strength Events

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

Sam Yang Risk Indicators

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

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

Moving against Sam Stock

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  0.32005380 Hyundai MotorPairCorr
The ability to find closely correlated positions to Sam Yang could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Sam Yang 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 Sam Yang - 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 Sam Yang Foods to buy it.
The correlation of Sam Yang 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 Sam Yang moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Sam Yang Foods 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 Sam Yang 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 Sam Stock

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