SOOSAN INT Stock Forecast - Naive Prediction

050960 Stock  KRW 8,710  190.00  2.23%   
The Naive Prediction forecasted value of SOOSAN INT Co on the next trading day is expected to be 8,245 with a mean absolute deviation of 122.55 and the sum of the absolute errors of 7,476. SOOSAN Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast SOOSAN INT stock prices and determine the direction of SOOSAN INT Co's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of SOOSAN INT's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
A naive forecasting model for SOOSAN INT is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of SOOSAN INT Co 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.

SOOSAN INT Naive Prediction Price Forecast For the 24th of November

Given 90 days horizon, the Naive Prediction forecasted value of SOOSAN INT Co on the next trading day is expected to be 8,245 with a mean absolute deviation of 122.55, mean absolute percentage error of 23,960, and the sum of the absolute errors of 7,476.
Please note that although there have been many attempts to predict SOOSAN 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 SOOSAN INT's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

SOOSAN INT Stock Forecast Pattern

Backtest SOOSAN INTSOOSAN INT Price PredictionBuy or Sell Advice 

SOOSAN INT Forecasted Value

In the context of forecasting SOOSAN INT'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. SOOSAN INT's downside and upside margins for the forecasting period are 8,243 and 8,246, respectively. We have considered SOOSAN INT'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
8,710
8,245
Expected Value
8,246
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 SOOSAN INT stock data series using in forecasting. Note that when a statistical model is used to represent SOOSAN INT 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 Criteria128.1946
BiasArithmetic mean of the errors None
MADMean absolute deviation122.5533
MAPEMean absolute percentage error0.0127
SAESum of the absolute errors7475.7492
This model is not at all useful as a medium-long range forecasting tool of SOOSAN INT Co. 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 SOOSAN INT. 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 SOOSAN INT

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as SOOSAN INT. 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
8,7098,7108,711
Details
Intrinsic
Valuation
LowRealHigh
7,6387,6409,581
Details
Bollinger
Band Projection (param)
LowMiddleHigh
8,4688,6478,826
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as SOOSAN INT. Your research has to be compared to or analyzed against SOOSAN INT's peers to derive any actionable benefits. When done correctly, SOOSAN INT'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 SOOSAN INT.

Other Forecasting Options for SOOSAN INT

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

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

SOOSAN INT 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 SOOSAN INT'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 SOOSAN INT's current price.

SOOSAN INT Market Strength Events

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

SOOSAN INT Risk Indicators

The analysis of SOOSAN INT'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 SOOSAN INT's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting soosan 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 SOOSAN INT

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 SOOSAN INT 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 SOOSAN INT will appreciate offsetting losses from the drop in the long position's value.

Moving together with SOOSAN Stock

  0.87301300 VAIVPairCorr
  0.9300080 FLITTO IncPairCorr
  0.75303530 InnodepPairCorr
  0.79065370 WISE iTechPairCorr

Moving against SOOSAN Stock

  0.4138580 BusinessOn CommunicationPairCorr
The ability to find closely correlated positions to SOOSAN INT could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace SOOSAN INT 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 SOOSAN INT - 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 SOOSAN INT Co to buy it.
The correlation of SOOSAN INT 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 SOOSAN INT moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if SOOSAN INT 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 SOOSAN INT 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 SOOSAN Stock

SOOSAN INT financial ratios help investors to determine whether SOOSAN 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 SOOSAN with respect to the benefits of owning SOOSAN INT security.