Poongsan Stock Forecast - Simple Regression

103140 Stock   49,450  750.00  1.49%   
The Simple Regression forecasted value of Poongsan on the next trading day is expected to be 49,260 with a mean absolute deviation of 3,290 and the sum of the absolute errors of 200,662. Poongsan Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Poongsan stock prices and determine the direction of Poongsan's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Poongsan's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
Simple Regression model is a single variable regression model that attempts to put a straight line through Poongsan price points. This line is defined by its gradient or slope, and the point at which it intercepts the x-axis. Mathematically, assuming the independent variable is X and the dependent variable is Y, then this line can be represented as: Y = intercept + slope * X.

Poongsan Simple Regression Price Forecast For the 23rd of December

Given 90 days horizon, the Simple Regression forecasted value of Poongsan on the next trading day is expected to be 49,260 with a mean absolute deviation of 3,290, mean absolute percentage error of 18,594,905, and the sum of the absolute errors of 200,662.
Please note that although there have been many attempts to predict Poongsan 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 Poongsan's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Poongsan Stock Forecast Pattern

Backtest PoongsanPoongsan Price PredictionBuy or Sell Advice 

Poongsan Forecasted Value

In the context of forecasting Poongsan'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. Poongsan's downside and upside margins for the forecasting period are 49,257 and 49,264, respectively. We have considered Poongsan'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
49,450
49,257
Downside
49,260
Expected Value
49,264
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Simple Regression forecasting method's relative quality and the estimations of the prediction error of Poongsan stock data series using in forecasting. Note that when a statistical model is used to represent Poongsan 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 Criteria134.8489
BiasArithmetic mean of the errors None
MADMean absolute deviation3289.5361
MAPEMean absolute percentage error0.0538
SAESum of the absolute errors200661.7028
In general, regression methods applied to historical equity returns or prices series is an area of active research. In recent decades, new methods have been developed for robust regression of price series such as Poongsan historical returns. These new methods are regression involving correlated responses such as growth curves and different regression methods accommodating various types of missing data.

Predictive Modules for Poongsan

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Poongsan. 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
49,44749,45049,453
Details
Intrinsic
Valuation
LowRealHigh
45,59845,60254,395
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Poongsan. Your research has to be compared to or analyzed against Poongsan's peers to derive any actionable benefits. When done correctly, Poongsan'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 Poongsan.

Other Forecasting Options for Poongsan

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

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

Poongsan 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 Poongsan'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 Poongsan's current price.

Poongsan Market Strength Events

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

Poongsan Risk Indicators

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

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

Moving together with Poongsan Stock

  0.71051910 LG ChemicalsPairCorr
  0.65005490 POSCO HoldingsPairCorr
  0.88011170 Lotte Chemical CorpPairCorr
  0.75004020 Hyundai SteelPairCorr

Moving against Poongsan Stock

  0.67078160 MEDIPOSTPairCorr
  0.63039240 Gyeongnam SteelPairCorr
  0.61230240 Hana Financial 7PairCorr
  0.43003030 Seah Steel CorpPairCorr
  0.43041510 SM EntertainmentPairCorr
The ability to find closely correlated positions to Poongsan could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Poongsan 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 Poongsan - 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 Poongsan to buy it.
The correlation of Poongsan 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 Poongsan moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Poongsan 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 Poongsan 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 Poongsan Stock

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