Keum Kang Stock Forecast - Simple Regression

053260 Stock  KRW 4,245  35.00  0.83%   
The Simple Regression forecasted value of Keum Kang Steel on the next trading day is expected to be 4,302 with a mean absolute deviation of 140.92 and the sum of the absolute errors of 8,737. Keum Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Keum Kang stock prices and determine the direction of Keum Kang Steel's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Keum Kang'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 Keum Kang 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.

Keum Kang Simple Regression Price Forecast For the 30th of November

Given 90 days horizon, the Simple Regression forecasted value of Keum Kang Steel on the next trading day is expected to be 4,302 with a mean absolute deviation of 140.92, mean absolute percentage error of 28,744, and the sum of the absolute errors of 8,737.
Please note that although there have been many attempts to predict Keum 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 Keum Kang's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Keum Kang Stock Forecast Pattern

Backtest Keum KangKeum Kang Price PredictionBuy or Sell Advice 

Keum Kang Forecasted Value

In the context of forecasting Keum Kang'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. Keum Kang's downside and upside margins for the forecasting period are 4,299 and 4,304, respectively. We have considered Keum Kang'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
4,245
4,302
Expected Value
4,304
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 Keum Kang stock data series using in forecasting. Note that when a statistical model is used to represent Keum Kang 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 Criteria130.2145
BiasArithmetic mean of the errors None
MADMean absolute deviation140.9177
MAPEMean absolute percentage error0.0309
SAESum of the absolute errors8736.8948
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 Keum Kang Steel 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 Keum Kang

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Keum Kang Steel. 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
4,2434,2454,247
Details
Intrinsic
Valuation
LowRealHigh
3,6623,6644,670
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Keum Kang. Your research has to be compared to or analyzed against Keum Kang's peers to derive any actionable benefits. When done correctly, Keum Kang'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 Keum Kang Steel.

Other Forecasting Options for Keum Kang

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

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

Keum Kang Steel 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 Keum Kang'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 Keum Kang's current price.

Keum Kang Market Strength Events

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

Keum Kang Risk Indicators

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

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

Moving together with Keum Stock

  0.68051910 LG ChemicalsPairCorr
  0.7005490 POSCO HoldingsPairCorr
  0.78009830 Hanwha SolutionsPairCorr
  0.85004020 Hyundai SteelPairCorr

Moving against Keum Stock

  0.66001430 SeAH BesteePairCorr
  0.44024110 Industrial BankPairCorr
  0.43032830 Samsung LifePairCorr
  0.31105560 KB Financial GroupPairCorr
The ability to find closely correlated positions to Keum Kang could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Keum Kang 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 Keum Kang - 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 Keum Kang Steel to buy it.
The correlation of Keum Kang 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 Keum Kang moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Keum Kang Steel 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 Keum Kang 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 Keum Stock

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