KB No4 Stock Forecast - Polynomial Regression

205500 Stock   1,014  5.00  0.49%   
The Polynomial Regression forecasted value of KB No4 SPAC on the next trading day is expected to be 1,019 with a mean absolute deviation of 31.63 and the sum of the absolute errors of 1,930. 205500 Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast KB No4 stock prices and determine the direction of KB No4 SPAC's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of KB No4's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
KB No4 polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for KB No4 SPAC as well as the accuracy indicators are determined from the period prices.

KB No4 Polynomial Regression Price Forecast For the 1st of December

Given 90 days horizon, the Polynomial Regression forecasted value of KB No4 SPAC on the next trading day is expected to be 1,019 with a mean absolute deviation of 31.63, mean absolute percentage error of 1,503, and the sum of the absolute errors of 1,930.
Please note that although there have been many attempts to predict 205500 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 KB No4's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

KB No4 Stock Forecast Pattern

Backtest KB No4KB No4 Price PredictionBuy or Sell Advice 

KB No4 Forecasted Value

In the context of forecasting KB No4'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. KB No4's downside and upside margins for the forecasting period are 1,017 and 1,021, respectively. We have considered KB No4'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
1,014
1,019
Expected Value
1,021
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Polynomial Regression forecasting method's relative quality and the estimations of the prediction error of KB No4 stock data series using in forecasting. Note that when a statistical model is used to represent KB No4 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 Criteria125.4258
BiasArithmetic mean of the errors None
MADMean absolute deviation31.6324
MAPEMean absolute percentage error0.0275
SAESum of the absolute errors1929.5756
A single variable polynomial regression model attempts to put a curve through the KB No4 historical price points. Mathematically, assuming the independent variable is X and the dependent variable is Y, this line can be indicated as: Y = a0 + a1*X + a2*X2 + a3*X3 + ... + am*Xm

Predictive Modules for KB No4

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as KB No4 SPAC. 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
1,0121,0141,016
Details
Intrinsic
Valuation
LowRealHigh
921.51923.581,115
Details
Bollinger
Band Projection (param)
LowMiddleHigh
1,0081,0271,045
Details

Other Forecasting Options for KB No4

For every potential investor in 205500, whether a beginner or expert, KB No4's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. 205500 Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in 205500. Basic forecasting techniques help filter out the noise by identifying KB No4's price trends.

KB No4 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 KB No4 stock to make a market-neutral strategy. Peer analysis of KB No4 could also be used in its relative valuation, which is a method of valuing KB No4 by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

KB No4 SPAC 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 KB No4'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 KB No4's current price.

KB No4 Market Strength Events

Market strength indicators help investors to evaluate how KB No4 stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading KB No4 shares will generate the highest return on investment. By undertsting and applying KB No4 stock market strength indicators, traders can identify KB No4 SPAC entry and exit signals to maximize returns.

KB No4 Risk Indicators

The analysis of KB No4'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 KB No4's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting 205500 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 KB No4

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 KB No4 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 KB No4 will appreciate offsetting losses from the drop in the long position's value.

Moving together with 205500 Stock

  0.76034220 LG DisplayPairCorr
  0.86089970 Adaptive Plasma TechPairCorr

Moving against 205500 Stock

  0.36015760 Korea Electric PowerPairCorr
The ability to find closely correlated positions to KB No4 could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace KB No4 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 KB No4 - 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 KB No4 SPAC to buy it.
The correlation of KB No4 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 KB No4 moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if KB No4 SPAC 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 KB No4 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 205500 Stock

KB No4 financial ratios help investors to determine whether 205500 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 205500 with respect to the benefits of owning KB No4 security.