Barunson Stock Forecast - Polynomial Regression

018700 Stock  KRW 1,496  6.00  0.40%   
The Polynomial Regression forecasted value of Barunson Co on the next trading day is expected to be 1,508 with a mean absolute deviation of  33.61  and the sum of the absolute errors of 2,050. Barunson Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Barunson stock prices and determine the direction of Barunson Co's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Barunson's historical fundamentals, such as revenue growth or operating cash flow patterns.
Check out Historical Fundamental Analysis of Barunson to cross-verify your projections.
  
Most investors in Barunson cannot accurately predict what will happen the next trading day because, historically, stock markets tend to be unpredictable and even illogical. Modeling turbulent structures requires applying different statistical methods, techniques, and algorithms to find hidden data structures or patterns within the Barunson's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Barunson's price structures and extracts relationships that further increase the generated results' accuracy.
Barunson polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Barunson Co as well as the accuracy indicators are determined from the period prices.

Barunson Polynomial Regression Price Forecast For the 4th of May

Given 90 days horizon, the Polynomial Regression forecasted value of Barunson Co on the next trading day is expected to be 1,508 with a mean absolute deviation of 33.61, mean absolute percentage error of 1,581, and the sum of the absolute errors of 2,050.
Please note that although there have been many attempts to predict Barunson 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 Barunson's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Barunson Stock Forecast Pattern

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Barunson Forecasted Value

In the context of forecasting Barunson'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. Barunson's downside and upside margins for the forecasting period are 1,506 and 1,509, respectively. We have considered Barunson'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
1,496
1,508
Expected Value
1,509
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 Barunson stock data series using in forecasting. Note that when a statistical model is used to represent Barunson 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 Criteria125.4763
BiasArithmetic mean of the errors None
MADMean absolute deviation33.608
MAPEMean absolute percentage error0.0209
SAESum of the absolute errors2050.0854
A single variable polynomial regression model attempts to put a curve through the Barunson 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 Barunson

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Barunson. 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.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Barunson's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Hype
Prediction
LowEstimatedHigh
1,4891,4901,491
Details
Intrinsic
Valuation
LowRealHigh
1,2201,2221,639
Details
Bollinger
Band Projection (param)
LowMiddleHigh
1,4131,4961,551
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Barunson. Your research has to be compared to or analyzed against Barunson's peers to derive any actionable benefits. When done correctly, Barunson'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 Barunson.

Other Forecasting Options for Barunson

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

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

Barunson 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 Barunson'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 Barunson's current price.

Barunson Market Strength Events

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

Barunson Risk Indicators

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

Thematic Opportunities

Explore Investment Opportunities

Build portfolios using Macroaxis predefined set of investing ideas. Many of Macroaxis investing ideas can easily outperform a given market. Ideas can also be optimized per your risk profile before portfolio origination is invoked. Macroaxis thematic optimization helps investors identify companies most likely to benefit from changes or shifts in various micro-economic or local macro-level trends. Originating optimal thematic portfolios involves aligning investors' personal views, ideas, and beliefs with their actual investments.
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Check out Historical Fundamental Analysis of Barunson to cross-verify your projections.
You can also try the Pair Correlation module to compare performance and examine fundamental relationship between any two equity instruments.

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Please note, there is a significant difference between Barunson's value and its price as these two are different measures arrived at by different means. Investors typically determine if Barunson is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Barunson's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.