HanJung Natural Stock Forecast - Simple Regression

107640 Stock   47,750  1,400  2.85%   
The Simple Regression forecasted value of HanJung Natural Connectivity on the next trading day is expected to be 45,611 with a mean absolute deviation of 2,472 and the sum of the absolute errors of 150,781. Investors can use prediction functions to forecast HanJung Natural's stock prices and determine the direction of HanJung Natural Connectivity's future trends based on various well-known forecasting models. However, exclusively looking at the historical price movement is usually misleading. We recommend always using this module together with an analysis of HanJung Natural's historical fundamentals, such as revenue growth or operating cash flow patterns. Check out Trending Equities to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in nation. As of today the value of rsi of HanJung Natural's share price is below 20 . This suggests that the stock is significantly oversold. The fundamental principle of the Relative Strength Index (RSI) is to quantify the velocity at which market participants are driving the price of a financial instrument upwards or downwards.

Momentum 0

 Sell Peaked

 
Oversold
 
Overbought
The successful prediction of HanJung Natural's future price could yield a significant profit. We analyze noise-free headlines and recent hype associated with HanJung Natural Connectivity, which may create opportunities for some arbitrage if properly timed.
Using HanJung Natural hype-based prediction, you can estimate the value of HanJung Natural Connectivity from the perspective of HanJung Natural response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Regression forecasted value of HanJung Natural Connectivity on the next trading day is expected to be 45,611 with a mean absolute deviation of 2,472 and the sum of the absolute errors of 150,781.

HanJung Natural after-hype prediction price

    
  KRW 47750.0  
There is no one specific way to measure market sentiment using hype analysis or a similar predictive technique. This prediction method should be used in combination with more fundamental and traditional techniques such as stock price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
  
Check out Trending Equities to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in nation.

HanJung Natural Additional Predictive Modules

Most predictive techniques to examine HanJung price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for HanJung using various technical indicators. When you analyze HanJung charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.
Simple Regression model is a single variable regression model that attempts to put a straight line through HanJung Natural 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.

HanJung Natural Simple Regression Price Forecast For the 26th of January

Given 90 days horizon, the Simple Regression forecasted value of HanJung Natural Connectivity on the next trading day is expected to be 45,611 with a mean absolute deviation of 2,472, mean absolute percentage error of 8,958,450, and the sum of the absolute errors of 150,781.
Please note that although there have been many attempts to predict HanJung 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 HanJung Natural's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

HanJung Natural Stock Forecast Pattern

HanJung Natural Forecasted Value

In the context of forecasting HanJung Natural'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. HanJung Natural's downside and upside margins for the forecasting period are 45,606 and 45,615, respectively. We have considered HanJung Natural'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
47,750
45,606
Downside
45,611
Expected Value
45,615
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 HanJung Natural stock data series using in forecasting. Note that when a statistical model is used to represent HanJung Natural 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 Criteria134.1186
BiasArithmetic mean of the errors None
MADMean absolute deviation2471.8217
MAPEMean absolute percentage error0.0523
SAESum of the absolute errors150781.1211
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 HanJung Natural Connectivity 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 HanJung Natural

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as HanJung Natural Conn. 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.
Please note, it is not enough to conduct a financial or market analysis of a single entity such as HanJung Natural. Your research has to be compared to or analyzed against HanJung Natural's peers to derive any actionable benefits. When done correctly, HanJung Natural'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 HanJung Natural Conn.

HanJung Natural Estimiated After-Hype Price Prediction Volatility

As far as predicting the price of HanJung Natural at your current risk attitude, this probability distribution graph shows the chance that the prediction will fall between or within a specific range. We use this chart to confirm that your returns on investing in HanJung Natural or, for that matter, your successful expectations of its future price, cannot be replicated consistently. Please note, a large amount of money has been lost over the years by many investors who confused the symmetrical distributions of Stock prices, such as prices of HanJung Natural, with the unreliable approximations that try to describe financial returns.
   Next price density   
       Expected price to next headline  

HanJung Natural Stock Price Prediction Analysis

Have you ever been surprised when a price of a Company such as HanJung Natural is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading HanJung Natural backward and forwards among themselves. Have you ever observed a lot of a particular company's price movement is driven by press releases or news about the company that has nothing to do with actual earnings? Usually, hype to individual companies acts as price momentum. If not enough favorable publicity is forthcoming, the Stock price eventually runs out of speed. So, the rule of thumb here is that as long as this news hype has nothing to do with immediate earnings, you should pay more attention to it. If you see this tendency with HanJung Natural, there might be something going there, and it might present an excellent short sale opportunity.
Expected ReturnPeriod VolatilityHype ElasticityRelated ElasticityNews DensityRelated DensityExpected Hype
  0.15 
4.49
 0.00  
 0.00  
0 Events / Month
0 Events / Month
In 5 to 10 days
Latest traded priceExpected after-news pricePotential return on next major newsAverage after-hype volatility
47,750
47,750
0.00 
0.00  
Notes

HanJung Natural Hype Timeline

HanJung Natural Conn is presently traded for 47,750on KOSDAQ of Korea. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. HanJung is forecasted not to react to the next headline, with the price staying at about the same level, and average media hype impact volatility is insignificant. The immediate return on the next news is forecasted to be very small, whereas the daily expected return is presently at 0.15%. %. The volatility of related hype on HanJung Natural is about 0.0%, with the expected price after the next announcement by competition of 47,750. Assuming the 90 days trading horizon the next forecasted press release will be in 5 to 10 days.
Check out Trending Equities to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in nation.

HanJung Natural Related Hype Analysis

Having access to credible news sources related to HanJung Natural's direct competition is more important than ever and may enhance your ability to predict HanJung Natural's future price movements. Getting to know how HanJung Natural's peers react to changing market sentiment, related social signals, and mainstream news is a great way to find investing opportunities and time the market. The summary table below summarizes the essential lagging indicators that can help you analyze how HanJung Natural may potentially react to the hype associated with one of its peers.
Hype
Elasticity
News
Density
Semi
Deviation
Information
Ratio
Potential
Upside
Value
At Risk
Maximum
Drawdown
005935Samsung Electronics Co 0.00 0 per month 2.36  0.19  4.12 (4.39) 11.48 
005930Samsung Electronics Co 0.00 0 per month 2.15  0.23  4.96 (4.10) 10.22 
373220LG Energy Solution 0.00 0 per month 0.00 (0.04) 5.32 (5.35) 18.85 
000660SK Hynix 0.00 0 per month 2.90  0.19  6.84 (5.48) 19.67 
207940Samsung Biologics Co 0.00 0 per month 0.00  0.00  0.00  0.00  0.00 
051915LG Chem 0.00 0 per month 2.50  0.01  5.46 (3.73) 18.53 
051910LG Chemicals 0.00 0 per month 2.72  0.01  6.53 (4.07) 21.52 
006400Samsung SDI 0.00 0 per month 2.52  0.13  8.65 (4.89) 19.67 
005387Hyundai Motor Co 0.00 0 per month 1.88  0.20  6.54 (3.20) 15.69 
005385Hyundai Motor Co 0.00 0 per month 1.69  0.20  6.46 (3.77) 12.95 

Other Forecasting Options for HanJung Natural

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

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

HanJung Natural Market Strength Events

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

HanJung Natural Risk Indicators

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

Story Coverage note for HanJung Natural

The number of cover stories for HanJung Natural depends on current market conditions and HanJung Natural's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that HanJung Natural is classified under. However, while its typical story may have numerous social followers, the rapid visibility can also attract short-sellers, who usually are skeptical about HanJung Natural's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.

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