Samhyun Stock Forecast - Simple Regression

437730 Stock   12,370  1,400  12.76%   
The Simple Regression forecasted value of Samhyun on the next trading day is expected to be 9,352 with a mean absolute deviation of 1,474 and the sum of the absolute errors of 89,940. Investors can use prediction functions to forecast Samhyun's stock prices and determine the direction of Samhyun'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 Samhyun'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.
  
Simple Regression model is a single variable regression model that attempts to put a straight line through Samhyun 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.

Samhyun Simple Regression Price Forecast For the 6th of February

Given 90 days horizon, the Simple Regression forecasted value of Samhyun on the next trading day is expected to be 9,352 with a mean absolute deviation of 1,474, mean absolute percentage error of 3,293,973, and the sum of the absolute errors of 89,940.
Please note that although there have been many attempts to predict Samhyun 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 Samhyun's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Samhyun Stock Forecast Pattern

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 Samhyun stock data series using in forecasting. Note that when a statistical model is used to represent Samhyun 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 Criteria133.1181
BiasArithmetic mean of the errors None
MADMean absolute deviation1474.4257
MAPEMean absolute percentage error0.1783
SAESum of the absolute errors89939.9683
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 Samhyun 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 Samhyun

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Samhyun. 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 Samhyun. Your research has to be compared to or analyzed against Samhyun's peers to derive any actionable benefits. When done correctly, Samhyun'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 Samhyun.

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

Samhyun Market Strength Events

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

Pair Trading with Samhyun

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 Samhyun 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 Samhyun will appreciate offsetting losses from the drop in the long position's value.
The ability to find closely correlated positions to Samhyun could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Samhyun 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 Samhyun - 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 Samhyun to buy it.
The correlation of Samhyun 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 Samhyun moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Samhyun 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 Samhyun 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