Samhyun Stock Forecast - Simple Regression
437730 Stock | 12,370 1,400 12.76% |
Samhyun |
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.AIC | Akaike Information Criteria | 133.1181 |
Bias | Arithmetic mean of the errors | None |
MAD | Mean absolute deviation | 1474.4257 |
MAPE | Mean absolute percentage error | 0.1783 |
SAE | Sum of the absolute errors | 89939.9683 |
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.
Accumulation Distribution | 0.18 | |||
Daily Balance Of Power | 0.5983 | |||
Rate Of Daily Change | 1.13 | |||
Day Median Price | 11980.0 | |||
Day Typical Price | 12110.0 | |||
Market Facilitation Index | 2340.0 | |||
Price Action Indicator | 1090.0 | |||
Period Momentum Indicator | 1400.0 | |||
Relative Strength Index | 63.6 |
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.