SFA Engineering Stock Forecast - Simple Regression

056190 Stock  KRW 21,300  450.00  2.16%   
The Simple Regression forecasted value of SFA Engineering on the next trading day is expected to be 19,270 with a mean absolute deviation of 1,255 and the sum of the absolute errors of 76,528. SFA Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast SFA Engineering stock prices and determine the direction of SFA Engineering's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of SFA Engineering's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
Simple Regression model is a single variable regression model that attempts to put a straight line through SFA Engineering 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.

SFA Engineering Simple Regression Price Forecast For the 2nd of December

Given 90 days horizon, the Simple Regression forecasted value of SFA Engineering on the next trading day is expected to be 19,270 with a mean absolute deviation of 1,255, mean absolute percentage error of 2,039,389, and the sum of the absolute errors of 76,528.
Please note that although there have been many attempts to predict SFA 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 SFA Engineering's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

SFA Engineering Stock Forecast Pattern

Backtest SFA EngineeringSFA Engineering Price PredictionBuy or Sell Advice 

SFA Engineering Forecasted Value

In the context of forecasting SFA Engineering'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. SFA Engineering's downside and upside margins for the forecasting period are 19,267 and 19,273, respectively. We have considered SFA Engineering'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
21,300
19,267
Downside
19,270
Expected Value
19,273
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 SFA Engineering stock data series using in forecasting. Note that when a statistical model is used to represent SFA Engineering 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 Criteria132.6387
BiasArithmetic mean of the errors None
MADMean absolute deviation1254.5606
MAPEMean absolute percentage error0.0557
SAESum of the absolute errors76528.1967
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 SFA Engineering 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 SFA Engineering

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as SFA Engineering. 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
21,29721,30021,303
Details
Intrinsic
Valuation
LowRealHigh
19,17021,80021,803
Details
Bollinger
Band Projection (param)
LowMiddleHigh
20,41721,01521,613
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as SFA Engineering. Your research has to be compared to or analyzed against SFA Engineering's peers to derive any actionable benefits. When done correctly, SFA Engineering'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 SFA Engineering.

Other Forecasting Options for SFA Engineering

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

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

SFA Engineering 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 SFA Engineering'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 SFA Engineering's current price.

SFA Engineering Market Strength Events

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

SFA Engineering Risk Indicators

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

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 SFA Engineering 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 SFA Engineering will appreciate offsetting losses from the drop in the long position's value.

Moving together with SFA Stock

  0.8254120 XavisPairCorr
  0.71353190 HurumPairCorr
  0.74336570 Daishin Balance No8PairCorr
  0.93030350 Dragonfly GF SplitPairCorr
The ability to find closely correlated positions to SFA Engineering could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace SFA Engineering 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 SFA Engineering - 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 SFA Engineering to buy it.
The correlation of SFA Engineering 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 SFA Engineering moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if SFA Engineering 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 SFA Engineering 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 SFA Stock

SFA Engineering financial ratios help investors to determine whether SFA 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 SFA with respect to the benefits of owning SFA Engineering security.