Feng Hsin Stock Forecast - Polynomial Regression

2015 Stock  TWD 66.80  0.90  1.33%   
The Polynomial Regression forecasted value of Feng Hsin Steel on the next trading day is expected to be 64.59 with a mean absolute deviation of 0.95 and the sum of the absolute errors of 58.10. Feng Stock Forecast is based on your current time horizon.
  
Feng Hsin polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Feng Hsin Steel as well as the accuracy indicators are determined from the period prices.

Feng Hsin Polynomial Regression Price Forecast For the 1st of February

Given 90 days horizon, the Polynomial Regression forecasted value of Feng Hsin Steel on the next trading day is expected to be 64.59 with a mean absolute deviation of 0.95, mean absolute percentage error of 1.53, and the sum of the absolute errors of 58.10.
Please note that although there have been many attempts to predict Feng 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 Feng Hsin's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Feng Hsin Stock Forecast Pattern

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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 Feng Hsin stock data series using in forecasting. Note that when a statistical model is used to represent Feng Hsin 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 Criteria118.5389
BiasArithmetic mean of the errors None
MADMean absolute deviation0.9524
MAPEMean absolute percentage error0.0132
SAESum of the absolute errors58.0973
A single variable polynomial regression model attempts to put a curve through the Feng Hsin 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 Feng Hsin

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Feng Hsin Steel. 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
65.4666.8068.14
Details
Intrinsic
Valuation
LowRealHigh
59.4560.7973.48
Details
Bollinger
Band Projection (param)
LowMiddleHigh
63.1867.9372.68
Details

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

Feng Hsin Market Strength Events

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

Feng Hsin Risk Indicators

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

Also Currently Popular

Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.

Additional Tools for Feng Stock Analysis

When running Feng Hsin's price analysis, check to measure Feng Hsin's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Feng Hsin is operating at the current time. Most of Feng Hsin's value examination focuses on studying past and present price action to predict the probability of Feng Hsin's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Feng Hsin's price. Additionally, you may evaluate how the addition of Feng Hsin to your portfolios can decrease your overall portfolio volatility.