Shin Kong Stock Forecast - Simple Regression

2888 Stock  TWD 11.95  0.05  0.42%   
The Simple Regression forecasted value of Shin Kong Financial on the next trading day is expected to be 11.64 with a mean absolute deviation of 0.24 and the sum of the absolute errors of 14.74. Shin Stock Forecast is based on your current time horizon.
  
Simple Regression model is a single variable regression model that attempts to put a straight line through Shin Kong 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.

Shin Kong Simple Regression Price Forecast For the 19th of December

Given 90 days horizon, the Simple Regression forecasted value of Shin Kong Financial on the next trading day is expected to be 11.64 with a mean absolute deviation of 0.24, mean absolute percentage error of 0.07, and the sum of the absolute errors of 14.74.
Please note that although there have been many attempts to predict Shin 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 Shin Kong's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Shin Kong Stock Forecast Pattern

JavaScript chart by amCharts 3.21.15Oct 1Oct 9Oct 18Oct 28Nov 5Nov 13Nov 21Nov 29Dec 9Dec 1811.211.411.611.812.0
JavaScript chart by amCharts 3.21.15Shin Kong Financial Shin Kong Financial forecast
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Shin Kong Forecasted Value

In the context of forecasting Shin Kong'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. Shin Kong's downside and upside margins for the forecasting period are 10.67 and 12.62, respectively. We have considered Shin Kong'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
11.95
11.64
Expected Value
12.62
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 Shin Kong stock data series using in forecasting. Note that when a statistical model is used to represent Shin Kong 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 Criteria115.4612
BiasArithmetic mean of the errors None
MADMean absolute deviation0.2416
MAPEMean absolute percentage error0.0207
SAESum of the absolute errors14.7366
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 Shin Kong Financial 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 Shin Kong

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Shin Kong Financial. 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
10.9711.9512.93
Details
Intrinsic
Valuation
LowRealHigh
8.939.9113.15
Details
Bollinger
Band Projection (param)
LowMiddleHigh
11.1111.6112.10
Details

Other Forecasting Options for Shin Kong

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

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

Shin Kong Financial 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 Shin Kong'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 Shin Kong's current price.

Shin Kong Market Strength Events

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

Shin Kong Risk Indicators

The analysis of Shin Kong'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 Shin Kong's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting shin 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 Shin Stock Analysis

When running Shin Kong's price analysis, check to measure Shin Kong'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 Shin Kong is operating at the current time. Most of Shin Kong's value examination focuses on studying past and present price action to predict the probability of Shin Kong's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Shin Kong's price. Additionally, you may evaluate how the addition of Shin Kong to your portfolios can decrease your overall portfolio volatility.

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