Chang Type Stock Forecast - Naive Prediction

1541 Stock  TWD 27.20  0.20  0.73%   
The Naive Prediction forecasted value of Chang Type Industrial on the next trading day is expected to be 26.90 with a mean absolute deviation of 0.32 and the sum of the absolute errors of 19.42. Chang Stock Forecast is based on your current time horizon.
  
A naive forecasting model for Chang Type is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of Chang Type Industrial value for a given trading day is simply the observed value for the previous period. Due to the simplistic nature of the naive forecasting model, it can only be used to forecast up to one period.

Chang Type Naive Prediction Price Forecast For the 23rd of December

Given 90 days horizon, the Naive Prediction forecasted value of Chang Type Industrial on the next trading day is expected to be 26.90 with a mean absolute deviation of 0.32, mean absolute percentage error of 0.19, and the sum of the absolute errors of 19.42.
Please note that although there have been many attempts to predict Chang 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 Chang Type's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Chang Type Stock Forecast Pattern

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Chang Type Forecasted Value

In the context of forecasting Chang Type'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. Chang Type's downside and upside margins for the forecasting period are 25.64 and 28.16, respectively. We have considered Chang Type'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
27.20
26.90
Expected Value
28.16
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Naive Prediction forecasting method's relative quality and the estimations of the prediction error of Chang Type stock data series using in forecasting. Note that when a statistical model is used to represent Chang Type 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 Criteria116.4297
BiasArithmetic mean of the errors None
MADMean absolute deviation0.3183
MAPEMean absolute percentage error0.0108
SAESum of the absolute errors19.4155
This model is not at all useful as a medium-long range forecasting tool of Chang Type Industrial. This model is simplistic and is included partly for completeness and partly because of its simplicity. It is unlikely that you'll want to use this model directly to predict Chang Type. Instead, consider using either the moving average model or the more general weighted moving average model with a higher (i.e., greater than 1) number of periods, and possibly a different set of weights.

Predictive Modules for Chang Type

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Chang Type Industrial. 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
25.9427.2028.46
Details
Intrinsic
Valuation
LowRealHigh
23.0024.2629.92
Details
Bollinger
Band Projection (param)
LowMiddleHigh
27.0827.4327.79
Details

Other Forecasting Options for Chang Type

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

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

Chang Type Industrial 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 Chang Type'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 Chang Type's current price.

Chang Type Market Strength Events

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

Chang Type Risk Indicators

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

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