Kuo Yang Stock Forecast - Triple Exponential Smoothing

2505 Stock  TWD 21.30  0.85  3.84%   
The Triple Exponential Smoothing forecasted value of Kuo Yang Construction on the next trading day is expected to be 20.94 with a mean absolute deviation of 0.33 and the sum of the absolute errors of 19.71. Kuo Stock Forecast is based on your current time horizon.
  
Triple exponential smoothing for Kuo Yang - also known as the Winters method - is a refinement of the popular double exponential smoothing model with the addition of periodicity (seasonality) component. Simple exponential smoothing technique works best with data where there are no trend or seasonality components to the data. When Kuo Yang prices exhibit either an increasing or decreasing trend over time, simple exponential smoothing forecasts tend to lag behind observations. Double exponential smoothing is designed to address this type of data series by taking into account any trend in Kuo Yang price movement. However, neither of these exponential smoothing models address any seasonality of Kuo Yang Construction.

Kuo Yang Triple Exponential Smoothing Price Forecast For the 18th of December 2024

Given 90 days horizon, the Triple Exponential Smoothing forecasted value of Kuo Yang Construction on the next trading day is expected to be 20.94 with a mean absolute deviation of 0.33, mean absolute percentage error of 0.18, and the sum of the absolute errors of 19.71.
Please note that although there have been many attempts to predict Kuo 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 Kuo Yang's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Kuo Yang Stock Forecast Pattern

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Kuo Yang Forecasted Value

In the context of forecasting Kuo Yang'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. Kuo Yang's downside and upside margins for the forecasting period are 19.25 and 22.63, respectively. We have considered Kuo Yang'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
21.30
20.94
Expected Value
22.63
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Triple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Kuo Yang stock data series using in forecasting. Note that when a statistical model is used to represent Kuo Yang 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 CriteriaHuge
BiasArithmetic mean of the errors -0.047
MADMean absolute deviation0.3341
MAPEMean absolute percentage error0.0151
SAESum of the absolute errors19.7139
As with simple exponential smoothing, in triple exponential smoothing models past Kuo Yang observations are given exponentially smaller weights as the observations get older. In other words, recent observations are given relatively more weight in forecasting than the older Kuo Yang Construction observations.

Predictive Modules for Kuo Yang

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Kuo Yang Construction. 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
19.6121.3022.99
Details
Intrinsic
Valuation
LowRealHigh
20.2121.9023.59
Details

Other Forecasting Options for Kuo Yang

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

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

Kuo Yang Construction 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 Kuo Yang'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 Kuo Yang's current price.

Kuo Yang Market Strength Events

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

Kuo Yang Risk Indicators

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

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