Hsin Ba Stock Forecast - Triple Exponential Smoothing

9906 Stock  TWD 106.50  2.50  2.29%   
The Triple Exponential Smoothing forecasted value of Hsin Ba Ba on the next trading day is expected to be 106.13 with a mean absolute deviation of 3.06 and the sum of the absolute errors of 183.75. Hsin Stock Forecast is based on your current time horizon.
  
Triple exponential smoothing for Hsin Ba - 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 Hsin Ba 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 Hsin Ba price movement. However, neither of these exponential smoothing models address any seasonality of Hsin Ba Ba.

Hsin Ba Triple Exponential Smoothing Price Forecast For the 6th of February

Given 90 days horizon, the Triple Exponential Smoothing forecasted value of Hsin Ba Ba on the next trading day is expected to be 106.13 with a mean absolute deviation of 3.06, mean absolute percentage error of 15.90, and the sum of the absolute errors of 183.75.
Please note that although there have been many attempts to predict Hsin 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 Hsin Ba's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Hsin Ba Stock Forecast Pattern

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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 Hsin Ba stock data series using in forecasting. Note that when a statistical model is used to represent Hsin Ba 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 0.5468
MADMean absolute deviation3.0624
MAPEMean absolute percentage error0.0261
SAESum of the absolute errors183.7457
As with simple exponential smoothing, in triple exponential smoothing models past Hsin Ba 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 Hsin Ba Ba observations.

Predictive Modules for Hsin Ba

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Hsin Ba Ba. 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
103.59106.50109.41
Details
Intrinsic
Valuation
LowRealHigh
90.9693.87117.15
Details
Bollinger
Band Projection (param)
LowMiddleHigh
102.78113.10123.42
Details

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

Hsin Ba Market Strength Events

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

Hsin Ba Risk Indicators

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

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