Yeou Yih Stock Forecast - Double Exponential Smoothing

9962 Stock  TWD 15.40  0.15  0.96%   
The Double Exponential Smoothing forecasted value of Yeou Yih Steel on the next trading day is expected to be 15.45 with a mean absolute deviation of 0.14 and the sum of the absolute errors of 8.10. Yeou Stock Forecast is based on your current time horizon.
  
Double exponential smoothing - also known as Holt exponential smoothing is a refinement of the popular simple exponential smoothing model with an additional trending component. Double exponential smoothing model for Yeou Yih works best with periods where there are trends or seasonality.

Yeou Yih Double Exponential Smoothing Price Forecast For the 29th of November

Given 90 days horizon, the Double Exponential Smoothing forecasted value of Yeou Yih Steel on the next trading day is expected to be 15.45 with a mean absolute deviation of 0.14, mean absolute percentage error of 0.04, and the sum of the absolute errors of 8.10.
Please note that although there have been many attempts to predict Yeou 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 Yeou Yih's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Yeou Yih Stock Forecast Pattern

Backtest Yeou YihYeou Yih Price PredictionBuy or Sell Advice 

Yeou Yih Forecasted Value

In the context of forecasting Yeou Yih'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. Yeou Yih's downside and upside margins for the forecasting period are 14.25 and 16.65, respectively. We have considered Yeou Yih'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
15.40
15.45
Expected Value
16.65
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Double Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Yeou Yih stock data series using in forecasting. Note that when a statistical model is used to represent Yeou Yih 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 0.0517
MADMean absolute deviation0.135
MAPEMean absolute percentage error0.0086
SAESum of the absolute errors8.1
When Yeou Yih Steel 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 Yeou Yih Steel trend in the prices. So in double exponential smoothing past observations are given exponentially smaller weights as the observations get older. In other words, recent Yeou Yih observations are given relatively more weight in forecasting than the older observations.

Predictive Modules for Yeou Yih

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Yeou Yih 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
14.1915.4016.61
Details
Intrinsic
Valuation
LowRealHigh
12.0013.2116.94
Details
Bollinger
Band Projection (param)
LowMiddleHigh
15.2515.4415.63
Details

Other Forecasting Options for Yeou Yih

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

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

Yeou Yih Steel 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 Yeou Yih'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 Yeou Yih's current price.

Yeou Yih Market Strength Events

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

Yeou Yih Risk Indicators

The analysis of Yeou Yih'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 Yeou Yih's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting yeou 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.

Pair Trading with Yeou Yih

One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Yeou Yih position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Yeou Yih will appreciate offsetting losses from the drop in the long position's value.
The ability to find closely correlated positions to Yeou Yih could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Yeou Yih when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Yeou Yih - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Yeou Yih Steel to buy it.
The correlation of Yeou Yih is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Yeou Yih moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Yeou Yih Steel moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Yeou Yih can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.
Pair CorrelationCorrelation Matching

Additional Tools for Yeou Stock Analysis

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