Hanmi Semiconductor Stock Forecast - Triple Exponential Smoothing

042700 Stock   74,600  2,300  2.99%   
The Triple Exponential Smoothing forecasted value of Hanmi Semiconductor Co on the next trading day is expected to be 73,720 with a mean absolute deviation of 2,925 and the sum of the absolute errors of 172,573. Hanmi Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Hanmi Semiconductor stock prices and determine the direction of Hanmi Semiconductor Co's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Hanmi Semiconductor's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
Triple exponential smoothing for Hanmi Semiconductor - 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 Hanmi Semiconductor 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 Hanmi Semiconductor price movement. However, neither of these exponential smoothing models address any seasonality of Hanmi Semiconductor.

Hanmi Semiconductor Triple Exponential Smoothing Price Forecast For the 30th of November

Given 90 days horizon, the Triple Exponential Smoothing forecasted value of Hanmi Semiconductor Co on the next trading day is expected to be 73,720 with a mean absolute deviation of 2,925, mean absolute percentage error of 14,243,548, and the sum of the absolute errors of 172,573.
Please note that although there have been many attempts to predict Hanmi 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 Hanmi Semiconductor's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Hanmi Semiconductor Stock Forecast Pattern

Backtest Hanmi SemiconductorHanmi Semiconductor Price PredictionBuy or Sell Advice 

Hanmi Semiconductor Forecasted Value

In the context of forecasting Hanmi Semiconductor'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. Hanmi Semiconductor's downside and upside margins for the forecasting period are 73,717 and 73,723, respectively. We have considered Hanmi Semiconductor'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
74,600
73,717
Downside
73,720
Expected Value
73,723
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 Hanmi Semiconductor stock data series using in forecasting. Note that when a statistical model is used to represent Hanmi Semiconductor 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 647.7133
MADMean absolute deviation2924.97
MAPEMean absolute percentage error0.0295
SAESum of the absolute errors172573.2273
As with simple exponential smoothing, in triple exponential smoothing models past Hanmi Semiconductor 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 Hanmi Semiconductor Co observations.

Predictive Modules for Hanmi Semiconductor

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Hanmi Semiconductor. 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
76,89776,90076,903
Details
Intrinsic
Valuation
LowRealHigh
74,16974,17284,590
Details

Other Forecasting Options for Hanmi Semiconductor

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

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

Hanmi Semiconductor 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 Hanmi Semiconductor'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 Hanmi Semiconductor's current price.

Hanmi Semiconductor Market Strength Events

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

Hanmi Semiconductor Risk Indicators

The analysis of Hanmi Semiconductor'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 Hanmi Semiconductor's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting hanmi 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 Hanmi Semiconductor

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 Hanmi Semiconductor 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 Hanmi Semiconductor will appreciate offsetting losses from the drop in the long position's value.

Moving together with Hanmi Stock

  0.7293780 AptaBio TherapeuticsPairCorr
  0.91215480 Daewoo SBI SPACPairCorr
  0.82302430 InnometryPairCorr

Moving against Hanmi Stock

  0.45203650 Dream Security coPairCorr
The ability to find closely correlated positions to Hanmi Semiconductor could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Hanmi Semiconductor 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 Hanmi Semiconductor - 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 Hanmi Semiconductor Co to buy it.
The correlation of Hanmi Semiconductor 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 Hanmi Semiconductor moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Hanmi Semiconductor 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 Hanmi Semiconductor 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

Other Information on Investing in Hanmi Stock

Hanmi Semiconductor financial ratios help investors to determine whether Hanmi Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Hanmi with respect to the benefits of owning Hanmi Semiconductor security.