I Jang Stock Forecast - 4 Period Moving Average

8342 Stock  TWD 90.70  1.10  1.23%   
The 4 Period Moving Average forecasted value of I Jang Industrial on the next trading day is expected to be 89.45 with a mean absolute deviation of 0.76 and the sum of the absolute errors of 43.15. 8342 Stock Forecast is based on your current time horizon.
  
A four-period moving average forecast model for I Jang Industrial is based on an artificially constructed daily price series in which the value for a given day is replaced by the mean of that value and the values for four preceding and succeeding time periods. This model is best suited to forecast equities with high volatility.

I Jang 4 Period Moving Average Price Forecast For the 5th of February

Given 90 days horizon, the 4 Period Moving Average forecasted value of I Jang Industrial on the next trading day is expected to be 89.45 with a mean absolute deviation of 0.76, mean absolute percentage error of 1.18, and the sum of the absolute errors of 43.15.
Please note that although there have been many attempts to predict 8342 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 I Jang's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

I Jang Stock Forecast Pattern

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Model Predictive Factors

The below table displays some essential indicators generated by the model showing the 4 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of I Jang stock data series using in forecasting. Note that when a statistical model is used to represent I Jang 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 Criteria110.9263
BiasArithmetic mean of the errors -0.1246
MADMean absolute deviation0.757
MAPEMean absolute percentage error0.0086
SAESum of the absolute errors43.15
The four period moving average method has an advantage over other forecasting models in that it does smooth out peaks and troughs in a set of daily price observations of I Jang. However, it also has several disadvantages. In particular this model does not produce an actual prediction equation for I Jang Industrial and therefore, it cannot be a useful forecasting tool for medium or long range price predictions

Predictive Modules for I Jang

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as I Jang 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
89.6890.7091.72
Details
Intrinsic
Valuation
LowRealHigh
72.8173.8399.77
Details
Bollinger
Band Projection (param)
LowMiddleHigh
87.2588.7190.17
Details

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

I Jang Market Strength Events

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

I Jang Risk Indicators

The analysis of I Jang'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 I Jang's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting 8342 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 I Jang

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 I Jang 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 I Jang will appreciate offsetting losses from the drop in the long position's value.
The ability to find closely correlated positions to I Jang could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace I Jang 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 I Jang - 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 I Jang Industrial to buy it.
The correlation of I Jang 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 I Jang moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if I Jang Industrial 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 I Jang 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 8342 Stock Analysis

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