Wah Hong Stock Forecast - Polynomial Regression

8240 Stock  TWD 47.55  5.25  9.94%   
The Polynomial Regression forecasted value of Wah Hong Industrial on the next trading day is expected to be 47.70 with a mean absolute deviation of 1.64 and the sum of the absolute errors of 100.02. Wah Stock Forecast is based on your current time horizon.
  
Wah Hong polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Wah Hong Industrial as well as the accuracy indicators are determined from the period prices.

Wah Hong Polynomial Regression Price Forecast For the 30th of November

Given 90 days horizon, the Polynomial Regression forecasted value of Wah Hong Industrial on the next trading day is expected to be 47.70 with a mean absolute deviation of 1.64, mean absolute percentage error of 5.08, and the sum of the absolute errors of 100.02.
Please note that although there have been many attempts to predict Wah 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 Wah Hong's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Wah Hong Stock Forecast Pattern

Backtest Wah HongWah Hong Price PredictionBuy or Sell Advice 

Wah Hong Forecasted Value

In the context of forecasting Wah Hong'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. Wah Hong's downside and upside margins for the forecasting period are 43.52 and 51.87, respectively. We have considered Wah Hong'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
47.55
47.70
Expected Value
51.87
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Polynomial Regression forecasting method's relative quality and the estimations of the prediction error of Wah Hong stock data series using in forecasting. Note that when a statistical model is used to represent Wah Hong 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 Criteria119.7355
BiasArithmetic mean of the errors None
MADMean absolute deviation1.6396
MAPEMean absolute percentage error0.0378
SAESum of the absolute errors100.0163
A single variable polynomial regression model attempts to put a curve through the Wah Hong historical price points. Mathematically, assuming the independent variable is X and the dependent variable is Y, this line can be indicated as: Y = a0 + a1*X + a2*X2 + a3*X3 + ... + am*Xm

Predictive Modules for Wah Hong

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Wah Hong 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
43.3847.5551.72
Details
Intrinsic
Valuation
LowRealHigh
40.9145.0849.25
Details
Bollinger
Band Projection (param)
LowMiddleHigh
41.2647.4353.60
Details

Other Forecasting Options for Wah Hong

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

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

Wah Hong Industrial 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 Wah Hong'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 Wah Hong's current price.

Wah Hong Market Strength Events

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

Wah Hong Risk Indicators

The analysis of Wah Hong'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 Wah Hong's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting wah 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 Wah Hong

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 Wah Hong 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 Wah Hong will appreciate offsetting losses from the drop in the long position's value.

Moving together with Wah Stock

  0.872317 Hon Hai PrecisionPairCorr

Moving against Wah Stock

  0.794109 Jia Jie BiomedicalPairCorr
  0.779136 Ju Teng InternationalPairCorr
  0.753008 LARGAN PrecisionPairCorr
  0.681734 Sinphar Pharmaceutical SplitPairCorr
  0.662327 Yageo CorpPairCorr
The ability to find closely correlated positions to Wah Hong could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Wah Hong 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 Wah Hong - 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 Wah Hong Industrial to buy it.
The correlation of Wah Hong 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 Wah Hong moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Wah Hong 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 Wah Hong 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 Wah Stock Analysis

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