Silicon Optronics Stock Forecast - Simple Regression

3530 Stock  TWD 75.20  2.30  2.97%   
The Simple Regression forecasted value of Silicon Optronics on the next trading day is expected to be 71.15 with a mean absolute deviation of 3.75 and the sum of the absolute errors of 232.72. Silicon Stock Forecast is based on your current time horizon.
  
Simple Regression model is a single variable regression model that attempts to put a straight line through Silicon Optronics price points. This line is defined by its gradient or slope, and the point at which it intercepts the x-axis. Mathematically, assuming the independent variable is X and the dependent variable is Y, then this line can be represented as: Y = intercept + slope * X.

Silicon Optronics Simple Regression Price Forecast For the 1st of January

Given 90 days horizon, the Simple Regression forecasted value of Silicon Optronics on the next trading day is expected to be 71.15 with a mean absolute deviation of 3.75, mean absolute percentage error of 18.77, and the sum of the absolute errors of 232.72.
Please note that although there have been many attempts to predict Silicon 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 Silicon Optronics' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Silicon Optronics Stock Forecast Pattern

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Silicon Optronics Forecasted Value

In the context of forecasting Silicon Optronics' 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. Silicon Optronics' downside and upside margins for the forecasting period are 68.12 and 74.18, respectively. We have considered Silicon Optronics' 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
75.20
71.15
Expected Value
74.18
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Simple Regression forecasting method's relative quality and the estimations of the prediction error of Silicon Optronics stock data series using in forecasting. Note that when a statistical model is used to represent Silicon Optronics 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 Criteria122.8804
BiasArithmetic mean of the errors None
MADMean absolute deviation3.7536
MAPEMean absolute percentage error0.0592
SAESum of the absolute errors232.723
In general, regression methods applied to historical equity returns or prices series is an area of active research. In recent decades, new methods have been developed for robust regression of price series such as Silicon Optronics historical returns. These new methods are regression involving correlated responses such as growth curves and different regression methods accommodating various types of missing data.

Predictive Modules for Silicon Optronics

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Silicon Optronics. 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
72.1875.2078.22
Details
Intrinsic
Valuation
LowRealHigh
67.6880.2983.31
Details
Bollinger
Band Projection (param)
LowMiddleHigh
68.5672.3176.07
Details

Other Forecasting Options for Silicon Optronics

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

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

Silicon Optronics 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 Silicon Optronics' 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 Silicon Optronics' current price.

Silicon Optronics Market Strength Events

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

Silicon Optronics Risk Indicators

The analysis of Silicon Optronics' 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 Silicon Optronics' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting silicon 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 Silicon Stock Analysis

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