Taiwan Weighted Index Forecast - Simple Regression

TWII Index   23,525  52.74  0.22%   
The Simple Regression forecasted value of Taiwan Weighted on the next trading day is expected to be 23,153 with a mean absolute deviation of 235.64 and the sum of the absolute errors of 14,374. Investors can use prediction functions to forecast Taiwan Weighted's index prices and determine the direction of Taiwan Weighted's future trends based on various well-known forecasting models. However, exclusively looking at the historical price movement is usually misleading.
Simple Regression model is a single variable regression model that attempts to put a straight line through Taiwan Weighted 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.

Taiwan Weighted Simple Regression Price Forecast For the 2nd of February

Given 90 days horizon, the Simple Regression forecasted value of Taiwan Weighted on the next trading day is expected to be 23,153 with a mean absolute deviation of 235.64, mean absolute percentage error of 95,683, and the sum of the absolute errors of 14,374.
Please note that although there have been many attempts to predict Taiwan Index 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 Taiwan Weighted's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Taiwan Weighted Index Forecast Pattern

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 Taiwan Weighted index data series using in forecasting. Note that when a statistical model is used to represent Taiwan Weighted index, 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 Criteria129.5793
BiasArithmetic mean of the errors None
MADMean absolute deviation235.6431
MAPEMean absolute percentage error0.0103
SAESum of the absolute errors14374.2291
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 Taiwan Weighted 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 Taiwan Weighted

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Taiwan Weighted. Regardless of method or technology, however, to accurately forecast the index market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the index 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.

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

Taiwan Weighted Market Strength Events

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

Taiwan Weighted Risk Indicators

The analysis of Taiwan Weighted'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 Taiwan Weighted's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting taiwan index 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.