The Polynomial Regression forecasted value of MIE HOLDINGS on the next trading day is expected to be 0.0005 with a mean absolute deviation of 0 and the sum of the absolute errors of 0. MIE Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast MIE HOLDINGS stock prices and determine the direction of MIE HOLDINGS's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of MIE HOLDINGS's historical fundamentals, such as revenue growth or operating cash flow patterns.
MIE
MIE HOLDINGS polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for MIE HOLDINGS as well as the accuracy indicators are determined from the period prices.
MIE HOLDINGS Polynomial Regression Price Forecast For the 27th of March
Given 90 days horizon, the Polynomial Regression forecasted value of MIE HOLDINGS on the next trading day is expected to be 0.0005 with a mean absolute deviation of 0, mean absolute percentage error of 0, and the sum of the absolute errors of 0.
Please note that although there have been many attempts to predict MIE 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 MIE HOLDINGS's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
In the context of forecasting MIE HOLDINGS'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. MIE HOLDINGS's downside and upside margins for the forecasting period are 0.0005 and 0.0005, respectively. We have considered MIE HOLDINGS'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.
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 MIE HOLDINGS stock data series using in forecasting. Note that when a statistical model is used to represent MIE HOLDINGS 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.
AIC
Akaike Information Criteria
35.3633
Bias
Arithmetic mean of the errors
None
MAD
Mean absolute deviation
0.0
MAPE
Mean absolute percentage error
0.0
SAE
Sum of the absolute errors
0.0
A single variable polynomial regression model attempts to put a curve through the MIE HOLDINGS 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 MIE HOLDINGS
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as MIE HOLDINGS. 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.
For every potential investor in MIE, whether a beginner or expert, MIE HOLDINGS's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. MIE Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in MIE. Basic forecasting techniques help filter out the noise by identifying MIE HOLDINGS's price trends.
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 MIE HOLDINGS stock to make a market-neutral strategy. Peer analysis of MIE HOLDINGS could also be used in its relative valuation, which is a method of valuing MIE HOLDINGS by comparing valuation metrics with similar companies.
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 MIE HOLDINGS'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 MIE HOLDINGS's current price.
Market strength indicators help investors to evaluate how MIE HOLDINGS stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading MIE HOLDINGS shares will generate the highest return on investment. By undertsting and applying MIE HOLDINGS stock market strength indicators, traders can identify MIE HOLDINGS entry and exit signals to maximize returns.
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.
MIE HOLDINGS financial ratios help investors to determine whether MIE 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 MIE with respect to the benefits of owning MIE HOLDINGS security.