II Group Stock Forecast - Simple Regression

IIG Stock   6.05  0.10  1.63%   
The Simple Regression forecasted value of II Group Public on the next trading day is expected to be 4.91 with a mean absolute deviation of 0.42 and the sum of the absolute errors of 25.60. Investors can use prediction functions to forecast II Group's stock prices and determine the direction of II Group Public's future trends based on various well-known forecasting models. However, exclusively looking at the historical price movement is usually misleading. We recommend always using this module together with an analysis of II Group's historical fundamentals, such as revenue growth or operating cash flow patterns. Check out Risk vs Return Analysis to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in board of governors.
  
Simple Regression model is a single variable regression model that attempts to put a straight line through II Group 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.

II Group Simple Regression Price Forecast For the 16th of December 2024

Given 90 days horizon, the Simple Regression forecasted value of II Group Public on the next trading day is expected to be 4.91 with a mean absolute deviation of 0.42, mean absolute percentage error of 0.25, and the sum of the absolute errors of 25.60.
Please note that although there have been many attempts to predict IIG 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 II Group's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

II Group Stock Forecast Pattern

II Group Forecasted Value

In the context of forecasting II Group'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. II Group's downside and upside margins for the forecasting period are 1.37 and 8.46, respectively. We have considered II Group'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
6.05
4.91
Expected Value
8.46
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 II Group stock data series using in forecasting. Note that when a statistical model is used to represent II Group 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 Criteria116.7417
BiasArithmetic mean of the errors None
MADMean absolute deviation0.4197
MAPEMean absolute percentage error0.0691
SAESum of the absolute errors25.6012
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 II Group Public 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 II Group

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as II Group Public. 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.

Other Forecasting Options for II Group

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

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

II Group Public 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 II Group'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 II Group's current price.

II Group Market Strength Events

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

II Group Risk Indicators

The analysis of II Group'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 II Group's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting iig 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.

Building efficient market-beating portfolios requires time, education, and a lot of computing power!

The Portfolio Architect is an AI-driven system that provides multiple benefits to our users by leveraging cutting-edge machine learning algorithms, statistical analysis, and predictive modeling to automate the process of asset selection and portfolio construction, saving time and reducing human error for individual and institutional investors.

Try AI Portfolio Architect