IPC Index Forecast - Polynomial Regression

MXX
 Index
  

 47,742  1,084  2.32%   

IPC Index Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast IPC historical stock prices and determine the direction of IPC's future trends based on various well-known forecasting models. However, solely looking at the historical price movement is usually misleading. Macroaxis recommends to always use this module together with analysis of IPC historical fundamentals such as revenue growth or operating cash flow patterns.
Check out fundamental analysis of IPC to check your projections.
  
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Most investors in IPC cannot accurately predict what will happen the next trading day because, historically, stock markets tend to be unpredictable and even illogical. Modeling turbulent structures requires applying different statistical methods, techniques, and algorithms to find hidden data structures or patterns within the IPC's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets IPC's price structures and extracts relationships that further increase the generated results' accuracy.
IPC polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for IPC as well as the accuracy indicators are determined from the period prices.

IPC Polynomial Regression Price Forecast For the 27th of June

Given 90 days horizon, the Polynomial Regression forecasted value of IPC on the next trading day is expected to be 46,425 with a mean absolute deviation of 758.21, mean absolute percentage error of 891,012, and the sum of the absolute errors of 46,251. Please note that although there have been many attempts to predict IPC 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 IPC's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

IPC Index Forecast Pattern

IPC Forecasted Value

In the context of forecasting IPC's Index 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. IPC's downside and upside margins for the forecasting period are 46,424 and 46,426, respectively. We have considered IPC'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 47,742
46,424
Downside
46,425
Expected Value
46,426
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 IPC index data series using in forecasting. Note that when a statistical model is used to represent IPC 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 Criteria131.8106
BiasArithmetic mean of the errors None
MADMean absolute deviation758.2123
MAPEMean absolute percentage error0.0149
SAESum of the absolute errors46250.9531
A single variable polynomial regression model attempts to put a curve through the IPC 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 IPC

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as IPC. Regardless of method or technology, however, to accurately forecast the stock or bond 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.
Sophisticated investors, who have witnessed many market ups and downs, frequently view the market will even out over time. This tendency of IPC's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy. Please use the tools below to analyze the current value of IPC in the context of predictive analytics.
Hype
Prediction
LowEstimated ValueHigh
47,74047,74247,743
Details
Intrinsic
Valuation
LowReal ValueHigh
42,96749,68849,689
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
46,05849,56853,078
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as IPC. Your research has to be compared to or analyzed against IPC's peers to derive any actionable benefits. When done correctly, IPC's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy towards taking a position in IPC.

Other Forecasting Options for IPC

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

View Currently 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 IPC index to make a market-neutral strategy. Peer analysis of IPC could also be used in its relative valuation, which is a method of valuing IPC by comparing valuation metrics with similar companies.

IPC 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 IPC'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 IPC's current price.

IPC Market Strength Events

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

IPC Risk Indicators

The analysis of IPC's basic risk indicators is one of the essential steps in helping accuretelly forecast its future price. The process involves identifying the amount of risk involved in IPC's investment and either accepting that risk or mitigating it. Along with some funamental techniques of forecasting IPC stock price, 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 stock investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.

Be your own money manager

Our tools can tell you how much better you can do entering a position in IPC without increasing your portfolio risk or giving up expected return. As an individual investor, you need to find a reliable way to track all your investment portfolios. However, your requirements will often be based on how much of the process you decide to do yourself. In addition to allowing all investors analytical transparency into all their portfolios, our tools can evaluate.risk-adjusted returns of your individual positions relative to your overall portfolio.

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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.
Check out fundamental analysis of IPC to check your projections. Note that the IPC information on this page should be used as a complementary analysis to other IPC's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try Options Analysis module to analyze and evaluate options and option chains as a potential hedge for your portfolios.

Other Tools for IPC Index

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