IPC MEXICO Index Forecast - Polynomial Regression
| MXX Index | 51,909 401.79 0.77% |
IPC MEXICO Polynomial Regression Price Forecast For the 9th of November
Given 90 days horizon, the Polynomial Regression forecasted value of IPC MEXICO on the next trading day is expected to be 50,560 with a mean absolute deviation of 527.19, mean absolute percentage error of 433,175, and the sum of the absolute errors of 32,159.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 MEXICO's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
IPC MEXICO Index Forecast Pattern
IPC MEXICO Forecasted Value
In the context of forecasting IPC MEXICO'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 MEXICO's downside and upside margins for the forecasting period are 50,559 and 50,561, respectively. We have considered IPC MEXICO'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.
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 MEXICO index data series using in forecasting. Note that when a statistical model is used to represent IPC MEXICO 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.| AIC | Akaike Information Criteria | 131.0894 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 527.1945 |
| MAPE | Mean absolute percentage error | 0.0101 |
| SAE | Sum of the absolute errors | 32158.8615 |
Predictive Modules for IPC MEXICO
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 MEXICO. 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.Other Forecasting Options for IPC MEXICO
For every potential investor in IPC, whether a beginner or expert, IPC MEXICO'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 MEXICO's price trends.IPC MEXICO 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 MEXICO index to make a market-neutral strategy. Peer analysis of IPC MEXICO could also be used in its relative valuation, which is a method of valuing IPC MEXICO by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
IPC MEXICO Technical and Predictive Analytics
The index market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of IPC MEXICO'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 MEXICO's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
IPC MEXICO Market Strength Events
Market strength indicators help investors to evaluate how IPC MEXICO 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 MEXICO shares will generate the highest return on investment. By undertsting and applying IPC MEXICO index market strength indicators, traders can identify IPC MEXICO entry and exit signals to maximize returns.
| Accumulation Distribution | 1.9 M | |||
| Daily Balance Of Power | (0.65) | |||
| Rate Of Daily Change | 0.99 | |||
| Day Median Price | 51681.31 | |||
| Day Typical Price | 51757.3 | |||
| Price Action Indicator | 27.08 | |||
| Period Momentum Indicator | (401.79) | |||
| Relative Strength Index | 37.49 |
IPC MEXICO Risk Indicators
The analysis of IPC MEXICO'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 IPC MEXICO's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting ipc 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.
| Mean Deviation | 0.6636 | |||
| Standard Deviation | 0.9684 | |||
| Variance | 0.9377 |
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.