Pampa Energia Stock Forecast - Polynomial Regression

PAM Stock  USD 86.01  3.00  3.37%   
The Polynomial Regression forecasted value of Pampa Energia SA on the next trading day is expected to be 87.27 with a mean absolute deviation of 2.34 and the sum of the absolute errors of 142.44. Pampa Stock Forecast is based on your current time horizon. Although Pampa Energia's naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of Pampa Energia's systematic risk associated with finding meaningful patterns of Pampa Energia fundamentals over time.
  
As of the 18th of January 2025, Receivables Turnover is likely to grow to 7.83, while Inventory Turnover is likely to drop 6.04. . As of the 18th of January 2025, Common Stock Shares Outstanding is likely to grow to about 1.6 B. Also, Net Income Applicable To Common Shares is likely to grow to about 78.3 B.

Open Interest Against 2025-03-21 Pampa Option Contracts

Although open interest is a measure utilized in the options markets, it could be used to forecast Pampa Energia's spot prices because the number of available contracts in the market changes daily, and new contracts can be created or liquidated at will. Since open interest in Pampa Energia's options reflects these daily shifts, investors could use the patterns of these changes to develop long and short-term trading strategies for Pampa Energia stock based on available contracts left at the end of a trading day.
Please note that to derive more accurate forecasting about market movement from the current Pampa Energia's open interest, investors have to compare it to Pampa Energia's spot prices. As Ford's stock price increases, high open interest indicates that money is entering the market, and the market is strongly bullish. Conversely, if the price of Pampa Energia is decreasing and there is high open interest, that is a sign that the bearish trend will continue, and investors may react by taking short positions in Pampa. So, decreasing or low open interest during a bull market indicates that investors are becoming uncertain of the depth of the bullish trend, and a reversal in sentiment will likely follow.
Pampa Energia polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Pampa Energia SA as well as the accuracy indicators are determined from the period prices.

Pampa Energia Polynomial Regression Price Forecast For the 19th of January

Given 90 days horizon, the Polynomial Regression forecasted value of Pampa Energia SA on the next trading day is expected to be 87.27 with a mean absolute deviation of 2.34, mean absolute percentage error of 6.98, and the sum of the absolute errors of 142.44.
Please note that although there have been many attempts to predict Pampa 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 Pampa Energia's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Pampa Energia Stock Forecast Pattern

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Pampa Energia Forecasted Value

In the context of forecasting Pampa Energia'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. Pampa Energia's downside and upside margins for the forecasting period are 85.08 and 89.45, respectively. We have considered Pampa Energia'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
86.01
87.27
Expected Value
89.45
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 Pampa Energia stock data series using in forecasting. Note that when a statistical model is used to represent Pampa Energia 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 Criteria120.0537
BiasArithmetic mean of the errors None
MADMean absolute deviation2.335
MAPEMean absolute percentage error0.0288
SAESum of the absolute errors142.4376
A single variable polynomial regression model attempts to put a curve through the Pampa Energia 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 Pampa Energia

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Pampa Energia SA. 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.
Hype
Prediction
LowEstimatedHigh
83.2185.3987.57
Details
Intrinsic
Valuation
LowRealHigh
81.0283.2094.61
Details
8 Analysts
Consensus
LowTargetHigh
87.9996.69107.32
Details
Earnings
Estimates (0)
LowProjected EPSHigh
1.622.372.70
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Pampa Energia. Your research has to be compared to or analyzed against Pampa Energia's peers to derive any actionable benefits. When done correctly, Pampa Energia's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Pampa Energia SA.

Other Forecasting Options for Pampa Energia

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

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

Pampa Energia SA 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 Pampa Energia'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 Pampa Energia's current price.

Pampa Energia Market Strength Events

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

Pampa Energia Risk Indicators

The analysis of Pampa Energia'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 Pampa Energia's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting pampa 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.

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When determining whether Pampa Energia SA is a strong investment it is important to analyze Pampa Energia's competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact Pampa Energia's future performance. For an informed investment choice regarding Pampa Stock, refer to the following important reports:
Check out Historical Fundamental Analysis of Pampa Energia to cross-verify your projections.
You can also try the Aroon Oscillator module to analyze current equity momentum using Aroon Oscillator and other momentum ratios.
Is Electric Utilities space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Pampa Energia. If investors know Pampa will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Pampa Energia listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth
1.814
Earnings Share
10.17
Revenue Per Share
33.15
Quarterly Revenue Growth
2.43
Return On Assets
0.052
The market value of Pampa Energia SA is measured differently than its book value, which is the value of Pampa that is recorded on the company's balance sheet. Investors also form their own opinion of Pampa Energia's value that differs from its market value or its book value, called intrinsic value, which is Pampa Energia's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Pampa Energia's market value can be influenced by many factors that don't directly affect Pampa Energia's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Pampa Energia's value and its price as these two are different measures arrived at by different means. Investors typically determine if Pampa Energia is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Pampa Energia's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.