Pampa Energa (Germany) Probability of Future Stock Price Finishing Over 35.0

9PAA Stock  EUR 82.50  1.50  1.79%   
Pampa Energa's future price is the expected price of Pampa Energa instrument. It is based on its current growth rate as well as the projected cash flow expected by the investors. This tool provides a mechanism to make assumptions about the upside potential and downside risk of Pampa Energa SA performance during a given time horizon utilizing its historical volatility. Check out Pampa Energa Backtesting, Pampa Energa Valuation, Pampa Energa Correlation, Pampa Energa Hype Analysis, Pampa Energa Volatility, Pampa Energa History as well as Pampa Energa Performance.
  
Please specify Pampa Energa's target price for which you would like Pampa Energa odds to be computed.

Pampa Energa Target Price Odds to finish over 35.0

The tendency of Pampa Stock price to converge on an average value over time is a known aspect in finance that investors have used since the beginning of the stock market for forecasting. However, many studies suggest that some traded equity instruments are consistently mispriced before traders' demand and supply correct the spread. One possible conclusion to this anomaly is that these stocks have additional risk, for which investors demand compensation in the form of extra returns.
Current PriceHorizonTarget PriceOdds to stay above € 35.00  in 90 days
 82.50 90 days 35.00 
close to 99
Based on a normal probability distribution, the odds of Pampa Energa to stay above € 35.00  in 90 days from now is close to 99 (This Pampa Energa SA probability density function shows the probability of Pampa Stock to fall within a particular range of prices over 90 days) . Probability of Pampa Energa SA price to stay between € 35.00  and its current price of €82.5 at the end of the 90-day period is about 88.17 .
Assuming the 90 days trading horizon Pampa Energa has a beta of 0.0344. This suggests as returns on the market go up, Pampa Energa average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding Pampa Energa SA will be expected to be much smaller as well. Additionally Pampa Energa SA has an alpha of 0.6918, implying that it can generate a 0.69 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta).
   Pampa Energa Price Density   
JavaScript chart by amCharts 3.21.1528.535.041.8448.7356.0962.9869.4276.3282.7590.11Current PriceTargetPampa Energa Mean 0.0050.0100.0150.0200.0250.0300.035
       Price  

Predictive Modules for Pampa Energa

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 Energa 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
81.4684.0086.54
Details
Intrinsic
Valuation
LowRealHigh
62.5665.1092.40
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Pampa Energa. Your research has to be compared to or analyzed against Pampa Energa's peers to derive any actionable benefits. When done correctly, Pampa Energa'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 Energa SA.

Pampa Energa Risk Indicators

For the most part, the last 10-20 years have been a very volatile time for the stock market. Pampa Energa is not an exception. The market had few large corrections towards the Pampa Energa's value, including both sudden drops in prices as well as massive rallies. These swings have made and broken many portfolios. An investor can limit the violent swings in their portfolio by implementing a hedging strategy designed to limit downside losses. If you hold Pampa Energa SA, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Pampa Energa within the framework of very fundamental risk indicators.
α
Alpha over Dow Jones
0.69
β
Beta against Dow Jones0.03
σ
Overall volatility
11.74
Ir
Information ratio 0.27

Pampa Energa Price Density Drivers

Market volatility will typically increase when nervous long traders begin to feel the short-sellers pressure to drive the market lower. The future price of Pampa Stock often depends not only on the future outlook of the current and potential Pampa Energa's investors but also on the ongoing dynamics between investors with different trading styles. Because the market risk indicators may have small false signals, it is better to identify suitable times to hedge a portfolio using different long/short signals. Pampa Energa's indicators that are reflective of the short sentiment are summarized in the table below.
Common Stock Shares Outstanding1.4 B

Pampa Energa Technical Analysis

Pampa Energa's future price can be derived by breaking down and analyzing its technical indicators over time. Pampa Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Pampa Energa SA. In general, you should focus on analyzing Pampa Stock price patterns and their correlations with different microeconomic environments and drivers.

Pampa Energa Predictive Forecast Models

Pampa Energa's time-series forecasting models is one of many Pampa Energa's stock analysis techniques aimed to predict future share value based on previously observed values. Time-series forecasting models are widely used for non-stationary data. Non-stationary data are called the data whose statistical properties, e.g., the mean and standard deviation, are not constant over time, but instead, these metrics vary over time. This non-stationary Pampa Energa's historical data is usually called time series. Some empirical experimentation suggests that the statistical forecasting models outperform the models based exclusively on fundamental analysis to predict the direction of the stock market movement and maximize returns from investment trading.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Pampa Energa in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Pampa Energa's short interest history, or implied volatility extrapolated from Pampa Energa options trading.

Other Information on Investing in Pampa Stock

Pampa Energa financial ratios help investors to determine whether Pampa 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 Pampa with respect to the benefits of owning Pampa Energa security.

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