Public Power Stock Forecast - Simple Exponential Smoothing

PPC Stock  EUR 11.65  0.10  0.85%   
The Simple Exponential Smoothing forecasted value of Public Power on the next trading day is expected to be 11.65 with a mean absolute deviation of 0.15 and the sum of the absolute errors of 8.99. Public Stock Forecast is based on your current time horizon.
  
Public Power simple exponential smoothing forecast is a very popular model used to produce a smoothed price series. Whereas in simple Moving Average models the past observations for Public Power are weighted equally, Exponential Smoothing assigns exponentially decreasing weights as Public Power prices get older.

Public Power Simple Exponential Smoothing Price Forecast For the 23rd of November

Given 90 days horizon, the Simple Exponential Smoothing forecasted value of Public Power on the next trading day is expected to be 11.65 with a mean absolute deviation of 0.15, mean absolute percentage error of 0.04, and the sum of the absolute errors of 8.99.
Please note that although there have been many attempts to predict Public 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 Public Power's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Public Power Stock Forecast Pattern

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Public Power Forecasted Value

In the context of forecasting Public Power'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. Public Power's downside and upside margins for the forecasting period are 10.03 and 13.27, respectively. We have considered Public Power'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
11.65
11.65
Expected Value
13.27
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Simple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Public Power stock data series using in forecasting. Note that when a statistical model is used to represent Public Power 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 Criteria112.9665
BiasArithmetic mean of the errors -8.0E-4
MADMean absolute deviation0.1498
MAPEMean absolute percentage error0.0127
SAESum of the absolute errors8.99
This simple exponential smoothing model begins by setting Public Power forecast for the second period equal to the observation of the first period. In other words, recent Public Power observations are given relatively more weight in forecasting than the older observations.

Predictive Modules for Public Power

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Public Power. 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
10.1411.7513.36
Details
Intrinsic
Valuation
LowRealHigh
8.6210.2311.84
Details
Bollinger
Band Projection (param)
LowMiddleHigh
11.3411.8712.41
Details

Other Forecasting Options for Public Power

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

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

Public Power 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 Public Power'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 Public Power's current price.

Public Power Market Strength Events

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

Public Power Risk Indicators

The analysis of Public Power'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 Public Power's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting public 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.

Thematic Opportunities

Explore Investment Opportunities

Build portfolios using Macroaxis predefined set of investing ideas. Many of Macroaxis investing ideas can easily outperform a given market. Ideas can also be optimized per your risk profile before portfolio origination is invoked. Macroaxis thematic optimization helps investors identify companies most likely to benefit from changes or shifts in various micro-economic or local macro-level trends. Originating optimal thematic portfolios involves aligning investors' personal views, ideas, and beliefs with their actual investments.
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Additional Tools for Public Stock Analysis

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