Stalprodukt Stock Forecast - Double Exponential Smoothing

STP Stock   223.00  1.50  0.68%   
The Double Exponential Smoothing forecasted value of Stalprodukt SA on the next trading day is expected to be 223.29 with a mean absolute deviation of 2.70 and the sum of the absolute errors of 159.48. Stalprodukt Stock Forecast is based on your current time horizon.
  
Double exponential smoothing - also known as Holt exponential smoothing is a refinement of the popular simple exponential smoothing model with an additional trending component. Double exponential smoothing model for Stalprodukt works best with periods where there are trends or seasonality.

Stalprodukt Double Exponential Smoothing Price Forecast For the 2nd of December

Given 90 days horizon, the Double Exponential Smoothing forecasted value of Stalprodukt SA on the next trading day is expected to be 223.29 with a mean absolute deviation of 2.70, mean absolute percentage error of 11.68, and the sum of the absolute errors of 159.48.
Please note that although there have been many attempts to predict Stalprodukt 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 Stalprodukt's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Stalprodukt Stock Forecast Pattern

Backtest StalproduktStalprodukt Price PredictionBuy or Sell Advice 

Stalprodukt Forecasted Value

In the context of forecasting Stalprodukt'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. Stalprodukt's downside and upside margins for the forecasting period are 221.94 and 224.64, respectively. We have considered Stalprodukt'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
223.00
221.94
Downside
223.29
Expected Value
224.64
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Double Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Stalprodukt stock data series using in forecasting. Note that when a statistical model is used to represent Stalprodukt 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 CriteriaHuge
BiasArithmetic mean of the errors -0.2228
MADMean absolute deviation2.703
MAPEMean absolute percentage error0.0114
SAESum of the absolute errors159.4782
When Stalprodukt SA prices exhibit either an increasing or decreasing trend over time, simple exponential smoothing forecasts tend to lag behind observations. Double exponential smoothing is designed to address this type of data series by taking into account any Stalprodukt SA trend in the prices. So in double exponential smoothing past observations are given exponentially smaller weights as the observations get older. In other words, recent Stalprodukt observations are given relatively more weight in forecasting than the older observations.

Predictive Modules for Stalprodukt

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Stalprodukt 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.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Stalprodukt'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.
Hype
Prediction
LowEstimatedHigh
221.65223.00224.35
Details
Intrinsic
Valuation
LowRealHigh
179.28180.63245.30
Details

Other Forecasting Options for Stalprodukt

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

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

Stalprodukt 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 Stalprodukt'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 Stalprodukt's current price.

Stalprodukt Market Strength Events

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

Stalprodukt Risk Indicators

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

Pair Trading with Stalprodukt

One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Stalprodukt position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Stalprodukt will appreciate offsetting losses from the drop in the long position's value.

Moving against Stalprodukt Stock

  0.68CEZ CEZ asPairCorr
  0.39ECH Echo Investment SAPairCorr
  0.36ENA Enea SAPairCorr
The ability to find closely correlated positions to Stalprodukt could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Stalprodukt when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Stalprodukt - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Stalprodukt SA to buy it.
The correlation of Stalprodukt is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Stalprodukt moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Stalprodukt SA moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Stalprodukt can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.
Pair CorrelationCorrelation Matching

Additional Tools for Stalprodukt Stock Analysis

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