SIG Combibloc Stock Forward View - Triple Exponential Smoothing

SIG Combibloc Additional Predictive Modules

Most predictive techniques to examine SIG price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for SIG using various technical indicators. When you analyze SIG charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur. Triple exponential smoothing for SIG Combibloc - also known as the Winters method - is a refinement of the popular double exponential smoothing model with the addition of periodicity (seasonality) component. Simple exponential smoothing technique works best with data where there are no trend or seasonality components to the data. When SIG Combibloc 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 trend in SIG Combibloc price movement. However, neither of these exponential smoothing models address any seasonality of SIG Combibloc Group.

SIG Combibloc Triple Exponential Smoothing Price Forecast For the 14th of February 2026

Given 90 days horizon, the Triple Exponential Smoothing forecasted value of SIG Combibloc Group on the next trading day is expected to be 12.54 with a mean absolute deviation of 0.18, mean absolute percentage error of 0.05, and the sum of the absolute errors of 10.66.

SIG Combibloc Stock Forecast Pattern

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SIG Combibloc Price Prediction

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SIG Combibloc Forecasted Value

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Triple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of SIG Combibloc stock data series using in forecasting. Note that when a statistical model is used to represent SIG Combibloc 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. As with simple exponential smoothing, in triple exponential smoothing models past SIG Combibloc observations are given exponentially smaller weights as the observations get older. In other words, recent observations are given relatively more weight in forecasting than the older SIG Combibloc Group observations.

Predictive Modules for SIG Combibloc

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as SIG Combibloc Group. 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 Low Estimated High 10.54 12.49 14.44 Details

Intrinsic Valuation Low Real High 11.57 13.52 15.47 Details

Earnings Estimates (0) Low Projected EPS High 0.11 0.15 0.18 Details

SIG Combibloc After-Hype Price Density Analysis

SIG Combibloc Estimiated After-Hype Price Volatility

SIG Combibloc Stock Price Outlook Analysis

Notes

SIG Combibloc Hype Timeline

SIG Combibloc Group is at this time traded for 12.49on SIX Swiss Exchange of Switzerland. The entity stock is not elastic to its hype. The average elasticity to hype of competition is -0.38. SIG is anticipated not to react to the next headline, with the price staying at about the same level, and average media hype impact volatility is insignificant. The immediate return on the next news is anticipated to be very small, whereas the daily expected return is at this time at 0.61%. %. The volatility of related hype on SIG Combibloc is about 310.07%, with the expected price after the next announcement by competition of 12.11. About 58.0% of the company shares are owned by institutional investors. The company has price-to-book ratio of 1.86. Typically companies with comparable Price to Book (P/B) are able to outperform the market in the long run. SIG Combibloc Group has Price/Earnings (P/E) ratio of 109.43. The entity last dividend was issued on the 29th of April 2025. Assuming the 90 days trading horizon the next anticipated press release will be within a week. Check out Historical Fundamental Analysis of SIG Combibloc to cross-verify your projections.

SIG Combibloc Related Hype Analysis

Other Forecasting Options for SIG Combibloc

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

SIG Combibloc Related Equities

Risk & Return

Correlation

SIG Combibloc Market Strength Events

SIG Combibloc Risk Indicators

Story Coverage note for SIG Combibloc

Other Macroaxis Stories

SIG Combibloc Short Properties

Additional Tools for SIG Stock Analysis