Siemens Healthineers Pink Sheet Forecast - Double Exponential Smoothing

SMMNY Stock  USD 28.37  0.34  1.21%   
The Double Exponential Smoothing forecasted value of Siemens Healthineers AG on the next trading day is expected to be 28.45 with a mean absolute deviation of 0.36 and the sum of the absolute errors of 21.06. Siemens Pink Sheet 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 Siemens Healthineers works best with periods where there are trends or seasonality.

Siemens Healthineers Double Exponential Smoothing Price Forecast For the 14th of December 2024

Given 90 days horizon, the Double Exponential Smoothing forecasted value of Siemens Healthineers AG on the next trading day is expected to be 28.45 with a mean absolute deviation of 0.36, mean absolute percentage error of 0.22, and the sum of the absolute errors of 21.06.
Please note that although there have been many attempts to predict Siemens Pink Sheet 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 Siemens Healthineers' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Siemens Healthineers Pink Sheet Forecast Pattern

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Siemens Healthineers Forecasted Value

In the context of forecasting Siemens Healthineers' Pink Sheet 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. Siemens Healthineers' downside and upside margins for the forecasting period are 26.83 and 30.07, respectively. We have considered Siemens Healthineers' 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
28.37
28.45
Expected Value
30.07
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 Siemens Healthineers pink sheet data series using in forecasting. Note that when a statistical model is used to represent Siemens Healthineers pink sheet, 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 0.0326
MADMean absolute deviation0.3569
MAPEMean absolute percentage error0.0129
SAESum of the absolute errors21.0554
When Siemens Healthineers AG 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 Siemens Healthineers AG 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 Siemens Healthineers observations are given relatively more weight in forecasting than the older observations.

Predictive Modules for Siemens Healthineers

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Siemens Healthineers. Regardless of method or technology, however, to accurately forecast the pink sheet market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the pink sheet 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
26.7528.3729.99
Details
Intrinsic
Valuation
LowRealHigh
26.5028.1229.74
Details

Other Forecasting Options for Siemens Healthineers

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

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

Siemens Healthineers Technical and Predictive Analytics

The pink sheet market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Siemens Healthineers' 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 Siemens Healthineers' current price.

Siemens Healthineers Market Strength Events

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

Siemens Healthineers Risk Indicators

The analysis of Siemens Healthineers' 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 Siemens Healthineers' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting siemens pink sheet 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.

Also Currently Popular

Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.

Additional Tools for Siemens Pink Sheet Analysis

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