HMS Networks Stock Forecast - Double Exponential Smoothing

HMS Stock  SEK 376.60  1.80  0.48%   
The Double Exponential Smoothing forecasted value of HMS Networks AB on the next trading day is expected to be 374.12 with a mean absolute deviation of 6.54 and the sum of the absolute errors of 385.83. HMS 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 HMS Networks works best with periods where there are trends or seasonality.

HMS Networks Double Exponential Smoothing Price Forecast For the 25th of November

Given 90 days horizon, the Double Exponential Smoothing forecasted value of HMS Networks AB on the next trading day is expected to be 374.12 with a mean absolute deviation of 6.54, mean absolute percentage error of 70.54, and the sum of the absolute errors of 385.83.
Please note that although there have been many attempts to predict HMS 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 HMS Networks' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

HMS Networks Stock Forecast Pattern

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HMS Networks Forecasted Value

In the context of forecasting HMS Networks' 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. HMS Networks' downside and upside margins for the forecasting period are 372.12 and 376.13, respectively. We have considered HMS Networks' 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
376.60
372.12
Downside
374.12
Expected Value
376.13
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 HMS Networks stock data series using in forecasting. Note that when a statistical model is used to represent HMS Networks 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 -1.3812
MADMean absolute deviation6.5394
MAPEMean absolute percentage error0.0164
SAESum of the absolute errors385.8261
When HMS Networks AB 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 HMS Networks AB 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 HMS Networks observations are given relatively more weight in forecasting than the older observations.

Predictive Modules for HMS Networks

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as HMS Networks AB. 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
374.59376.60378.61
Details
Intrinsic
Valuation
LowRealHigh
325.63327.64414.26
Details
Bollinger
Band Projection (param)
LowMiddleHigh
374.30376.00377.70
Details

Other Forecasting Options for HMS Networks

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

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

HMS Networks AB 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 HMS Networks' 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 HMS Networks' current price.

HMS Networks Market Strength Events

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

HMS Networks Risk Indicators

The analysis of HMS Networks' 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 HMS Networks' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting hms 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 HMS Stock Analysis

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