SEB SA Pink Sheet Forecast - Simple Exponential Smoothing
| SEBYF Stock | USD 120.68 0.00 0.00% |
The Simple Exponential Smoothing forecasted value of SEB SA on the next trading day is expected to be 120.68 with a mean absolute deviation of 0.49 and the sum of the absolute errors of 29.83. SEB Pink Sheet Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast SEB SA stock prices and determine the direction of SEB SA's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of SEB SA's historical fundamentals, such as revenue growth or operating cash flow patterns.
Check out Historical Fundamental Analysis of SEB SA to cross-verify your projections. SEB |
Most investors in SEB SA cannot accurately predict what will happen the next trading day because, historically, stock markets tend to be unpredictable and even illogical. Modeling turbulent structures requires applying different statistical methods, techniques, and algorithms to find hidden data structures or patterns within the SEB SA's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets SEB SA's price structures and extracts relationships that further increase the generated results' accuracy.
SEB SA 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 SEB SA are weighted equally, Exponential Smoothing assigns exponentially decreasing weights as SEB SA prices get older. SEB SA Simple Exponential Smoothing Price Forecast For the 24th of April
Given 90 days horizon, the Simple Exponential Smoothing forecasted value of SEB SA on the next trading day is expected to be 120.68 with a mean absolute deviation of 0.49, mean absolute percentage error of 5.27, and the sum of the absolute errors of 29.83.Please note that although there have been many attempts to predict SEB 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 SEB SA's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
SEB SA Pink Sheet Forecast Pattern
| Backtest SEB SA | SEB SA Price Prediction | Buy or Sell Advice |
SEB SA Forecasted Value
In the context of forecasting SEB SA's 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. SEB SA's downside and upside margins for the forecasting period are 118.63 and 122.73, respectively. We have considered SEB SA'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.
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 SEB SA pink sheet data series using in forecasting. Note that when a statistical model is used to represent SEB SA 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.| AIC | Akaike Information Criteria | 119.7725 |
| Bias | Arithmetic mean of the errors | -0.2123 |
| MAD | Mean absolute deviation | 0.489 |
| MAPE | Mean absolute percentage error | 0.0041 |
| SAE | Sum of the absolute errors | 29.83 |
Predictive Modules for SEB SA
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as SEB SA. 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.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of SEB SA'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.
Other Forecasting Options for SEB SA
For every potential investor in SEB, whether a beginner or expert, SEB SA's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. SEB Pink Sheet price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in SEB. Basic forecasting techniques help filter out the noise by identifying SEB SA's price trends.SEB SA 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 SEB SA pink sheet to make a market-neutral strategy. Peer analysis of SEB SA could also be used in its relative valuation, which is a method of valuing SEB SA by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
SEB SA 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 SEB SA'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 SEB SA's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
SEB SA Market Strength Events
Market strength indicators help investors to evaluate how SEB SA 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 SEB SA shares will generate the highest return on investment. By undertsting and applying SEB SA pink sheet market strength indicators, traders can identify SEB SA entry and exit signals to maximize returns.
| Rate Of Daily Change | 1.0 | |||
| Day Median Price | 120.68 | |||
| Day Typical Price | 120.68 |
SEB SA Risk Indicators
The analysis of SEB SA'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 SEB SA's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting seb 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.
| Mean Deviation | 0.5799 | |||
| Standard Deviation | 1.99 | |||
| Variance | 3.95 |
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.
Currently Active Assets on Macroaxis
Check out Historical Fundamental Analysis of SEB SA to cross-verify your projections. You can also try the Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
Complementary Tools for SEB Pink Sheet analysis
When running SEB SA's price analysis, check to measure SEB SA'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 SEB SA is operating at the current time. Most of SEB SA's value examination focuses on studying past and present price action to predict the probability of SEB SA's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move SEB SA's price. Additionally, you may evaluate how the addition of SEB SA to your portfolios can decrease your overall portfolio volatility.
| Equity Valuation Check real value of public entities based on technical and fundamental data | |
| Insider Screener Find insiders across different sectors to evaluate their impact on performance | |
| Volatility Analysis Get historical volatility and risk analysis based on latest market data | |
| Companies Directory Evaluate performance of over 100,000 Stocks, Funds, and ETFs against different fundamentals | |
| Options Analysis Analyze and evaluate options and option chains as a potential hedge for your portfolios | |
| Bollinger Bands Use Bollinger Bands indicator to analyze target price for a given investing horizon | |
| Efficient Frontier Plot and analyze your portfolio and positions against risk-return landscape of the market. | |
| Portfolio Center All portfolio management and optimization tools to improve performance of your portfolios | |
| Performance Analysis Check effects of mean-variance optimization against your current asset allocation | |
| Fundamental Analysis View fundamental data based on most recent published financial statements | |
| ETF Categories List of ETF categories grouped based on various criteria, such as the investment strategy or type of investments | |
| Portfolio Dashboard Portfolio dashboard that provides centralized access to all your investments |