Swedbank Pink Sheet Forecast - Naive Prediction

SWDBY Stock  USD 19.40  0.01  0.05%   
The Naive Prediction forecasted value of Swedbank AB on the next trading day is expected to be 18.52 with a mean absolute deviation of 0.32 and the sum of the absolute errors of 19.62. Swedbank Pink Sheet Forecast is based on your current time horizon.
  
A naive forecasting model for Swedbank is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of Swedbank AB value for a given trading day is simply the observed value for the previous period. Due to the simplistic nature of the naive forecasting model, it can only be used to forecast up to one period.

Swedbank Naive Prediction Price Forecast For the 23rd of November

Given 90 days horizon, the Naive Prediction forecasted value of Swedbank AB on the next trading day is expected to be 18.52 with a mean absolute deviation of 0.32, mean absolute percentage error of 0.14, and the sum of the absolute errors of 19.62.
Please note that although there have been many attempts to predict Swedbank 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 Swedbank's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Swedbank Pink Sheet Forecast Pattern

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Swedbank Forecasted Value

In the context of forecasting Swedbank'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. Swedbank's downside and upside margins for the forecasting period are 17.03 and 20.02, respectively. We have considered Swedbank'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
19.40
18.52
Expected Value
20.02
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Naive Prediction forecasting method's relative quality and the estimations of the prediction error of Swedbank pink sheet data series using in forecasting. Note that when a statistical model is used to represent Swedbank 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 Criteria116.1716
BiasArithmetic mean of the errors None
MADMean absolute deviation0.3217
MAPEMean absolute percentage error0.0157
SAESum of the absolute errors19.6225
This model is not at all useful as a medium-long range forecasting tool of Swedbank AB. This model is simplistic and is included partly for completeness and partly because of its simplicity. It is unlikely that you'll want to use this model directly to predict Swedbank. Instead, consider using either the moving average model or the more general weighted moving average model with a higher (i.e., greater than 1) number of periods, and possibly a different set of weights.

Predictive Modules for Swedbank

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Swedbank AB. 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
17.9019.4020.90
Details
Intrinsic
Valuation
LowRealHigh
16.2917.7921.34
Details
Bollinger
Band Projection (param)
LowMiddleHigh
19.1320.0821.03
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Swedbank. Your research has to be compared to or analyzed against Swedbank's peers to derive any actionable benefits. When done correctly, Swedbank's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Swedbank AB.

Other Forecasting Options for Swedbank

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

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Swedbank AB 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 Swedbank'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 Swedbank's current price.

Swedbank Market Strength Events

Market strength indicators help investors to evaluate how Swedbank 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 Swedbank shares will generate the highest return on investment. By undertsting and applying Swedbank pink sheet market strength indicators, traders can identify Swedbank AB entry and exit signals to maximize returns.

Swedbank Risk Indicators

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

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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 Swedbank Pink Sheet Analysis

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