Danske Bank Pink Sheet Forecast - Naive Prediction

DNSKF Stock  USD 50.21  1.30  2.66%   
Danske Pink Sheet outlook is based on your current time horizon. We recommend always using this module together with an analysis of Danske Bank's historical fundamentals, such as revenue growth or operating cash flow patterns.
The relative strength index (RSI) of Danske Bank's pink sheet price is roughly 64 suggesting that the pink sheet is rather overbought by investors as of 27th of January 2026. The main point of the Relative Strength Index (RSI) is to track how fast people are buying or selling Danske, making its price go up or down.

Momentum 64

 Buy Extended

 
Oversold
 
Overbought
The successful prediction of Danske Bank's future price could yield a significant profit. Please, note that this module is not intended to be used solely to calculate an intrinsic value of Danske Bank and does not consider all of the tangible or intangible factors available from Danske Bank's fundamental data. We analyze noise-free headlines and recent hype associated with Danske Bank AS, which may create opportunities for some arbitrage if properly timed.
Using Danske Bank hype-based prediction, you can estimate the value of Danske Bank AS from the perspective of Danske Bank response to recently generated media hype and the effects of current headlines on its competitors.
The Naive Prediction forecasted value of Danske Bank AS on the next trading day is expected to be 50.82 with a mean absolute deviation of 0.66 and the sum of the absolute errors of 40.13.

Danske Bank after-hype prediction price

    
  USD 50.21  
There is no one specific way to measure market sentiment using hype analysis or a similar predictive technique. This prediction method should be used in combination with more fundamental and traditional techniques such as pink sheet price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
  
Check out Historical Fundamental Analysis of Danske Bank to cross-verify your projections.

Danske Bank Additional Predictive Modules

Most predictive techniques to examine Danske price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Danske using various technical indicators. When you analyze Danske 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.
A naive forecasting model for Danske Bank is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of Danske Bank AS 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.

Danske Bank Naive Prediction Price Forecast For the 28th of January

Given 90 days horizon, the Naive Prediction forecasted value of Danske Bank AS on the next trading day is expected to be 50.82 with a mean absolute deviation of 0.66, mean absolute percentage error of 0.66, and the sum of the absolute errors of 40.13.
Please note that although there have been many attempts to predict Danske 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 Danske Bank's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Danske Bank Pink Sheet Forecast Pattern

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Danske Bank Forecasted Value

In the context of forecasting Danske Bank'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. Danske Bank's downside and upside margins for the forecasting period are 49.17 and 52.47, respectively. We have considered Danske Bank'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
50.21
50.82
Expected Value
52.47
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 Danske Bank pink sheet data series using in forecasting. Note that when a statistical model is used to represent Danske Bank 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 Criteria117.6953
BiasArithmetic mean of the errors None
MADMean absolute deviation0.6579
MAPEMean absolute percentage error0.014
SAESum of the absolute errors40.131
This model is not at all useful as a medium-long range forecasting tool of Danske Bank AS. 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 Danske Bank. 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 Danske Bank

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Danske Bank AS. 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
48.5750.2151.85
Details
Intrinsic
Valuation
LowRealHigh
42.3443.9855.23
Details

Danske Bank After-Hype Price Density Analysis

As far as predicting the price of Danske Bank at your current risk attitude, this probability distribution graph shows the chance that the prediction will fall between or within a specific range. We use this chart to confirm that your returns on investing in Danske Bank or, for that matter, your successful expectations of its future price, cannot be replicated consistently. Please note, a large amount of money has been lost over the years by many investors who confused the symmetrical distributions of Pink Sheet prices, such as prices of Danske Bank, with the unreliable approximations that try to describe financial returns.
   Next price density   
       Expected price to next headline  

Danske Bank Estimiated After-Hype Price Volatility

In the context of predicting Danske Bank's pink sheet value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Danske Bank's historical news coverage. Danske Bank's after-hype downside and upside margins for the prediction period are 48.57 and 51.85, respectively. We have considered Danske Bank's daily market price in relation to the headlines to evaluate this method's predictive performance. Remember, however, there is no scientific proof or empirical evidence that news-based prediction models outperform traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
50.21
50.21
After-hype Price
51.85
Upside
Danske Bank is very steady at this time. Analysis and calculation of next after-hype price of Danske Bank AS is based on 3 months time horizon.

Danske Bank Pink Sheet Price Outlook Analysis

Have you ever been surprised when a price of a Company such as Danske Bank is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Danske Bank backward and forwards among themselves. Have you ever observed a lot of a particular company's price movement is driven by press releases or news about the company that has nothing to do with actual earnings? Usually, hype to individual companies acts as price momentum. If not enough favorable publicity is forthcoming, the Pink Sheet price eventually runs out of speed. So, the rule of thumb here is that as long as this news hype has nothing to do with immediate earnings, you should pay more attention to it. If you see this tendency with Danske Bank, there might be something going there, and it might present an excellent short sale opportunity.
Expected ReturnPeriod VolatilityHype ElasticityRelated ElasticityNews DensityRelated DensityExpected Hype
  0.18 
1.65
 0.00  
 0.00  
0 Events / Month
1 Events / Month
In a few days
Latest traded priceExpected after-news pricePotential return on next major newsAverage after-hype volatility
50.21
50.21
0.00 
0.00  
Notes

Danske Bank Hype Timeline

Danske Bank AS is currently traded for 50.21. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. Danske is forecasted 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 forecasted to be very small, whereas the daily expected return is currently at 0.18%. %. The volatility of related hype on Danske Bank is about 15000.0%, with the expected price after the next announcement by competition of 50.21. About 21.0% of the company shares are held by company insiders. The company has price-to-book (P/B) ratio of 0.63. Some equities with similar Price to Book (P/B) outperform the market in the long run. Danske Bank AS has Price/Earnings To Growth (PEG) ratio of 1.88. The entity last dividend was issued on the 18th of March 2022. The firm had 1:1 split on the 17th of March 2011. Assuming the 90 days horizon the next forecasted press release will be in a few days.
Check out Historical Fundamental Analysis of Danske Bank to cross-verify your projections.

Danske Bank Related Hype Analysis

Having access to credible news sources related to Danske Bank's direct competition is more important than ever and may enhance your ability to predict Danske Bank's future price movements. Getting to know how Danske Bank's peers react to changing market sentiment, related social signals, and mainstream news is a great way to find investing opportunities and time the market. The summary table below summarizes the essential lagging indicators that can help you analyze how Danske Bank may potentially react to the hype associated with one of its peers.
Hype
Elasticity
News
Density
Semi
Deviation
Information
Ratio
Potential
Upside
Value
At Risk
Maximum
Drawdown
SVKEFSkandinaviska Enskilda Banken 0.00 0 per month 0.00  0.15  3.64  0.00  10.30 
BKRKYBank Rakyat 0.00 0 per month 1.21  0  2.50 (1.96) 6.48 
DNBBYDNB Bank ASA 0.00 0 per month 1.33  0.01  1.73 (1.55) 5.04 
SWDBYSwedbank AB 0.00 0 per month 0.66  0.26  2.27 (1.59) 4.54 
BKRKFPT Bank Rakyat 0.00 0 per month 5.21 (0.01) 5.26 (8.70) 47.81 
SWDBFSwedbank AB 0.00 0 per month 1.35  0.16  4.00 (3.02) 9.33 
DNBBFDNB Bank ASA 0.00 0 per month 2.65 (0.01) 4.50 (4.84) 10.57 
EBKOFErste Group Bank 0.00 0 per month 0.86  0.22  3.38 (1.61) 9.27 
HSNGYHang Seng Bank(0.11)6 per month 0.99 (0.07) 1.83 (2.08) 5.21 
HSNGFHang Seng Bank 0.00 0 per month 0.00  0.08  0.00  0.00  15.78 

Other Forecasting Options for Danske Bank

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

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

Danske Bank Market Strength Events

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

Danske Bank Risk Indicators

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

Story Coverage note for Danske Bank

The number of cover stories for Danske Bank depends on current market conditions and Danske Bank's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Danske Bank is classified under. However, while its typical story may have numerous social followers, the rapid visibility can also attract short-sellers, who usually are skeptical about Danske Bank's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.

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Other Information on Investing in Danske Pink Sheet

Danske Bank financial ratios help investors to determine whether Danske Pink Sheet is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Danske with respect to the benefits of owning Danske Bank security.