Danske Bank Pink Sheet Forecast - Simple Moving Average
| DNKEY Stock | USD 14.87 0.13 0.87% |
The Simple Moving Average forecasted value of Danske Bank AS on the next trading day is expected to be 14.87 with a mean absolute deviation of 0.16 and the sum of the absolute errors of 9.85. Danske Pink Sheet Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Danske Bank stock prices and determine the direction of Danske Bank AS's future trends based on various well-known forecasting models. 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.
Check out Historical Fundamental Analysis of Danske Bank to cross-verify your projections. Danske |
Most investors in Danske Bank 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 Danske Bank's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Danske Bank's price structures and extracts relationships that further increase the generated results' accuracy.
A two period moving average forecast for Danske Bank is based on an daily price series in which the stock price on a given day is replaced by the mean of that price and the preceding price. This model is best suited to price patterns experiencing average volatility. Danske Bank Simple Moving Average Price Forecast For the 26th of April
Given 90 days horizon, the Simple Moving Average forecasted value of Danske Bank AS on the next trading day is expected to be 14.87 with a mean absolute deviation of 0.16, mean absolute percentage error of 0.05, and the sum of the absolute errors of 9.85.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
| Backtest Danske Bank | Danske Bank Price Prediction | Buy or Sell Advice |
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 13.36 and 16.38, 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.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Simple Moving Average 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.| AIC | Akaike Information Criteria | 113.2907 |
| Bias | Arithmetic mean of the errors | -0.0316 |
| MAD | Mean absolute deviation | 0.1642 |
| MAPE | Mean absolute percentage error | 0.0112 |
| SAE | Sum of the absolute errors | 9.855 |
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.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Danske Bank'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 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 AS 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 Danske Bank'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 Danske Bank's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
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.
| Mean Deviation | 1.14 | |||
| Semi Deviation | 1.13 | |||
| Standard Deviation | 1.54 | |||
| Variance | 2.37 | |||
| Downside Variance | 1.72 | |||
| Semi Variance | 1.28 | |||
| Expected Short fall | (1.28) |
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.
Pair Trading with Danske Bank
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Danske Bank position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Danske Bank will appreciate offsetting losses from the drop in the long position's value.Moving against Danske Pink Sheet
| 0.68 | AVAL | Grupo Aval Financial Report 15th of May 2024 | PairCorr |
| 0.64 | BA | Boeing Financial Report 24th of July 2024 | PairCorr |
| 0.53 | MCD | McDonalds Earnings Call This Week | PairCorr |
| 0.47 | TLK | Telkom Indonesia Tbk Financial Report 26th of April 2024 | PairCorr |
| 0.45 | VFS | VinFast Auto Financial Report 20th of May 2024 | PairCorr |
The ability to find closely correlated positions to Danske Bank could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Danske Bank when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Danske Bank - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Danske Bank AS to buy it.
The correlation of Danske Bank is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Danske Bank moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Danske Bank AS moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Danske Bank can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Check out Historical Fundamental Analysis of Danske Bank to cross-verify your projections. Note that the Danske Bank AS information on this page should be used as a complementary analysis to other Danske Bank's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Sign In To Macroaxis module to sign in to explore Macroaxis' wealth optimization platform and fintech modules.
Complementary Tools for Danske Pink Sheet analysis
When running Danske Bank's price analysis, check to measure Danske Bank'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 Danske Bank is operating at the current time. Most of Danske Bank's value examination focuses on studying past and present price action to predict the probability of Danske Bank's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Danske Bank's price. Additionally, you may evaluate how the addition of Danske Bank to your portfolios can decrease your overall portfolio volatility.
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