Jyske Bank Stock Forecast - 4 Period Moving Average

JYSK Stock  DKK 490.40  4.60  0.93%   
The 4 Period Moving Average forecasted value of Jyske Bank AS on the next trading day is expected to be 493.35 with a mean absolute deviation of 7.44 and the sum of the absolute errors of 423.80. Jyske Stock Forecast is based on your current time horizon.
  
A four-period moving average forecast model for Jyske Bank AS is based on an artificially constructed daily price series in which the value for a given day is replaced by the mean of that value and the values for four preceding and succeeding time periods. This model is best suited to forecast equities with high volatility.

Jyske Bank 4 Period Moving Average Price Forecast For the 24th of November

Given 90 days horizon, the 4 Period Moving Average forecasted value of Jyske Bank AS on the next trading day is expected to be 493.35 with a mean absolute deviation of 7.44, mean absolute percentage error of 140.91, and the sum of the absolute errors of 423.80.
Please note that although there have been many attempts to predict Jyske 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 Jyske Bank's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Jyske Bank Stock Forecast Pattern

Backtest Jyske BankJyske Bank Price PredictionBuy or Sell Advice 

Jyske Bank Forecasted Value

In the context of forecasting Jyske Bank's 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. Jyske Bank's downside and upside margins for the forecasting period are 491.74 and 494.96, respectively. We have considered Jyske 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
490.40
491.74
Downside
493.35
Expected Value
494.96
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the 4 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of Jyske Bank stock data series using in forecasting. Note that when a statistical model is used to represent Jyske Bank 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 Criteria115.7071
BiasArithmetic mean of the errors 1.9588
MADMean absolute deviation7.4351
MAPEMean absolute percentage error0.0148
SAESum of the absolute errors423.8
The four period moving average method has an advantage over other forecasting models in that it does smooth out peaks and troughs in a set of daily price observations of Jyske Bank. However, it also has several disadvantages. In particular this model does not produce an actual prediction equation for Jyske Bank AS and therefore, it cannot be a useful forecasting tool for medium or long range price predictions

Predictive Modules for Jyske 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 Jyske Bank AS. 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
488.79490.40492.01
Details
Intrinsic
Valuation
LowRealHigh
356.38357.99539.44
Details
Bollinger
Band Projection (param)
LowMiddleHigh
487.60491.93496.27
Details

Other Forecasting Options for Jyske Bank

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

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

Jyske Bank AS 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 Jyske 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 Jyske Bank's current price.

Jyske Bank Market Strength Events

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

Jyske Bank Risk Indicators

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

Pair Trading with Jyske 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 Jyske 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 Jyske Bank will appreciate offsetting losses from the drop in the long position's value.

Moving together with Jyske Stock

  0.75CONFRZ Conferize ASPairCorr
  0.8MONSO Monsenso ASPairCorr
  0.71ESG Ennogie Solar GroupPairCorr

Moving against Jyske Stock

  0.6MAJDKO Maj InvestPairCorr
  0.5DKIGLOVO Danske InvestPairCorr
  0.44MAJPEN Maj Invest PensionPairCorr
  0.37DKINYM InvesteringsforeningenPairCorr
The ability to find closely correlated positions to Jyske 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 Jyske 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 Jyske 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 Jyske Bank AS to buy it.
The correlation of Jyske 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 Jyske Bank moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Jyske 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 Jyske 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.
Pair CorrelationCorrelation Matching

Other Information on Investing in Jyske Stock

Jyske Bank financial ratios help investors to determine whether Jyske Stock 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 Jyske with respect to the benefits of owning Jyske Bank security.