Kreditbanken Stock Forecast - 8 Period Moving Average

KRE Stock  DKK 4,980  70.00  1.39%   
The 8 Period Moving Average forecasted value of Kreditbanken AS on the next trading day is expected to be 5,021 with a mean absolute deviation of 39.81 and the sum of the absolute errors of 2,110. Kreditbanken Stock Forecast is based on your current time horizon.
  
An 8-period moving average forecast model for Kreditbanken is based on an artificially constructed time series of Kreditbanken daily prices in which the value for a trading day is replaced by the mean of that value and the values for 8 of preceding and succeeding time periods. This model is best suited for price series data that changes over time.

Kreditbanken 8 Period Moving Average Price Forecast For the 28th of November

Given 90 days horizon, the 8 Period Moving Average forecasted value of Kreditbanken AS on the next trading day is expected to be 5,021 with a mean absolute deviation of 39.81, mean absolute percentage error of 2,127, and the sum of the absolute errors of 2,110.
Please note that although there have been many attempts to predict Kreditbanken 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 Kreditbanken's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Kreditbanken Stock Forecast Pattern

Backtest KreditbankenKreditbanken Price PredictionBuy or Sell Advice 

Kreditbanken Forecasted Value

In the context of forecasting Kreditbanken'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. Kreditbanken's downside and upside margins for the forecasting period are 5,020 and 5,022, respectively. We have considered Kreditbanken'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
4,980
5,021
Expected Value
5,022
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the 8 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of Kreditbanken stock data series using in forecasting. Note that when a statistical model is used to represent Kreditbanken 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 Criteria111.07
BiasArithmetic mean of the errors -1.0377
MADMean absolute deviation39.8113
MAPEMean absolute percentage error0.0079
SAESum of the absolute errors2110.0
The eieght-period moving average method has an advantage over other forecasting models in that it does smooth out peaks and valleys in a set of daily observations. Kreditbanken AS 8-period moving average forecast can only be used reliably to predict one or two periods into the future.

Predictive Modules for Kreditbanken

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Kreditbanken 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
4,9794,9804,981
Details
Intrinsic
Valuation
LowRealHigh
4,7584,7605,478
Details
Bollinger
Band Projection (param)
LowMiddleHigh
4,9415,0305,120
Details

Other Forecasting Options for Kreditbanken

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

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

Kreditbanken 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 Kreditbanken'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 Kreditbanken's current price.

Kreditbanken Market Strength Events

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

Kreditbanken Risk Indicators

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

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 Kreditbanken 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 Kreditbanken will appreciate offsetting losses from the drop in the long position's value.
The ability to find closely correlated positions to Kreditbanken could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Kreditbanken 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 Kreditbanken - 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 Kreditbanken AS to buy it.
The correlation of Kreditbanken 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 Kreditbanken moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Kreditbanken 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 Kreditbanken 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 Kreditbanken Stock

Kreditbanken financial ratios help investors to determine whether Kreditbanken 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 Kreditbanken with respect to the benefits of owning Kreditbanken security.