Kraft Bank Stock Forecast - Double Exponential Smoothing

KRAB Stock  NOK 8.40  0.50  5.62%   
The Double Exponential Smoothing forecasted value of Kraft Bank Asa on the next trading day is expected to be 8.35 with a mean absolute deviation of 0.13 and the sum of the absolute errors of 7.97. Kraft Stock Forecast is based on your current time horizon.
  
Double exponential smoothing - also known as Holt exponential smoothing is a refinement of the popular simple exponential smoothing model with an additional trending component. Double exponential smoothing model for Kraft Bank works best with periods where there are trends or seasonality.

Kraft Bank Double Exponential Smoothing Price Forecast For the 28th of November

Given 90 days horizon, the Double Exponential Smoothing forecasted value of Kraft Bank Asa on the next trading day is expected to be 8.35 with a mean absolute deviation of 0.13, mean absolute percentage error of 0.04, and the sum of the absolute errors of 7.97.
Please note that although there have been many attempts to predict Kraft 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 Kraft Bank's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Kraft Bank Stock Forecast Pattern

Backtest Kraft BankKraft Bank Price PredictionBuy or Sell Advice 

Kraft Bank Forecasted Value

In the context of forecasting Kraft 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. Kraft Bank's downside and upside margins for the forecasting period are 6.30 and 10.40, respectively. We have considered Kraft 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
8.40
8.35
Expected Value
10.40
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Double Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Kraft Bank stock data series using in forecasting. Note that when a statistical model is used to represent Kraft 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 CriteriaHuge
BiasArithmetic mean of the errors 0.036
MADMean absolute deviation0.1329
MAPEMean absolute percentage error0.0149
SAESum of the absolute errors7.9711
When Kraft Bank Asa prices exhibit either an increasing or decreasing trend over time, simple exponential smoothing forecasts tend to lag behind observations. Double exponential smoothing is designed to address this type of data series by taking into account any Kraft Bank Asa trend in the prices. So in double exponential smoothing past observations are given exponentially smaller weights as the observations get older. In other words, recent Kraft Bank observations are given relatively more weight in forecasting than the older observations.

Predictive Modules for Kraft 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 Kraft Bank Asa. 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
6.358.4010.45
Details
Intrinsic
Valuation
LowRealHigh
6.588.6210.68
Details

Other Forecasting Options for Kraft Bank

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

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

Kraft Bank Asa 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 Kraft 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 Kraft Bank's current price.

Kraft Bank Market Strength Events

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

Kraft Bank Risk Indicators

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

Building efficient market-beating portfolios requires time, education, and a lot of computing power!

The Portfolio Architect is an AI-driven system that provides multiple benefits to our users by leveraging cutting-edge machine learning algorithms, statistical analysis, and predictive modeling to automate the process of asset selection and portfolio construction, saving time and reducing human error for individual and institutional investors.

Try AI Portfolio Architect

Other Information on Investing in Kraft Stock

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