Pf Bakkafrost Stock Forecast - Simple Exponential Smoothing
| BAKKA Stock | NOK 651.50 1.50 0.23% |
The Simple Exponential Smoothing forecasted value of Pf Bakkafrost on the next trading day is expected to be 651.47 with a mean absolute deviation of 7.21 and the sum of the absolute errors of 432.39. BAKKA Stock Forecast is based on your current time horizon.
BAKKA |
Pf Bakkafrost Simple Exponential Smoothing Price Forecast For the 5th of December
Given 90 days horizon, the Simple Exponential Smoothing forecasted value of Pf Bakkafrost on the next trading day is expected to be 651.47 with a mean absolute deviation of 7.21, mean absolute percentage error of 100.39, and the sum of the absolute errors of 432.39.Please note that although there have been many attempts to predict BAKKA 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 Pf Bakkafrost's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Pf Bakkafrost Stock Forecast Pattern
| Backtest Pf Bakkafrost | Pf Bakkafrost Price Prediction | Buy or Sell Advice |
Pf Bakkafrost Forecasted Value
In the context of forecasting Pf Bakkafrost'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. Pf Bakkafrost's downside and upside margins for the forecasting period are 649.81 and 653.14, respectively. We have considered Pf Bakkafrost'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 Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Pf Bakkafrost stock data series using in forecasting. Note that when a statistical model is used to represent Pf Bakkafrost 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.| AIC | Akaike Information Criteria | 120.8816 |
| Bias | Arithmetic mean of the errors | -1.2608 |
| MAD | Mean absolute deviation | 7.2065 |
| MAPE | Mean absolute percentage error | 0.0113 |
| SAE | Sum of the absolute errors | 432.3914 |
Predictive Modules for Pf Bakkafrost
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Pf Bakkafrost. 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.Other Forecasting Options for Pf Bakkafrost
For every potential investor in BAKKA, whether a beginner or expert, Pf Bakkafrost's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. BAKKA Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in BAKKA. Basic forecasting techniques help filter out the noise by identifying Pf Bakkafrost's price trends.Pf Bakkafrost 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 Pf Bakkafrost stock to make a market-neutral strategy. Peer analysis of Pf Bakkafrost could also be used in its relative valuation, which is a method of valuing Pf Bakkafrost by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Pf Bakkafrost 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 Pf Bakkafrost'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 Pf Bakkafrost's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Pf Bakkafrost Market Strength Events
Market strength indicators help investors to evaluate how Pf Bakkafrost stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Pf Bakkafrost shares will generate the highest return on investment. By undertsting and applying Pf Bakkafrost stock market strength indicators, traders can identify Pf Bakkafrost entry and exit signals to maximize returns.
Pf Bakkafrost Risk Indicators
The analysis of Pf Bakkafrost'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 Pf Bakkafrost's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting bakka 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.
| Mean Deviation | 1.19 | |||
| Semi Deviation | 1.32 | |||
| Standard Deviation | 1.68 | |||
| Variance | 2.84 | |||
| Downside Variance | 2.54 | |||
| Semi Variance | 1.75 | |||
| Expected Short fall | (1.33) |
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 ArchitectOther Information on Investing in BAKKA Stock
Pf Bakkafrost financial ratios help investors to determine whether BAKKA 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 BAKKA with respect to the benefits of owning Pf Bakkafrost security.