SKAGEN M Stock Forecast - Polynomial Regression
| SKIM2 Stock | DKK 163.00 0.10 0.06% |
The Polynomial Regression forecasted value of SKAGEN m on the next trading day is expected to be 160.86 with a mean absolute deviation of 1.26 and the sum of the absolute errors of 78.40. SKAGEN Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast SKAGEN M stock prices and determine the direction of SKAGEN m's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of SKAGEN M's historical fundamentals, such as revenue growth or operating cash flow patterns.
Check out fundamental analysis of SKAGEN M to check your projections. SKAGEN |
Most investors in SKAGEN M 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 SKAGEN M's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets SKAGEN M's price structures and extracts relationships that further increase the generated results' accuracy.
SKAGEN M polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for SKAGEN m as well as the accuracy indicators are determined from the period prices. SKAGEN M Polynomial Regression Price Forecast For the 26th of April
Given 90 days horizon, the Polynomial Regression forecasted value of SKAGEN m on the next trading day is expected to be 160.86 with a mean absolute deviation of 1.26, mean absolute percentage error of 2.32, and the sum of the absolute errors of 78.40.Please note that although there have been many attempts to predict SKAGEN 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 SKAGEN M's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
SKAGEN M Stock Forecast Pattern
SKAGEN M Forecasted Value
In the context of forecasting SKAGEN M'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. SKAGEN M's downside and upside margins for the forecasting period are 160.06 and 161.66, respectively. We have considered SKAGEN M'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 Polynomial Regression forecasting method's relative quality and the estimations of the prediction error of SKAGEN M stock data series using in forecasting. Note that when a statistical model is used to represent SKAGEN M 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 | 120.7887 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 1.2646 |
| MAPE | Mean absolute percentage error | 0.0076 |
| SAE | Sum of the absolute errors | 78.4024 |
Predictive Modules for SKAGEN M
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as SKAGEN m. 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.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of SKAGEN M'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 SKAGEN M
For every potential investor in SKAGEN, whether a beginner or expert, SKAGEN M's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. SKAGEN Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in SKAGEN. Basic forecasting techniques help filter out the noise by identifying SKAGEN M's price trends.SKAGEN M 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 SKAGEN M stock to make a market-neutral strategy. Peer analysis of SKAGEN M could also be used in its relative valuation, which is a method of valuing SKAGEN M by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
SKAGEN m 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 SKAGEN M'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 SKAGEN M's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
SKAGEN M Market Strength Events
Market strength indicators help investors to evaluate how SKAGEN M stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading SKAGEN M shares will generate the highest return on investment. By undertsting and applying SKAGEN M stock market strength indicators, traders can identify SKAGEN m entry and exit signals to maximize returns.
SKAGEN M Risk Indicators
The analysis of SKAGEN M'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 SKAGEN M's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting skagen 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 | 0.5418 | |||
| Standard Deviation | 0.7883 | |||
| Variance | 0.6214 |
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.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards SKAGEN M in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, SKAGEN M's short interest history, or implied volatility extrapolated from SKAGEN M options trading.
Currently Active Assets on Macroaxis
Check out fundamental analysis of SKAGEN M to check your projections. Note that the SKAGEN m information on this page should be used as a complementary analysis to other SKAGEN M'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 Alpha Finder module to use alpha and beta coefficients to find investment opportunities after accounting for the risk.
Complementary Tools for SKAGEN Stock analysis
When running SKAGEN M's price analysis, check to measure SKAGEN M'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 SKAGEN M is operating at the current time. Most of SKAGEN M's value examination focuses on studying past and present price action to predict the probability of SKAGEN M's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move SKAGEN M's price. Additionally, you may evaluate how the addition of SKAGEN M to your portfolios can decrease your overall portfolio volatility.
| USA ETFs Find actively traded Exchange Traded Funds (ETF) in USA | |
| Economic Indicators Top statistical indicators that provide insights into how an economy is performing | |
| Piotroski F Score Get Piotroski F Score based on the binary analysis strategy of nine different fundamentals | |
| Positions Ratings Determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance | |
| Efficient Frontier Plot and analyze your portfolio and positions against risk-return landscape of the market. | |
| Idea Breakdown Analyze constituents of all Macroaxis ideas. Macroaxis investment ideas are predefined, sector-focused investing themes | |
| AI Portfolio Architect Use AI to generate optimal portfolios and find profitable investment opportunities | |
| Correlation Analysis Reduce portfolio risk simply by holding instruments which are not perfectly correlated | |
| Price Ceiling Movement Calculate and plot Price Ceiling Movement for different equity instruments | |
| Options Analysis Analyze and evaluate options and option chains as a potential hedge for your portfolios | |
| Analyst Advice Analyst recommendations and target price estimates broken down by several categories | |
| Top Crypto Exchanges Search and analyze digital assets across top global cryptocurrency exchanges |