Glunz Jensen Stock Forecast - Polynomial Regression
| GJ Stock | DKK 71.00 0.50 0.70% |
The Polynomial Regression forecasted value of Glunz Jensen on the next trading day is expected to be 72.15 with a mean absolute deviation of 1.03 and the sum of the absolute errors of 63.03. Glunz Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Glunz Jensen stock prices and determine the direction of Glunz Jensen's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Glunz Jensen's historical fundamentals, such as revenue growth or operating cash flow patterns.
Check out Historical Fundamental Analysis of Glunz Jensen to cross-verify your projections. Glunz |
Most investors in Glunz Jensen 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 Glunz Jensen's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Glunz Jensen's price structures and extracts relationships that further increase the generated results' accuracy.
Glunz Jensen polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Glunz Jensen as well as the accuracy indicators are determined from the period prices. Glunz Jensen Polynomial Regression Price Forecast For the 25th of April
Given 90 days horizon, the Polynomial Regression forecasted value of Glunz Jensen on the next trading day is expected to be 72.15 with a mean absolute deviation of 1.03, mean absolute percentage error of 1.41, and the sum of the absolute errors of 63.03.Please note that although there have been many attempts to predict Glunz 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 Glunz Jensen's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Glunz Jensen Stock Forecast Pattern
| Backtest Glunz Jensen | Glunz Jensen Price Prediction | Buy or Sell Advice |
Glunz Jensen Forecasted Value
In the context of forecasting Glunz Jensen'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. Glunz Jensen's downside and upside margins for the forecasting period are 70.62 and 73.69, respectively. We have considered Glunz Jensen'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 Glunz Jensen stock data series using in forecasting. Note that when a statistical model is used to represent Glunz Jensen 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 | 118.4511 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 1.0333 |
| MAPE | Mean absolute percentage error | 0.0148 |
| SAE | Sum of the absolute errors | 63.0299 |
Predictive Modules for Glunz Jensen
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Glunz Jensen. 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 Glunz Jensen'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 Glunz Jensen
For every potential investor in Glunz, whether a beginner or expert, Glunz Jensen's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Glunz Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Glunz. Basic forecasting techniques help filter out the noise by identifying Glunz Jensen's price trends.Glunz Jensen 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 Glunz Jensen stock to make a market-neutral strategy. Peer analysis of Glunz Jensen could also be used in its relative valuation, which is a method of valuing Glunz Jensen by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Glunz Jensen 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 Glunz Jensen'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 Glunz Jensen's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Glunz Jensen Market Strength Events
Market strength indicators help investors to evaluate how Glunz Jensen stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Glunz Jensen shares will generate the highest return on investment. By undertsting and applying Glunz Jensen stock market strength indicators, traders can identify Glunz Jensen entry and exit signals to maximize returns.
Glunz Jensen Risk Indicators
The analysis of Glunz Jensen'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 Glunz Jensen's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting glunz 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 | 0.7606 | |||
| Semi Deviation | 1.11 | |||
| Standard Deviation | 1.53 | |||
| Variance | 2.35 | |||
| Downside Variance | 8.17 | |||
| Semi Variance | 1.23 | |||
| Expected Short fall | (2.07) |
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.
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Try AI Portfolio ArchitectCheck out Historical Fundamental Analysis of Glunz Jensen to cross-verify your projections. Note that the Glunz Jensen information on this page should be used as a complementary analysis to other Glunz Jensen'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 Funds Screener module to find actively-traded funds from around the world traded on over 30 global exchanges.
Complementary Tools for Glunz Stock analysis
When running Glunz Jensen's price analysis, check to measure Glunz Jensen'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 Glunz Jensen is operating at the current time. Most of Glunz Jensen's value examination focuses on studying past and present price action to predict the probability of Glunz Jensen's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Glunz Jensen's price. Additionally, you may evaluate how the addition of Glunz Jensen to your portfolios can decrease your overall portfolio volatility.
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