Uponor Oyj Stock Forecast - Polynomial Regression
| UPONOR Stock | EUR 28.60 0.05 0.18% |
The Polynomial Regression forecasted value of Uponor Oyj on the next trading day is expected to be 28.60 with a mean absolute deviation of 0.03 and the sum of the absolute errors of 1.99. Uponor Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Uponor Oyj stock prices and determine the direction of Uponor Oyj's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Uponor Oyj's historical fundamentals, such as revenue growth or operating cash flow patterns.
Check out Historical Fundamental Analysis of Uponor Oyj to cross-verify your projections. Uponor |
Most investors in Uponor Oyj 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 Uponor Oyj's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Uponor Oyj's price structures and extracts relationships that further increase the generated results' accuracy.
Uponor Oyj polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Uponor Oyj as well as the accuracy indicators are determined from the period prices. Uponor Oyj Polynomial Regression Price Forecast For the 27th of April
Given 90 days horizon, the Polynomial Regression forecasted value of Uponor Oyj on the next trading day is expected to be 28.60 with a mean absolute deviation of 0.03, mean absolute percentage error of 0, and the sum of the absolute errors of 1.99.Please note that although there have been many attempts to predict Uponor 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 Uponor Oyj's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Uponor Oyj Stock Forecast Pattern
| Backtest Uponor Oyj | Uponor Oyj Price Prediction | Buy or Sell Advice |
Uponor Oyj Forecasted Value
In the context of forecasting Uponor Oyj'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. Uponor Oyj's downside and upside margins for the forecasting period are 28.43 and 28.77, respectively. We have considered Uponor Oyj'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 Uponor Oyj stock data series using in forecasting. Note that when a statistical model is used to represent Uponor Oyj 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 | 113.5918 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.0321 |
| MAPE | Mean absolute percentage error | 0.0011 |
| SAE | Sum of the absolute errors | 1.9889 |
Predictive Modules for Uponor Oyj
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Uponor Oyj. 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 Uponor Oyj'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 Uponor Oyj
For every potential investor in Uponor, whether a beginner or expert, Uponor Oyj's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Uponor Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Uponor. Basic forecasting techniques help filter out the noise by identifying Uponor Oyj's price trends.Uponor Oyj 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 Uponor Oyj stock to make a market-neutral strategy. Peer analysis of Uponor Oyj could also be used in its relative valuation, which is a method of valuing Uponor Oyj by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Uponor Oyj 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 Uponor Oyj'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 Uponor Oyj's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Uponor Oyj Market Strength Events
Market strength indicators help investors to evaluate how Uponor Oyj stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Uponor Oyj shares will generate the highest return on investment. By undertsting and applying Uponor Oyj stock market strength indicators, traders can identify Uponor Oyj entry and exit signals to maximize returns.
Uponor Oyj Risk Indicators
The analysis of Uponor Oyj'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 Uponor Oyj's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting uponor 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 | 0.1255 | |||
| Standard Deviation | 0.171 | |||
| Variance | 0.0292 | |||
| Downside Variance | 0.0464 | |||
| Semi Variance | (0) | |||
| Expected Short fall | (0.18) |
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.
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.Check out Historical Fundamental Analysis of Uponor Oyj to cross-verify your projections. You can also try the Sectors module to list of equity sectors categorizing publicly traded companies based on their primary business activities.
Complementary Tools for Uponor Stock analysis
When running Uponor Oyj's price analysis, check to measure Uponor Oyj'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 Uponor Oyj is operating at the current time. Most of Uponor Oyj's value examination focuses on studying past and present price action to predict the probability of Uponor Oyj's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Uponor Oyj's price. Additionally, you may evaluate how the addition of Uponor Oyj to your portfolios can decrease your overall portfolio volatility.
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