QIAGEN NV Stock Forecast - Simple Regression
QIA Stock | EUR 43.86 0.19 0.44% |
The Simple Regression forecasted value of QIAGEN NV on the next trading day is expected to be 41.64 with a mean absolute deviation of 0.81 and the sum of the absolute errors of 49.70. QIAGEN Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast QIAGEN NV stock prices and determine the direction of QIAGEN NV's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of QIAGEN NV's historical fundamentals, such as revenue growth or operating cash flow patterns.
QIAGEN |
QIAGEN NV Simple Regression Price Forecast For the 15th of December 2024
Given 90 days horizon, the Simple Regression forecasted value of QIAGEN NV on the next trading day is expected to be 41.64 with a mean absolute deviation of 0.81, mean absolute percentage error of 1.12, and the sum of the absolute errors of 49.70.Please note that although there have been many attempts to predict QIAGEN 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 QIAGEN NV's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
QIAGEN NV Stock Forecast Pattern
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QIAGEN NV Forecasted Value
In the context of forecasting QIAGEN NV'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. QIAGEN NV's downside and upside margins for the forecasting period are 40.42 and 42.85, respectively. We have considered QIAGEN NV'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 Regression forecasting method's relative quality and the estimations of the prediction error of QIAGEN NV stock data series using in forecasting. Note that when a statistical model is used to represent QIAGEN NV 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 | 118.224 |
Bias | Arithmetic mean of the errors | None |
MAD | Mean absolute deviation | 0.8147 |
MAPE | Mean absolute percentage error | 0.0202 |
SAE | Sum of the absolute errors | 49.6977 |
Predictive Modules for QIAGEN NV
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as QIAGEN NV. 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 QIAGEN NV
For every potential investor in QIAGEN, whether a beginner or expert, QIAGEN NV's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. QIAGEN Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in QIAGEN. Basic forecasting techniques help filter out the noise by identifying QIAGEN NV's price trends.QIAGEN NV 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 QIAGEN NV stock to make a market-neutral strategy. Peer analysis of QIAGEN NV could also be used in its relative valuation, which is a method of valuing QIAGEN NV by comparing valuation metrics with similar companies.
Risk & Return | Correlation |
QIAGEN NV 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 QIAGEN NV'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 QIAGEN NV's current price.Cycle Indicators | ||
Math Operators | ||
Math Transform | ||
Momentum Indicators | ||
Overlap Studies | ||
Pattern Recognition | ||
Price Transform | ||
Statistic Functions | ||
Volatility Indicators | ||
Volume Indicators |
QIAGEN NV Market Strength Events
Market strength indicators help investors to evaluate how QIAGEN NV stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading QIAGEN NV shares will generate the highest return on investment. By undertsting and applying QIAGEN NV stock market strength indicators, traders can identify QIAGEN NV entry and exit signals to maximize returns.
QIAGEN NV Risk Indicators
The analysis of QIAGEN NV'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 QIAGEN NV's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting qiagen 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 | 0.8509 | |||
Semi Deviation | 0.8543 | |||
Standard Deviation | 1.24 | |||
Variance | 1.54 | |||
Downside Variance | 0.9097 | |||
Semi Variance | 0.7299 | |||
Expected Short fall | (0.94) |
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.Additional Information and Resources on Investing in QIAGEN Stock
When determining whether QIAGEN NV offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of QIAGEN NV's financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Qiagen Nv Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Qiagen Nv Stock:Check out Historical Fundamental Analysis of QIAGEN NV to cross-verify your projections. For information on how to trade QIAGEN Stock refer to our How to Trade QIAGEN Stock guide.You can also try the Transaction History module to view history of all your transactions and understand their impact on performance.