Qiagen Nv Stock Market Value
QGEN Stock | USD 42.75 0.05 0.12% |
Symbol | Qiagen |
Qiagen NV Price To Book Ratio
Is Qiagen NV's industry expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Qiagen NV. If investors know Qiagen will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Qiagen NV listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth 0.089 | Earnings Share 1.52 | Revenue Per Share 8.881 | Quarterly Revenue Growth 0.022 | Return On Assets 0.0449 |
The market value of Qiagen NV is measured differently than its book value, which is the value of Qiagen that is recorded on the company's balance sheet. Investors also form their own opinion of Qiagen NV's value that differs from its market value or its book value, called intrinsic value, which is Qiagen NV's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Qiagen NV's market value can be influenced by many factors that don't directly affect Qiagen NV's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Qiagen NV's value and its price as these two are different measures arrived at by different means. Investors typically determine if Qiagen NV is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Qiagen NV's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.
Qiagen NV 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Qiagen NV's stock what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Qiagen NV.
04/08/2022 |
| 03/28/2024 |
If you would invest 0.00 in Qiagen NV on April 8, 2022 and sell it all today you would earn a total of 0.00 from holding Qiagen NV or generate 0.0% return on investment in Qiagen NV over 720 days. Qiagen NV is related to or competes with Mustang Bio, Moleculin Biotech, Seres Therapeutics, Madrigal Pharmaceuticals, Equillium, Kineta, and 23Andme Holding. QIAGEN N.V. offers sample to insight solutions that transform biological materials into molecular insights worldwide More
Qiagen NV Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Qiagen NV's stock current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Qiagen NV upside and downside potential and time the market with a certain degree of confidence.
Information Ratio | (0.11) | |||
Maximum Drawdown | 9.04 | |||
Value At Risk | (2.19) | |||
Potential Upside | 1.54 |
Qiagen NV Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Qiagen NV's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Qiagen NV's standard deviation. In reality, there are many statistical measures that can use Qiagen NV historical prices to predict the future Qiagen NV's volatility.Risk Adjusted Performance | 0.0031 | |||
Jensen Alpha | (0.12) | |||
Total Risk Alpha | (0.30) | |||
Treynor Ratio | (0.02) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Qiagen NV'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.
Qiagen NV Backtested Returns
Qiagen NV maintains Sharpe Ratio (i.e., Efficiency) of -0.0137, which implies the firm had a -0.0137% return per unit of risk over the last 3 months. Qiagen NV exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check Qiagen NV's Coefficient Of Variation of (21,292), variance of 1.66, and Risk Adjusted Performance of 0.0031 to confirm the risk estimate we provide. The company holds a Beta of 0.87, which implies possible diversification benefits within a given portfolio. Qiagen NV returns are very sensitive to returns on the market. As the market goes up or down, Qiagen NV is expected to follow. Qiagen NV has an expected return of -0.0183%. Please make sure to check Qiagen NV treynor ratio, as well as the relationship between the kurtosis and day typical price , to decide if Qiagen NV performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.33 |
Below average predictability
Qiagen NV has below average predictability. Overlapping area represents the amount of predictability between Qiagen NV time series from 8th of April 2022 to 3rd of April 2023 and 3rd of April 2023 to 28th of March 2024. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Qiagen NV price movement. The serial correlation of 0.33 indicates that nearly 33.0% of current Qiagen NV price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.33 | |
Spearman Rank Test | -0.13 | |
Residual Average | 0.0 | |
Price Variance | 6.67 |
Qiagen NV lagged returns against current returns
Autocorrelation, which is Qiagen NV stock's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting Qiagen NV's stock expected returns. We can calculate the autocorrelation of Qiagen NV returns to help us make a trade decision. For example, suppose you find that Qiagen NV has exhibited high autocorrelation historically, and you observe that the stock is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
Timeline |
Qiagen NV regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If Qiagen NV stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Qiagen NV stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Qiagen NV stock over time.
Current vs Lagged Prices |
Timeline |
Qiagen NV Lagged Returns
When evaluating Qiagen NV's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Qiagen NV stock have on its future price. Qiagen NV autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, Qiagen NV autocorrelation shows the relationship between Qiagen NV stock current value and its past values and can show if there is a momentum factor associated with investing in Qiagen NV.
Regressed Prices |
Timeline |
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Macroaxis puts the power of mathematics on your side. We analyze your portfolios and positions such as Qiagen NV using complex mathematical models and algorithms, but make them easy to understand. There is no real person involved in your portfolio analysis. We perform a number of calculations to compute absolute and relative portfolio volatility, correlation between your assets, value at risk, expected return as well as over 100 different fundamental and technical indicators.Build Optimal Portfolios
Align your risk with return expectations
Check out Qiagen NV Correlation, Qiagen NV Volatility and Qiagen NV Alpha and Beta module to complement your research on Qiagen NV. To learn how to invest in Qiagen Stock, please use our How to Invest in Qiagen NV guide.Note that the Qiagen NV information on this page should be used as a complementary analysis to other Qiagen NV'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 Positions Ratings module to 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.
Complementary Tools for Qiagen Stock analysis
When running Qiagen NV's price analysis, check to measure Qiagen NV'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 Qiagen NV is operating at the current time. Most of Qiagen NV's value examination focuses on studying past and present price action to predict the probability of Qiagen NV's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Qiagen NV's price. Additionally, you may evaluate how the addition of Qiagen NV to your portfolios can decrease your overall portfolio volatility.
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Qiagen NV technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.