Quidel Stock Market Value
| QDEL Stock | USD 41.35 0.25 0.60% |
| Symbol | Quidel |
Quidel Price To Book Ratio
Is Health Care Equipment & Supplies space 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 Quidel. If investors know Quidel 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 Quidel 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 (0.77) | Earnings Share (27.81) | Revenue Per Share 42.04 | Quarterly Revenue Growth (0.02) | Return On Assets 0.0104 |
The market value of Quidel is measured differently than its book value, which is the value of Quidel that is recorded on the company's balance sheet. Investors also form their own opinion of Quidel's value that differs from its market value or its book value, called intrinsic value, which is Quidel'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 Quidel's market value can be influenced by many factors that don't directly affect Quidel'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 Quidel's value and its price as these two are different measures arrived at by different means. Investors typically determine if Quidel is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Quidel'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.
Quidel '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 Quidel'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 Quidel.
| 12/27/2022 |
| 12/16/2024 |
If you would invest 0.00 in Quidel on December 27, 2022 and sell it all today you would earn a total of 0.00 from holding Quidel or generate 0.0% return on investment in Quidel over 720 days. Quidel is related to or competes with Tandem Diabetes, DexCom, Inspire Medical, Penumbra, Glaukos Corp, CONMED, and LivaNova PLC. QuidelOrtho Corporation focuses on the development and manufacture of diagnostic testing technologies across the continu... More
Quidel 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 Quidel'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 Quidel upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.06) | |||
| Maximum Drawdown | 19.75 | |||
| Value At Risk | (4.47) | |||
| Potential Upside | 5.94 |
Quidel Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Quidel's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Quidel's standard deviation. In reality, there are many statistical measures that can use Quidel historical prices to predict the future Quidel's volatility.| Risk Adjusted Performance | (0.01) | |||
| Jensen Alpha | (0.20) | |||
| Total Risk Alpha | (0.47) | |||
| Treynor Ratio | (0.07) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Quidel'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.
Quidel Backtested Returns
Quidel maintains Sharpe Ratio (i.e., Efficiency) of -0.0428, which implies the firm had a -0.0428% return per unit of risk over the last 3 months. Quidel exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check Quidel's Variance of 9.32, coefficient of variation of (3,997), and Risk Adjusted Performance of (0.01) to confirm the risk estimate we provide. The company holds a Beta of 1.3, which implies a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Quidel will likely underperform. At this point, Quidel has a negative expected return of -0.13%. Please make sure to check Quidel's value at risk, as well as the relationship between the accumulation distribution and day typical price , to decide if Quidel performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.28 |
Poor predictability
Quidel has poor predictability. Overlapping area represents the amount of predictability between Quidel time series from 27th of December 2022 to 22nd of December 2023 and 22nd of December 2023 to 16th of December 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 Quidel price movement. The serial correlation of 0.28 indicates that nearly 28.0% of current Quidel price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.28 | |
| Spearman Rank Test | 0.45 | |
| Residual Average | 0.0 | |
| Price Variance | 123.47 |
Quidel lagged returns against current returns
Autocorrelation, which is Quidel 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 Quidel's stock expected returns. We can calculate the autocorrelation of Quidel returns to help us make a trade decision. For example, suppose you find that Quidel 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 |
Quidel 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 Quidel stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Quidel stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Quidel stock over time.
Current vs Lagged Prices |
| Timeline |
Quidel Lagged Returns
When evaluating Quidel's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Quidel stock have on its future price. Quidel 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, Quidel autocorrelation shows the relationship between Quidel stock current value and its past values and can show if there is a momentum factor associated with investing in Quidel.
Regressed Prices |
| Timeline |
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Quidel 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.