Agilent Technologies Stock Market Value
| A Stock | USD 138.14 3.77 2.81% |
| Symbol | Agilent |
Agilent Technologies Price To Book Ratio
Is Life Sciences Tools & Services 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 Agilent Technologies. If investors know Agilent 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 Agilent Technologies 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 1.569 | Earnings Share 4.81 | Revenue Per Share 22.269 | Quarterly Revenue Growth (0.06) | Return On Assets 0.0758 |
The market value of Agilent Technologies is measured differently than its book value, which is the value of Agilent that is recorded on the company's balance sheet. Investors also form their own opinion of Agilent Technologies' value that differs from its market value or its book value, called intrinsic value, which is Agilent Technologies' 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 Agilent Technologies' market value can be influenced by many factors that don't directly affect Agilent Technologies' 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 Agilent Technologies' value and its price as these two are different measures arrived at by different means. Investors typically determine if Agilent Technologies is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Agilent Technologies' 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.
Agilent Technologies '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 Agilent Technologies' 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 Agilent Technologies.
| 10/29/2024 |
| 11/28/2024 |
If you would invest 0.00 in Agilent Technologies on October 29, 2024 and sell it all today you would earn a total of 0.00 from holding Agilent Technologies or generate 0.0% return on investment in Agilent Technologies over 30 days. Agilent Technologies is related to or competes with Danaher, Illumina, IDEXX Laboratories, Waters, Thermo Fisher, Guardant Health, and Mettler Toledo. Agilent Technologies, Inc. provides application focused solutions to the life sciences, diagnostics, and applied chemica... More
Agilent Technologies 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 Agilent Technologies' 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 Agilent Technologies upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.11) | |||
| Maximum Drawdown | 9.02 | |||
| Value At Risk | (2.42) | |||
| Potential Upside | 2.29 |
Agilent Technologies Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Agilent Technologies' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Agilent Technologies' standard deviation. In reality, there are many statistical measures that can use Agilent Technologies historical prices to predict the future Agilent Technologies' volatility.| Risk Adjusted Performance | (0.02) | |||
| Jensen Alpha | (0.13) | |||
| Total Risk Alpha | (0.31) | |||
| Treynor Ratio | (0.12) |
Agilent Technologies Backtested Returns
Agilent Technologies secures Sharpe Ratio (or Efficiency) of -0.0227, which signifies that the company had a -0.0227% return per unit of risk over the last 3 months. Agilent Technologies exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Agilent Technologies' Mean Deviation of 1.14, risk adjusted performance of (0.02), and Standard Deviation of 1.6 to double-check the risk estimate we provide. The firm shows a Beta (market volatility) of 0.54, which signifies possible diversification benefits within a given portfolio. As returns on the market increase, Agilent Technologies' returns are expected to increase less than the market. However, during the bear market, the loss of holding Agilent Technologies is expected to be smaller as well. At this point, Agilent Technologies has a negative expected return of -0.0378%. Please make sure to confirm Agilent Technologies' value at risk, accumulation distribution, and the relationship between the treynor ratio and skewness , to decide if Agilent Technologies performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.21 |
Weak reverse predictability
Agilent Technologies has weak reverse predictability. Overlapping area represents the amount of predictability between Agilent Technologies time series from 29th of October 2024 to 13th of November 2024 and 13th of November 2024 to 28th of November 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 Agilent Technologies price movement. The serial correlation of -0.21 indicates that over 21.0% of current Agilent Technologies price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.21 | |
| Spearman Rank Test | 0.07 | |
| Residual Average | 0.0 | |
| Price Variance | 14.48 |
Agilent Technologies lagged returns against current returns
Autocorrelation, which is Agilent Technologies 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 Agilent Technologies' stock expected returns. We can calculate the autocorrelation of Agilent Technologies returns to help us make a trade decision. For example, suppose you find that Agilent Technologies 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 |
Agilent Technologies 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 Agilent Technologies stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Agilent Technologies stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Agilent Technologies stock over time.
Current vs Lagged Prices |
| Timeline |
Agilent Technologies Lagged Returns
When evaluating Agilent Technologies' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Agilent Technologies stock have on its future price. Agilent Technologies 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, Agilent Technologies autocorrelation shows the relationship between Agilent Technologies stock current value and its past values and can show if there is a momentum factor associated with investing in Agilent Technologies.
Regressed Prices |
| Timeline |
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 Agilent Technologies Correlation, Agilent Technologies Volatility and Agilent Technologies Alpha and Beta module to complement your research on Agilent Technologies. For information on how to trade Agilent Stock refer to our How to Trade Agilent Stock guide.You can also try the Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
Agilent Technologies 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.