Agilent Technologies (Germany) Market Value
| AG8 Stock | EUR 128.54 1.40 1.10% |
| Symbol | Agilent |
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 SLR Investment, CDL INVESTMENT, CapitaLand Investment, Jacquet Metal, Lion One, and WisdomTree Investments. 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.
| Downside Deviation | 1.72 | |||
| Information Ratio | (0.06) | |||
| Maximum Drawdown | 10.71 | |||
| Value At Risk | (2.73) | |||
| Potential Upside | 3.74 |
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 | 0.0148 | |||
| Jensen Alpha | (0.03) | |||
| Total Risk Alpha | (0.27) | |||
| Sortino Ratio | (0.06) | |||
| Treynor Ratio | 0.0325 |
Agilent Technologies Backtested Returns
At this point, Agilent Technologies is very steady. Agilent Technologies secures Sharpe Ratio (or Efficiency) of 0.0118, which signifies that the company had a 0.0118% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Agilent Technologies, which you can use to evaluate the volatility of the firm. Please confirm Agilent Technologies' Downside Deviation of 1.72, risk adjusted performance of 0.0148, and Mean Deviation of 1.25 to double-check if the risk estimate we provide is consistent with the expected return of 0.0216%. The firm shows a Beta (market volatility) of 0.36, 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. Agilent Technologies right now shows a risk of 1.84%. Please confirm Agilent Technologies downside deviation, standard deviation, total risk alpha, as well as the relationship between the coefficient of variation and jensen alpha , to decide if Agilent Technologies will be following its price patterns.
Auto-correlation | 0.01 |
Virtually no predictability
Agilent Technologies has virtually no 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 0.01 indicates that just 1.0% of current Agilent Technologies price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.01 | |
| Spearman Rank Test | 0.07 | |
| Residual Average | 0.0 | |
| Price Variance | 12.64 |
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 |
Currently Active Assets on Macroaxis
Additional Information and Resources on Investing in Agilent Stock
When determining whether Agilent Technologies offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Agilent Technologies' 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 Agilent Technologies Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Agilent Technologies Stock:Check out Agilent Technologies Correlation, Agilent Technologies Volatility and Agilent Technologies Alpha and Beta module to complement your research on Agilent Technologies. For more detail on how to invest in Agilent Stock please use our How to Invest in Agilent Technologies guide.You can also try the Portfolio Center module to all portfolio management and optimization tools to improve performance of your portfolios.
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.