Agilent Technologies (UK) Market Value
| 0HAV Stock | 147.34 3.71 2.58% |
| 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.
| 01/31/2023 |
| 01/20/2025 |
If you would invest 0.00 in Agilent Technologies on January 31, 2023 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 720 days. Agilent Technologies is related to or competes with GoldMining, Symphony Environmental, Anglo Asian, Blackrock World, First Majestic, Eastinco Mining, and United States. Agilent Technologies is entity of United Kingdom 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 | 1.35 | |||
| Information Ratio | 0.0463 | |||
| Maximum Drawdown | 7.52 | |||
| Value At Risk | (2.06) | |||
| Potential Upside | 3.87 |
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 | 0.0589 | |||
| Jensen Alpha | 0.089 | |||
| Total Risk Alpha | 0.0562 | |||
| Sortino Ratio | 0.0549 | |||
| Treynor Ratio | 0.3657 |
Agilent Technologies Backtested Returns
Currently, Agilent Technologies is very steady. Agilent Technologies secures Sharpe Ratio (or Efficiency) of 0.11, which signifies that the company had a 0.11 % 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' Mean Deviation of 1.18, risk adjusted performance of 0.0589, and Downside Deviation of 1.35 to double-check if the risk estimate we provide is consistent with the expected return of 0.17%. Agilent Technologies has a performance score of 8 on a scale of 0 to 100. The firm shows a Beta (market volatility) of 0.26, which signifies not very significant fluctuations relative to the market. 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 1.6%. Please confirm Agilent Technologies semi deviation, coefficient of variation, and the relationship between the mean deviation and downside deviation , to decide if Agilent Technologies will be following its price patterns.
Auto-correlation | -0.04 |
Very weak reverse predictability
Agilent Technologies has very weak reverse predictability. Overlapping area represents the amount of predictability between Agilent Technologies time series from 31st of January 2023 to 26th of January 2024 and 26th of January 2024 to 20th of January 2025. 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 -0.04 indicates that only as little as 4.0% of current Agilent Technologies price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.04 | |
| Spearman Rank Test | 0.15 | |
| Residual Average | 0.0 | |
| Price Variance | 37.15 |
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 |
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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 Tools for Agilent Stock Analysis
When running Agilent Technologies' price analysis, check to measure Agilent Technologies' 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 Agilent Technologies is operating at the current time. Most of Agilent Technologies' value examination focuses on studying past and present price action to predict the probability of Agilent Technologies' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Agilent Technologies' price. Additionally, you may evaluate how the addition of Agilent Technologies to your portfolios can decrease your overall portfolio volatility.