Agilent Technologies' market value is the price at which a share of Agilent Technologies trades on a public exchange. It measures the collective expectations of Agilent Technologies investors about its performance. Agilent Technologies is selling for under 133.00 as of the 3rd of January 2025; that is 1.71% down since the beginning of the trading day. The stock's lowest day price was 133.0. With this module, you can estimate the performance of a buy and hold strategy of Agilent Technologies and determine expected loss or profit from investing in Agilent Technologies over a given investment horizon. Check out Agilent Technologies Correlation, Agilent Technologies Volatility and Agilent Technologies Alpha and Beta module to complement your research on Agilent Technologies. For more information on how to buy Agilent Stock please use our How to Invest in Agilent Technologies guide.
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.
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.
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.
Agilent Technologies secures Sharpe Ratio (or Efficiency) of -0.0678, which signifies that the company had a -0.0678% return per unit of risk over the last 3 months. Agilent Technologies exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Agilent Technologies' Risk Adjusted Performance of (0.05), standard deviation of 1.59, and Mean Deviation of 1.14 to double-check the risk estimate we provide. The firm shows a Beta (market volatility) of 0.12, 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. At this point, Agilent Technologies has a negative expected return of -0.11%. Please make sure to confirm Agilent Technologies' market risk adjusted performance, coefficient of variation, jensen alpha, as well as the relationship between the mean deviation and standard deviation , to decide if Agilent Technologies performance from the past will be repeated at some point in the near future.
Auto-correlation
0.46
Average predictability
Agilent Technologies has average predictability. Overlapping area represents the amount of predictability between Agilent Technologies time series from 4th of December 2024 to 19th of December 2024 and 19th of December 2024 to 3rd 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 0.46 indicates that about 46.0% of current Agilent Technologies price fluctuation can be explain by its past prices.
Correlation Coefficient
0.46
Spearman Rank Test
0.35
Residual Average
0.0
Price Variance
0.85
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.
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.