Agilent Stock Market Value

A
 Stock
  

USD 119.21  0.65  0.55%   

Agilent Technologies' market value is the price at which a share of Agilent Technologies stock trades on a public exchange. It measures the collective expectations of Agilent Technologies investors about the entity's future performance. 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. Please continue to Agilent Technologies Hype Analysis, Agilent Technologies Correlation, Agilent Technologies Valuation, Agilent Technologies Volatility, as well as analyze Agilent Technologies Alpha and Beta and Agilent Technologies Performance.
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Is Agilent Technologies' industry 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 YOY
0.3
Market Capitalization
35.6 B
Quarterly Revenue Growth YOY
0.054
Return On Assets
0.0908
Return On Equity
0.25
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 Agilent Technologies value 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.
0.00
06/03/2022
No Change 0.00  0.0 
In 31 days
07/03/2022
0.00
If you would invest  0.00  in Agilent Technologies on June 3, 2022 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 Dario Health, Coca Cola, Verizon Communications, Alcoa Corp, 3M, International Business, and Walmart. 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.

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.
Sophisticated investors, who have witnessed many market ups and downs, frequently view the market will even out over time. This tendency of Agilent Technologies' 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. Please use the tools below to analyze the current value of Agilent Technologies in the context of predictive analytics.
Hype
Prediction
LowEstimated ValueHigh
116.68119.10121.52
Details
Intrinsic
Valuation
LowReal ValueHigh
107.29131.21133.63
Details
Naive
Forecast
LowNext ValueHigh
123.42125.84128.26
Details
10 Analysts
Consensus
LowTarget PriceHigh
144.00175.40195.00
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Agilent Technologies. Your research has to be compared to or analyzed against Agilent Technologies' peers to derive any actionable benefits. When done correctly, Agilent Technologies' competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy towards taking a position in Agilent Technologies.

Agilent Technologies Backtested Returns

Agilent Technologies secures Sharpe Ratio (or Efficiency) of -0.0669, which signifies that the company had -0.0669% of return per unit of risk over the last 3 months. Macroaxis standpoint towards foreseeing the risk of any stock is to look at both systematic and unsystematic factors of the business, including all available market data and technical indicators. Agilent Technologies exposes twenty-one different technical indicators, which can help you to evaluate volatility that cannot be diversified away. Please be advised to confirm Agilent Technologies mean deviation of 1.98, and Risk Adjusted Performance of (0.11) to double-check the risk estimate we provide.
The firm shows a Beta (market volatility) of 1.2143, which signifies a somewhat significant risk relative to the market. Let's try to break down what Agilent's beta means in this case. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Agilent Technologies will likely underperform. Even though it is essential to pay attention to Agilent Technologies historical returns, it is always good to be careful when utilizing equity current trending patterns. Our philosophy towards foreseeing any stock's future performance is to check both, its past performance charts as well as the business as a whole, including all available technical indicators. Agilent Technologies exposes twenty-one different technical indicators, which can help you to evaluate its performance. Agilent Technologies has an expected return of -0.16%. Please be advised to confirm Agilent Technologies coefficient of variation, jensen alpha, potential upside, as well as the relationship between the variance and maximum drawdown to decide if Agilent Technologies performance from the past will be repeated at some point in the near future.

Auto-correlation

    
  -0.34  

Poor reverse predictability

Agilent Technologies has poor reverse predictability. Overlapping area represents the amount of predictability between Agilent Technologies time series from 3rd of June 2022 to 18th of June 2022 and 18th of June 2022 to 3rd of July 2022. 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 -0.34 indicates that nearly 34.0% of current Agilent Technologies price fluctuation can be explain by its past prices.
Correlation Coefficient-0.34
Spearman Rank Test-0.47
Residual Average0.0
Price Variance5.77

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 stock 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 stock movement to match the lagging time series.
 Current and Lagged Values 
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      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 
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      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 
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      Timeline 

Be your own money manager

Our tools can tell you how much better you can do entering a position in Agilent Technologies without increasing your portfolio risk or giving up expected return. As an individual investor, you need to find a reliable way to track all your investment portfolios. However, your requirements will often be based on how much of the process you decide to do yourself. In addition to allowing all investors analytical transparency into all their portfolios, our tools can evaluate.risk-adjusted returns of your individual positions relative to your overall portfolio.

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Pair Trading with Agilent Technologies

One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Agilent Technologies position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Agilent Technologies will appreciate offsetting losses from the drop in the long position's value.

Agilent Technologies Pair Correlation

Correlation Analysis For Direct Indexing and Tax-loss Harvesting

The ability to find closely correlated positions to Agilent Technologies could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Agilent Technologies when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Agilent Technologies - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Agilent Technologies to buy it.
The correlation of Agilent Technologies is a statistical measure of how it moves in relation to other equities. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Agilent Technologies moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Agilent Technologies moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Agilent Technologies can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.
Pair CorrelationCorrelation Matching
Please continue to Agilent Technologies Hype Analysis, Agilent Technologies Correlation, Agilent Technologies Valuation, Agilent Technologies Volatility, as well as analyze Agilent Technologies Alpha and Beta and Agilent Technologies Performance. Note that the Agilent Technologies information on this page should be used as a complementary analysis to other Agilent Technologies' statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try Money Managers module to screen money managers from public funds and ETFs managed around the world.

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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 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.
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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.
A focus of Agilent Technologies technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of Agilent Technologies trading pattern rather than external drivers such as economic, fundamental, or social events. It is believed that price action tends to repeat itself due to investors' collective, patterned behavior. Hence technical analysis focuses on identifiable price trends and conditions. More Info...