Arista Networks Stock Market Value
| ANET Stock | USD 245.47 0.62 0.25% |
| Symbol | Arista |
Arista Networks Price To Book Ratio
Is Arista Networks' 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 Arista Networks. If investors know Arista 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 Arista Networks 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 0.418 | Earnings Share 6.57 | Revenue Per Share 18.943 | Quarterly Revenue Growth 0.208 | Return On Assets 0.1691 |
The market value of Arista Networks is measured differently than its book value, which is the value of Arista that is recorded on the company's balance sheet. Investors also form their own opinion of Arista Networks' value that differs from its market value or its book value, called intrinsic value, which is Arista Networks' 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 Arista Networks' market value can be influenced by many factors that don't directly affect Arista Networks' 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 Arista Networks' value and its price as these two are different measures arrived at by different means. Investors typically determine if Arista Networks is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Arista Networks' 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.
Arista Networks '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 Arista Networks' 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 Arista Networks.
| 03/24/2024 |
| 04/23/2024 |
If you would invest 0.00 in Arista Networks on March 24, 2024 and sell it all today you would earn a total of 0.00 from holding Arista Networks or generate 0.0% return on investment in Arista Networks over 30 days. Arista Networks is related to or competes with Desktop Metal, Fabrinet, Kimball Electronics, Knowles Cor, Deswell Industries, AmpliTech, and Via OptronicsAg. Arista Networks, Inc. develops, markets, and sells cloud networking solutions in the Americas, Europe, the Middle East, ... More
Arista Networks 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 Arista Networks' 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 Arista Networks upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.86 | |||
| Information Ratio | (0.03) | |||
| Maximum Drawdown | 14.16 | |||
| Value At Risk | (4.67) | |||
| Potential Upside | 3.85 |
Arista Networks Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Arista Networks' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Arista Networks' standard deviation. In reality, there are many statistical measures that can use Arista Networks historical prices to predict the future Arista Networks' volatility.| Risk Adjusted Performance | 0.0117 | |||
| Jensen Alpha | (0.17) | |||
| Total Risk Alpha | (0.32) | |||
| Sortino Ratio | (0.02) | |||
| Treynor Ratio | 0.0031 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Arista Networks' 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.
Arista Networks Backtested Returns
Arista Networks secures Sharpe Ratio (or Efficiency) of -0.027, which signifies that the company had a -0.027% return per unit of risk over the last 3 months. Arista Networks exposes twenty-eight different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Arista Networks' Downside Deviation of 2.86, mean deviation of 2.03, and Risk Adjusted Performance of 0.0117 to double-check the risk estimate we provide. The firm shows a Beta (market volatility) of 2.34, which signifies a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Arista Networks will likely underperform. Arista Networks has an expected return of -0.0723%. Please make sure to confirm Arista Networks potential upside, and the relationship between the total risk alpha and kurtosis , to decide if Arista Networks performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.07 |
Virtually no predictability
Arista Networks has virtually no predictability. Overlapping area represents the amount of predictability between Arista Networks time series from 24th of March 2024 to 8th of April 2024 and 8th of April 2024 to 23rd of April 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 Arista Networks price movement. The serial correlation of 0.07 indicates that barely 7.0% of current Arista Networks price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.07 | |
| Spearman Rank Test | 0.24 | |
| Residual Average | 0.0 | |
| Price Variance | 321.74 |
Arista Networks lagged returns against current returns
Autocorrelation, which is Arista Networks 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 Arista Networks' stock expected returns. We can calculate the autocorrelation of Arista Networks returns to help us make a trade decision. For example, suppose you find that Arista Networks 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 |
Arista Networks 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 Arista Networks stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Arista Networks stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Arista Networks stock over time.
Current vs Lagged Prices |
| Timeline |
Arista Networks Lagged Returns
When evaluating Arista Networks' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Arista Networks stock have on its future price. Arista Networks 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, Arista Networks autocorrelation shows the relationship between Arista Networks stock current value and its past values and can show if there is a momentum factor associated with investing in Arista Networks.
Regressed Prices |
| Timeline |
Arista Networks Investors Sentiment
The influence of Arista Networks' investor sentiment on the probability of its price appreciation or decline could be a good factor in your decision-making process regarding taking a position in Arista. The overall investor sentiment generally increases the direction of a stock movement in a one-year investment horizon. However, the impact of investor sentiment on the entire stock market does not have solid backing from leading economists and market statisticians.
Investor biases related to Arista Networks' public news can be used to forecast risks associated with an investment in Arista. The trend in average sentiment can be used to explain how an investor holding Arista can time the market purely based on public headlines and social activities around Arista Networks. Please note that most equities that are difficult to arbitrage are affected by market sentiment the most.
Arista Networks' market sentiment shows the aggregated news analyzed to detect positive and negative mentions from the text and comments. The data is normalized to provide daily scores for Arista Networks' and other traded tickers. The bigger the bubble, the more accurate is the estimated score. Higher bars for a given day show more participation in the average Arista Networks' news discussions. The higher the estimated score, the more favorable is the investor's outlook on Arista Networks.
Arista Networks Implied Volatility | 55.28 |
Arista Networks' implied volatility exposes the market's sentiment of Arista Networks stock's possible movements over time. However, it does not forecast the overall direction of its price. In a nutshell, if Arista Networks' implied volatility is high, the market thinks the stock has potential for high price swings in either direction. On the other hand, the low implied volatility suggests that Arista Networks stock will not fluctuate a lot when Arista Networks' options are near their expiration.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Arista Networks in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Arista Networks' short interest history, or implied volatility extrapolated from Arista Networks options trading.
Pair Trading with Arista Networks
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 Arista Networks 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 Arista Networks will appreciate offsetting losses from the drop in the long position's value.Moving together with Arista Stock
| 0.63 | HPQ | HP Inc Sell-off Trend | PairCorr |
| 0.64 | IBM | International Business Earnings Call Tomorrow | PairCorr |
The ability to find closely correlated positions to Arista Networks could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Arista Networks 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 Arista Networks - 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 Arista Networks to buy it.
The correlation of Arista Networks is a statistical measure of how it moves in relation to other instruments. 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 Arista Networks moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Arista Networks 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 Arista Networks 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.Check out Arista Networks Correlation, Arista Networks Volatility and Arista Networks Alpha and Beta module to complement your research on Arista Networks. For more information on how to buy Arista Stock please use our How to Invest in Arista Networks guide.Note that the Arista Networks information on this page should be used as a complementary analysis to other Arista Networks' 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 the Transaction History module to view history of all your transactions and understand their impact on performance.
Complementary Tools for Arista Stock analysis
When running Arista Networks' price analysis, check to measure Arista Networks' 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 Arista Networks is operating at the current time. Most of Arista Networks' value examination focuses on studying past and present price action to predict the probability of Arista Networks' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Arista Networks' price. Additionally, you may evaluate how the addition of Arista Networks to your portfolios can decrease your overall portfolio volatility.
| Bonds Directory Find actively traded corporate debentures issued by US companies | |
| My Watchlist Analysis Analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like | |
| Options Analysis Analyze and evaluate options and option chains as a potential hedge for your portfolios | |
| Portfolio Analyzer Portfolio analysis module that provides access to portfolio diagnostics and optimization engine | |
| Stocks Directory Find actively traded stocks across global markets | |
| Insider Screener Find insiders across different sectors to evaluate their impact on performance | |
| USA ETFs Find actively traded Exchange Traded Funds (ETF) in USA | |
| Portfolio Comparator Compare the composition, asset allocations and performance of any two portfolios in your account | |
| AI Portfolio Architect Use AI to generate optimal portfolios and find profitable investment opportunities | |
| Portfolio Backtesting Avoid under-diversification and over-optimization by backtesting your portfolios | |
| Portfolio Volatility Check portfolio volatility and analyze historical return density to properly model market risk |
Arista Networks 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.