Extreme Networks Stock Market Value
| EXTR Stock | USD 11.15 0.06 0.54% |
| Symbol | Extreme |
Extreme Networks Price To Book Ratio
Is Extreme 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 Extreme Networks. If investors know Extreme 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 Extreme 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 (0.77) | Earnings Share 0.6 | Revenue Per Share 10.456 | Quarterly Revenue Growth (0.07) | Return On Assets 0.0723 |
The market value of Extreme Networks is measured differently than its book value, which is the value of Extreme that is recorded on the company's balance sheet. Investors also form their own opinion of Extreme Networks' value that differs from its market value or its book value, called intrinsic value, which is Extreme 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 Extreme Networks' market value can be influenced by many factors that don't directly affect Extreme 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 Extreme Networks' value and its price as these two are different measures arrived at by different means. Investors typically determine if Extreme Networks is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Extreme 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.
Extreme 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 Extreme 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 Extreme Networks.
| 03/26/2024 |
| 04/25/2024 |
If you would invest 0.00 in Extreme Networks on March 26, 2024 and sell it all today you would earn a total of 0.00 from holding Extreme Networks or generate 0.0% return on investment in Extreme Networks over 30 days. Extreme Networks is related to or competes with Akoustis Technologies, Airgain, and Knowles Cor. Extreme Networks, Inc. provides software-driven networking solutions worldwide More
Extreme 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 Extreme 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 Extreme Networks upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.22) | |||
| Maximum Drawdown | 19.7 | |||
| Value At Risk | (4.69) | |||
| Potential Upside | 3.36 |
Extreme Networks Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Extreme Networks' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Extreme Networks' standard deviation. In reality, there are many statistical measures that can use Extreme Networks historical prices to predict the future Extreme Networks' volatility.| Risk Adjusted Performance | (0.11) | |||
| Jensen Alpha | (0.74) | |||
| Total Risk Alpha | (0.95) | |||
| Treynor Ratio | (0.29) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Extreme 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.
Extreme Networks Backtested Returns
Extreme Networks secures Sharpe Ratio (or Efficiency) of -0.21, which denotes the company had a -0.21% return per unit of risk over the last 3 months. Extreme Networks exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Extreme Networks' Variance of 8.77, mean deviation of 1.71, and Standard Deviation of 2.96 to check the risk estimate we provide. The firm shows a Beta (market volatility) of 2.0, which means 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, Extreme Networks will likely underperform. Extreme Networks has an expected return of -0.62%. Please make sure to confirm Extreme Networks treynor ratio, accumulation distribution, as well as the relationship between the Accumulation Distribution and price action indicator , to decide if Extreme Networks performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.01 |
Virtually no predictability
Extreme Networks has virtually no predictability. Overlapping area represents the amount of predictability between Extreme Networks time series from 26th of March 2024 to 10th of April 2024 and 10th of April 2024 to 25th 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 Extreme Networks price movement. The serial correlation of 0.01 indicates that just 1.0% of current Extreme Networks price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.01 | |
| Spearman Rank Test | -0.19 | |
| Residual Average | 0.0 | |
| Price Variance | 0.02 |
Extreme Networks lagged returns against current returns
Autocorrelation, which is Extreme 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 Extreme Networks' stock expected returns. We can calculate the autocorrelation of Extreme Networks returns to help us make a trade decision. For example, suppose you find that Extreme 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 |
Extreme 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 Extreme Networks stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Extreme Networks stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Extreme Networks stock over time.
Current vs Lagged Prices |
| Timeline |
Extreme Networks Lagged Returns
When evaluating Extreme Networks' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Extreme Networks stock have on its future price. Extreme 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, Extreme Networks autocorrelation shows the relationship between Extreme Networks stock current value and its past values and can show if there is a momentum factor associated with investing in Extreme Networks.
Regressed Prices |
| Timeline |
Extreme Networks Investors Sentiment
The influence of Extreme 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 Extreme. 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 Extreme Networks' public news can be used to forecast risks associated with an investment in Extreme. The trend in average sentiment can be used to explain how an investor holding Extreme can time the market purely based on public headlines and social activities around Extreme Networks. Please note that most equities that are difficult to arbitrage are affected by market sentiment the most.
Extreme 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 Extreme 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 Extreme Networks' news discussions. The higher the estimated score, the more favorable is the investor's outlook on Extreme Networks.
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 Extreme 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, Extreme Networks' short interest history, or implied volatility extrapolated from Extreme Networks options trading.
Pair Trading with Extreme 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 Extreme 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 Extreme Networks will appreciate offsetting losses from the drop in the long position's value.Moving together with Extreme Stock
| 0.81 | DZSI | DZS Inc Financial Report 13th of May 2024 | PairCorr |
| 0.78 | AAPL | Apple Inc Earnings Call This Week | PairCorr |
Moving against Extreme Stock
| 0.76 | BRK-A | Berkshire Hathaway | PairCorr |
| 0.69 | GDDY | Godaddy Earnings Call This Week | PairCorr |
| 0.61 | LRCX | Lam Research Corp Financial Report 24th of July 2024 | PairCorr |
| 0.58 | AVNW | Aviat Networks Earnings Call This Week | PairCorr |
| 0.53 | MCHB | Mechanics Bank | PairCorr |
The ability to find closely correlated positions to Extreme 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 Extreme 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 Extreme 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 Extreme Networks to buy it.
The correlation of Extreme 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 Extreme Networks moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Extreme 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 Extreme 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 Extreme Networks Correlation, Extreme Networks Volatility and Extreme Networks Alpha and Beta module to complement your research on Extreme Networks. To learn how to invest in Extreme Stock, please use our How to Invest in Extreme Networks guide.You can also try the Portfolio Anywhere module to track or share privately all of your investments from the convenience of any device.
Complementary Tools for Extreme Stock analysis
When running Extreme Networks' price analysis, check to measure Extreme 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 Extreme Networks is operating at the current time. Most of Extreme Networks' value examination focuses on studying past and present price action to predict the probability of Extreme Networks' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Extreme Networks' price. Additionally, you may evaluate how the addition of Extreme Networks to your portfolios can decrease your overall portfolio volatility.
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Extreme 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.