Aehr Test Systems Stock Market Value
| AEHR Stock | USD 11.07 0.51 4.83% |
| Symbol | Aehr |
Aehr Test Systems Price To Book Ratio
Is Aehr Test's 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 Aehr Test. If investors know Aehr 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 Aehr Test 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 0.538 | Earnings Share 0.52 | Revenue Per Share 2.506 | Quarterly Revenue Growth (0.56) | Return On Assets 0.0885 |
The market value of Aehr Test Systems is measured differently than its book value, which is the value of Aehr that is recorded on the company's balance sheet. Investors also form their own opinion of Aehr Test's value that differs from its market value or its book value, called intrinsic value, which is Aehr Test's 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 Aehr Test's market value can be influenced by many factors that don't directly affect Aehr Test's 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 Aehr Test's value and its price as these two are different measures arrived at by different means. Investors typically determine if Aehr Test is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Aehr Test's 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.
Aehr Test '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 Aehr Test's 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 Aehr Test.
| 03/25/2024 |
| 04/24/2024 |
If you would invest 0.00 in Aehr Test on March 25, 2024 and sell it all today you would earn a total of 0.00 from holding Aehr Test Systems or generate 0.0% return on investment in Aehr Test over 30 days. Aehr Test is related to or competes with Applied Materials, ASML Holding, Axcelis Technologies, Lam Research, Entegris, IPG Photonics, and Photronics. Aehr Test Systems provides test systems for burning-in semiconductor devices in wafer level, singulated die, and package... More
Aehr Test 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 Aehr Test's 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 Aehr Test Systems upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.14) | |||
| Maximum Drawdown | 32.78 | |||
| Value At Risk | (5.85) | |||
| Potential Upside | 8.54 |
Aehr Test Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Aehr Test's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Aehr Test's standard deviation. In reality, there are many statistical measures that can use Aehr Test historical prices to predict the future Aehr Test's volatility.| Risk Adjusted Performance | (0.07) | |||
| Jensen Alpha | (0.81) | |||
| Total Risk Alpha | (1.22) | |||
| Treynor Ratio | (0.22) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Aehr Test's 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.
Aehr Test Systems Backtested Returns
Aehr Test Systems secures Sharpe Ratio (or Efficiency) of -0.12, which signifies that the company had a -0.12% return per unit of standard deviation over the last 3 months. Aehr Test Systems exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Aehr Test's risk adjusted performance of (0.07), and Mean Deviation of 3.1 to double-check the risk estimate we provide. The firm shows a Beta (market volatility) of 2.66, 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, Aehr Test will likely underperform. Aehr Test Systems has an expected return of -0.58%. Please make sure to confirm Aehr Test Systems treynor ratio, as well as the relationship between the kurtosis and day typical price , to decide if Aehr Test Systems performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.45 |
Average predictability
Aehr Test Systems has average predictability. Overlapping area represents the amount of predictability between Aehr Test time series from 25th of March 2024 to 9th of April 2024 and 9th of April 2024 to 24th 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 Aehr Test Systems price movement. The serial correlation of 0.45 indicates that just about 45.0% of current Aehr Test price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.45 | |
| Spearman Rank Test | -0.11 | |
| Residual Average | 0.0 | |
| Price Variance | 0.27 |
Aehr Test Systems lagged returns against current returns
Autocorrelation, which is Aehr Test 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 Aehr Test's stock expected returns. We can calculate the autocorrelation of Aehr Test returns to help us make a trade decision. For example, suppose you find that Aehr Test 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 |
Aehr Test 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 Aehr Test stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Aehr Test stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Aehr Test stock over time.
Current vs Lagged Prices |
| Timeline |
Aehr Test Lagged Returns
When evaluating Aehr Test's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Aehr Test stock have on its future price. Aehr Test 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, Aehr Test autocorrelation shows the relationship between Aehr Test stock current value and its past values and can show if there is a momentum factor associated with investing in Aehr Test Systems.
Regressed Prices |
| Timeline |
Pair Trading with Aehr Test
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 Aehr Test 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 Aehr Test will appreciate offsetting losses from the drop in the long position's value.Moving together with Aehr Stock
| 0.75 | MX | MagnaChip Semiconductor Financial Report 1st of May 2024 | PairCorr |
| 0.71 | ICG | Intchains Group Tech Boost | PairCorr |
| 0.77 | INTC | Intel Earnings Call Tomorrow | PairCorr |
Moving against Aehr Stock
| 0.82 | GDDY | Godaddy Financial Report 2nd of May 2024 | PairCorr |
| 0.43 | MSFT | Microsoft Earnings Call Tomorrow | PairCorr |
| 0.41 | SQ | Block Inc Aggressive Push | PairCorr |
The ability to find closely correlated positions to Aehr Test could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Aehr Test 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 Aehr Test - 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 Aehr Test Systems to buy it.
The correlation of Aehr Test 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 Aehr Test moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Aehr Test Systems 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 Aehr Test 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 Aehr Test Correlation, Aehr Test Volatility and Aehr Test Alpha and Beta module to complement your research on Aehr Test. Note that the Aehr Test Systems information on this page should be used as a complementary analysis to other Aehr Test's 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 Technical Analysis module to check basic technical indicators and analysis based on most latest market data.
Complementary Tools for Aehr Stock analysis
When running Aehr Test's price analysis, check to measure Aehr Test's 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 Aehr Test is operating at the current time. Most of Aehr Test's value examination focuses on studying past and present price action to predict the probability of Aehr Test's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Aehr Test's price. Additionally, you may evaluate how the addition of Aehr Test to your portfolios can decrease your overall portfolio volatility.
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Aehr Test 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.