Airgain Stock Market Value
AIRG Stock | USD 4.80 0.24 4.76% |
Symbol | Airgain |
Airgain Price To Book Ratio
Is Electronic Equipment, Instruments & Components space 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 Airgain. If investors know Airgain 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 Airgain 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 (1.00) | Earnings Share (0.69) | Revenue Per Share | Quarterly Revenue Growth (0.16) | Return On Assets |
The market value of Airgain is measured differently than its book value, which is the value of Airgain that is recorded on the company's balance sheet. Investors also form their own opinion of Airgain's value that differs from its market value or its book value, called intrinsic value, which is Airgain'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 Airgain's market value can be influenced by many factors that don't directly affect Airgain'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 Airgain's value and its price as these two are different measures arrived at by different means. Investors typically determine if Airgain is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Airgain'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.
Airgain '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 Airgain'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 Airgain.
04/30/2025 |
| 07/29/2025 |
If you would invest 0.00 in Airgain on April 30, 2025 and sell it all today you would earn a total of 0.00 from holding Airgain or generate 0.0% return on investment in Airgain over 90 days. Airgain is related to or competes with Cps Technologies, Cambium Networks, and Ceragon Networks. Airgain, Inc. designs, develops, and engineers antenna products for original equipment and design manufacturers, vertica... More
Airgain 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 Airgain'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 Airgain upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 2.62 | |||
Information Ratio | 0.0798 | |||
Maximum Drawdown | 17.57 | |||
Value At Risk | (4.02) | |||
Potential Upside | 8.12 |
Airgain Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Airgain's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Airgain's standard deviation. In reality, there are many statistical measures that can use Airgain historical prices to predict the future Airgain's volatility.Risk Adjusted Performance | 0.1186 | |||
Jensen Alpha | 0.47 | |||
Total Risk Alpha | (0.39) | |||
Sortino Ratio | 0.1007 | |||
Treynor Ratio | (14.44) |
Airgain Backtested Returns
Airgain appears to be slightly risky, given 3 months investment horizon. Airgain secures Sharpe Ratio (or Efficiency) of 0.14, which signifies that the company had a 0.14 % return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Airgain, which you can use to evaluate the volatility of the firm. Please makes use of Airgain's Downside Deviation of 2.62, risk adjusted performance of 0.1186, and Mean Deviation of 2.42 to double-check if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Airgain holds a performance score of 10. The firm shows a Beta (market volatility) of -0.0321, which signifies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Airgain are expected to decrease at a much lower rate. During the bear market, Airgain is likely to outperform the market. Please check Airgain's downside variance, and the relationship between the treynor ratio and kurtosis , to make a quick decision on whether Airgain's price patterns will revert.
Auto-correlation | 0.14 |
Insignificant predictability
Airgain has insignificant predictability. Overlapping area represents the amount of predictability between Airgain time series from 30th of April 2025 to 14th of June 2025 and 14th of June 2025 to 29th of July 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 Airgain price movement. The serial correlation of 0.14 indicates that less than 14.0% of current Airgain price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.14 | |
Spearman Rank Test | 0.29 | |
Residual Average | 0.0 | |
Price Variance | 0.15 |
Airgain lagged returns against current returns
Autocorrelation, which is Airgain 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 Airgain's stock expected returns. We can calculate the autocorrelation of Airgain returns to help us make a trade decision. For example, suppose you find that Airgain 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 |
Airgain 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 Airgain stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Airgain stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Airgain stock over time.
Current vs Lagged Prices |
Timeline |
Airgain Lagged Returns
When evaluating Airgain's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Airgain stock have on its future price. Airgain 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, Airgain autocorrelation shows the relationship between Airgain stock current value and its past values and can show if there is a momentum factor associated with investing in Airgain.
Regressed Prices |
Timeline |
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Check out Airgain Correlation, Airgain Volatility and Airgain Alpha and Beta module to complement your research on Airgain. For more detail on how to invest in Airgain Stock please use our How to Invest in Airgain guide.You can also try the Options Analysis module to analyze and evaluate options and option chains as a potential hedge for your portfolios.
Airgain 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.