Air T Inc Stock Market Value
AIRT Stock | USD 25.18 0.64 2.61% |
Symbol | Air |
Air T Inc Price To Book Ratio
Is Air T'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 Air T. If investors know Air 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 Air T 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 (5.00) | Revenue Per Share 102.289 | Quarterly Revenue Growth 0.038 | Return On Assets (0.02) |
The market value of Air T Inc is measured differently than its book value, which is the value of Air that is recorded on the company's balance sheet. Investors also form their own opinion of Air T's value that differs from its market value or its book value, called intrinsic value, which is Air T'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 Air T's market value can be influenced by many factors that don't directly affect Air T'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 Air T's value and its price as these two are different measures arrived at by different means. Investors typically determine if Air T is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Air T'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.
Air T '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 Air T'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 Air T.
01/25/2024 |
| 04/24/2024 |
If you would invest 0.00 in Air T on January 25, 2024 and sell it all today you would earn a total of 0.00 from holding Air T Inc or generate 0.0% return on investment in Air T over 90 days. Air T is related to or competes with JB Hunt, Thrivent High, Morningstar Unconstrained, Via Renewables, T Rowe, and 70082LAB3. Air T, Inc., through its subsidiaries, provides overnight air cargo, ground equipment sale, and commercial jet engines a... More
Air T 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 Air T'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 Air T Inc upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 5.17 | |||
Information Ratio | 0.1798 | |||
Maximum Drawdown | 22.89 | |||
Value At Risk | (5.80) | |||
Potential Upside | 7.77 |
Air T Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Air T's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Air T's standard deviation. In reality, there are many statistical measures that can use Air T historical prices to predict the future Air T's volatility.Risk Adjusted Performance | 0.1311 | |||
Jensen Alpha | 0.7263 | |||
Total Risk Alpha | 0.3205 | |||
Sortino Ratio | 0.1642 | |||
Treynor Ratio | 0.365 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Air T'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.
Air T Inc Backtested Returns
Air T appears to be not too volatile, given 3 months investment horizon. Air T Inc secures Sharpe Ratio (or Efficiency) of 0.17, which signifies that the company had a 0.17% return per unit of risk over the last 3 months. By analyzing Air T's technical indicators, you can evaluate if the expected return of 0.79% is justified by implied risk. Please makes use of Air T's Downside Deviation of 5.17, risk adjusted performance of 0.1311, and Mean Deviation of 3.71 to double-check if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Air T holds a performance score of 13. The firm shows a Beta (market volatility) of 2.54, 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, Air T will likely underperform. Please check Air T's expected short fall, and the relationship between the maximum drawdown and rate of daily change , to make a quick decision on whether Air T's price patterns will revert.
Auto-correlation | 0.34 |
Below average predictability
Air T Inc has below average predictability. Overlapping area represents the amount of predictability between Air T time series from 25th of January 2024 to 10th of March 2024 and 10th of March 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 Air T Inc price movement. The serial correlation of 0.34 indicates that nearly 34.0% of current Air T price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.34 | |
Spearman Rank Test | 0.24 | |
Residual Average | 0.0 | |
Price Variance | 3.57 |
Air T Inc lagged returns against current returns
Autocorrelation, which is Air T 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 Air T's stock expected returns. We can calculate the autocorrelation of Air T returns to help us make a trade decision. For example, suppose you find that Air T 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 |
Air T 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 Air T stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Air T stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Air T stock over time.
Current vs Lagged Prices |
Timeline |
Air T Lagged Returns
When evaluating Air T's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Air T stock have on its future price. Air T 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, Air T autocorrelation shows the relationship between Air T stock current value and its past values and can show if there is a momentum factor associated with investing in Air T Inc.
Regressed Prices |
Timeline |
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 Air T 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, Air T's short interest history, or implied volatility extrapolated from Air T options trading.
Pair Trading with Air T
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 Air T 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 Air T will appreciate offsetting losses from the drop in the long position's value.Moving together with Air Stock
0.83 | FDX | FedEx Financial Report 18th of June 2024 | PairCorr |
0.73 | GVH | Globavend Holdings | PairCorr |
Moving against Air Stock
0.84 | FWRD | Forward Air Earnings Call This Week | PairCorr |
0.81 | RLGT | Radiant Logistics | PairCorr |
0.78 | HUBG | Hub Group Earnings Call Tomorrow | PairCorr |
0.78 | CRGO | Freightos Limited | PairCorr |
0.76 | ATXG | Addentax Group Corp | PairCorr |
The ability to find closely correlated positions to Air T could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Air T 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 Air T - 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 Air T Inc to buy it.
The correlation of Air T 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 Air T moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Air T Inc 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 Air T 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 Air T Correlation, Air T Volatility and Air T Alpha and Beta module to complement your research on Air T. You can also try the Companies Directory module to evaluate performance of over 100,000 Stocks, Funds, and ETFs against different fundamentals.
Complementary Tools for Air Stock analysis
When running Air T's price analysis, check to measure Air T'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 Air T is operating at the current time. Most of Air T's value examination focuses on studying past and present price action to predict the probability of Air T's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Air T's price. Additionally, you may evaluate how the addition of Air T to your portfolios can decrease your overall portfolio volatility.
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Air T 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.