American Software Stock Market Value
| AMSWA Stock | USD 10.51 0.03 0.29% |
| Symbol | American |
American Software Price To Book Ratio
Is American Software'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 American Software. If investors know American 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 American Software 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 0.293 | Dividend Share 0.44 | Earnings Share 0.31 | Revenue Per Share 3.523 | Quarterly Revenue Growth (0.07) |
The market value of American Software is measured differently than its book value, which is the value of American that is recorded on the company's balance sheet. Investors also form their own opinion of American Software's value that differs from its market value or its book value, called intrinsic value, which is American Software'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 American Software's market value can be influenced by many factors that don't directly affect American Software'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 American Software's value and its price as these two are different measures arrived at by different means. Investors typically determine if American Software is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, American Software'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.
American Software '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 American Software'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 American Software.
| 03/24/2024 |
| 04/23/2024 |
If you would invest 0.00 in American Software on March 24, 2024 and sell it all today you would earn a total of 0.00 from holding American Software or generate 0.0% return on investment in American Software over 30 days. American Software is related to or competes with C3 Ai, Shopify, Snowflake, and ServiceNow. American Software, Inc. develops, markets, and supports a range of computer business application software products in th... More
American Software 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 American Software'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 American Software upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.09) | |||
| Maximum Drawdown | 17.12 | |||
| Value At Risk | (4.36) | |||
| Potential Upside | 2.39 |
American Software Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for American Software's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as American Software's standard deviation. In reality, there are many statistical measures that can use American Software historical prices to predict the future American Software's volatility.| Risk Adjusted Performance | (0.02) | |||
| Jensen Alpha | (0.21) | |||
| Total Risk Alpha | (0.40) | |||
| Treynor Ratio | (0.09) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of American Software'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.
American Software Backtested Returns
American Software secures Sharpe Ratio (or Efficiency) of -0.0604, which signifies that the company had a -0.0604% return per unit of standard deviation over the last 3 months. American Software exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm American Software's mean deviation of 1.33, and Risk Adjusted Performance of (0.02) to double-check the risk estimate we provide. The firm shows a Beta (market volatility) of 1.24, 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, American Software will likely underperform. American Software has an expected return of -0.14%. Please make sure to confirm American Software maximum drawdown, and the relationship between the information ratio and accumulation distribution , to decide if American Software performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.52 |
Modest predictability
American Software has modest predictability. Overlapping area represents the amount of predictability between American Software 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 American Software price movement. The serial correlation of 0.52 indicates that about 52.0% of current American Software price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.52 | |
| Spearman Rank Test | 0.44 | |
| Residual Average | 0.0 | |
| Price Variance | 0.38 |
American Software lagged returns against current returns
Autocorrelation, which is American Software 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 American Software's stock expected returns. We can calculate the autocorrelation of American Software returns to help us make a trade decision. For example, suppose you find that American Software 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 |
American Software 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 American Software stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if American Software stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in American Software stock over time.
Current vs Lagged Prices |
| Timeline |
American Software Lagged Returns
When evaluating American Software's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of American Software stock have on its future price. American Software 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, American Software autocorrelation shows the relationship between American Software stock current value and its past values and can show if there is a momentum factor associated with investing in American Software.
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 American Software 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, American Software's short interest history, or implied volatility extrapolated from American Software options trading.
Pair Trading with American Software
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 American Software 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 American Software will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to American Software could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace American Software 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 American Software - 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 American Software to buy it.
The correlation of American Software 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 American Software moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if American Software 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 American Software 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 American Software Correlation, American Software Volatility and American Software Alpha and Beta module to complement your research on American Software. For information on how to trade American Stock refer to our How to Trade American Stock guide.You can also try the My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
Complementary Tools for American Stock analysis
When running American Software's price analysis, check to measure American Software'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 American Software is operating at the current time. Most of American Software's value examination focuses on studying past and present price action to predict the probability of American Software's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move American Software's price. Additionally, you may evaluate how the addition of American Software to your portfolios can decrease your overall portfolio volatility.
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American Software 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.