Agilysys Stock Market Value
| AGYS Stock | USD 66.36 1.03 1.53% |
| Symbol | Agilysys |
Agilysys Valuation
Is Agilysys' 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 Agilysys. If investors know Agilysys 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 Agilysys 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 (0.60) | Earnings Share 0.42 | Revenue Per Share 8.339 | Quarterly Revenue Growth 0.18 | Return On Assets 0.0323 |
The market value of Agilysys is measured differently than its book value, which is the value of Agilysys that is recorded on the company's balance sheet. Investors also form their own opinion of Agilysys' value that differs from its market value or its book value, called intrinsic value, which is Agilysys' 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 Agilysys' market value can be influenced by many factors that don't directly affect Agilysys' 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 Agilysys' value and its price as these two are different measures arrived at by different means. Investors typically determine if Agilysys is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Agilysys' 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.
Agilysys '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 Agilysys' 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 Agilysys.
| 08/22/2023 |
| 09/21/2023 |
If you would invest 0.00 in Agilysys on August 22, 2023 and sell it all today you would earn a total of 0.00 from holding Agilysys or generate 0.0% return on investment in Agilysys over 30 days. Agilysys is related to or competes with C3 Ai, Kingsoft Cloud, and MoneyLion. Agilysys, Inc., together with its subsidiaries, operates as a developer and marketer of hardware and software products a... More
Agilysys 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 Agilysys' 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 Agilysys upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.05) | |||
| Maximum Drawdown | 7.65 | |||
| Value At Risk | (3.07) | |||
| Potential Upside | 3.31 |
Agilysys Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Agilysys' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Agilysys' standard deviation. In reality, there are many statistical measures that can use Agilysys historical prices to predict the future Agilysys' volatility.| Risk Adjusted Performance | (0.020074) | |||
| Jensen Alpha | (0.09) | |||
| Total Risk Alpha | (0.09) | |||
| Treynor Ratio | (0.08) |
Sophisticated investors, who have witnessed many market ups and downs, frequently view the market will even out over time. This tendency of Agilysys' 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. Please use the tools below to analyze the current value of Agilysys in the context of predictive analytics.
Agilysys Backtested Returns
We consider Agilysys very steady. Agilysys secures Sharpe Ratio (or Efficiency) of 0.0297, which signifies that the company had 0.0297% of return per unit of risk over the last 3 months. Our standpoint towards foreseeing the volatility of a stock is to use all available market data together with stock-specific technical indicators that cannot be diversified away. We have found fifteen technical indicators for Agilysys, which you can use to evaluate the future volatility of the firm. Please confirm Agilysys Standard Deviation of 1.86, risk adjusted performance of (0.020074), and Mean Deviation of 1.49 to double-check if the risk estimate we provide is consistent with the expected return of 0.0537%. Agilysys has a performance score of 2 on a scale of 0 to 100. The firm shows a Beta (market volatility) of 1.1543, 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, Agilysys will likely underperform. Although it is important to respect Agilysys historical returns, it is better to be realistic regarding the information on the equity's current trending patterns. Our main philosophy towards foreseeing future performance of any stock is to evaluate the business as a whole together with its past performance, including all available fundamental and technical indicators. By analyzing Agilysys technical indicators, you can presently evaluate if the expected return of 0.0537% will be sustainable into the future. Agilysys right now shows a risk of 1.81%. Please confirm Agilysys coefficient of variation and value at risk to decide if Agilysys will be following its price patterns.
Auto-correlation | -0.12 |
Insignificant reverse predictability
Agilysys has insignificant reverse predictability. Overlapping area represents the amount of predictability between Agilysys time series from 22nd of August 2023 to 6th of September 2023 and 6th of September 2023 to 21st of September 2023. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Agilysys price movement. The serial correlation of -0.12 indicates that less than 12.0% of current Agilysys price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.12 | |
| Spearman Rank Test | -0.41 | |
| Residual Average | 0.0 | |
| Price Variance | 1.22 |
Agilysys lagged returns against current returns
Autocorrelation, which is Agilysys 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 Agilysys' stock expected returns. We can calculate the autocorrelation of Agilysys returns to help us make a trade decision. For example, suppose you find that Agilysys stock 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 stock movement to match the lagging time series.
Current and Lagged Values |
| Timeline |
Agilysys 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 Agilysys stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Agilysys stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Agilysys stock over time.
Current vs Lagged Prices |
| Timeline |
Agilysys Lagged Returns
When evaluating Agilysys' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Agilysys stock have on its future price. Agilysys 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, Agilysys autocorrelation shows the relationship between Agilysys stock current value and its past values and can show if there is a momentum factor associated with investing in Agilysys.
Regressed Prices |
| Timeline |
Be your own money manager
Our tools can tell you how much better you can do entering a position in Agilysys without increasing your portfolio risk or giving up the expected return. As an individual investor, you need to find a reliable way to track all your investment portfolios. However, your requirements will often be based on how much of the process you decide to do yourself. In addition to allowing all investors analytical transparency into all their portfolios, our tools can evaluate risk-adjusted returns of your individual positions relative to your overall portfolio.Did you try this?
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Performance AnalysisCheck effects of mean-variance optimization against your current asset allocation |
| All Next | Launch Module |
Pair Trading with Agilysys
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 Agilysys 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 Agilysys will appreciate offsetting losses from the drop in the long position's value.Moving against Agilysys Stock
| - | 0.55 | PALT | Paltalk | Fiscal Quarter End 30th of September 2023 | PairCorr |
The ability to find closely correlated positions to Agilysys could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Agilysys 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 Agilysys - 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 Agilysys to buy it.
The correlation of Agilysys is a statistical measure of how it moves in relation to other equities. 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 Agilysys moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Agilysys 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 Agilysys 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 Agilysys Correlation, Agilysys Volatility and Agilysys Alpha and Beta module to complement your research on Agilysys. For more information on how to buy Agilysys Stock please use our How to Invest in Agilysys guide. You can also try the Global Correlations module to find global opportunities by holding instruments from different markets.
Complementary Tools for Agilysys Stock analysis
When running Agilysys' price analysis, check to measure Agilysys' 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 Agilysys is operating at the current time. Most of Agilysys' value examination focuses on studying past and present price action to predict the probability of Agilysys' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Agilysys' price. Additionally, you may evaluate how the addition of Agilysys to your portfolios can decrease your overall portfolio volatility.
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| Fundamental Analysis View fundamental data based on most recent published financial statements | |
| Portfolio Backtesting Avoid under-diversification and over-optimization by backtesting your portfolios | |
| Aroon Oscillator Analyze current equity momentum using Aroon Oscillator and other momentum ratios | |
| Alpha Finder Use alpha and beta coefficients to find investment opportunities after accounting for the risk | |
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| Global Correlations Find global opportunities by holding instruments from different markets | |
| Pattern Recognition Use different Pattern Recognition models to time the market across multiple global exchanges | |
| Global Correlations Find global opportunities by holding instruments from different markets | |
| Global Correlations Find global opportunities by holding instruments from different markets | |
| Performance Analysis Check effects of mean-variance optimization against your current asset allocation | |
| Positions Ratings Determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance |
Agilysys 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.