View All Agilysys optionsAgilysys' implied volatility is one of the determining factors in the pricing options written on Agilysys. Implied volatility approximates the future value of Agilysys based on the option's current value. Options with high implied volatility have higher premiums and can be used to hedge the downside of investing in Agilysys over a specific time period. For example, 2023-10-20 CALL at $65.0 is a CALL option contract on Agilysys' common stock with a strick price of 65.0 expiring on 2023-10-20. The contract was not traded in recent days and, as of today, has 29 days remaining before the expiration. The option is currently trading at a bid price of $2.0, and an ask price of $6.0. The implied volatility as of the 21st of September is 42.29.
Agilysys' future price is the expected price of Agilysys instrument. It is based on its current growth rate as well as the projected cash flow expected by the investors. This tool provides a mechanism to make assumptions about the upside potential and downside risk of Agilysys performance during a given time horizon utilizing its historical volatility. Check out Agilysys Backtesting, Agilysys Valuation, Agilysys Correlation, Agilysys Hype Analysis, Agilysys Volatility, Agilysys History as well as Agilysys Performance. For more information on how to buy Agilysys Stock please use our How to Invest in Agilysys guide.Please specify Agilysys time horizon, a valid symbol (red box) and a target price (blue box) you would like Agilysys odds to be computed. Price to Book Value is likely to gain to 20.53 in 2023. Price to Earnings Ratio is likely to gain to 171.20 in 2023.
Closest to current price Agilysys long CALL Option Payoff at Expiration
Agilysys Target Price Odds to finish over 66.36
The tendency of Agilysys Stock price to converge on an average value over time is a known aspect in finance that investors have used since the beginning of the stock market for forecasting. However, many studies suggest that some traded equity instruments are consistently mispriced before traders' demand and supply correct the spread. One possible conclusion to this anomaly is that these stocks have additional risk, for which investors demand compensation in the form of extra returns.Given the investment horizon of 90 days the stock has the beta coefficient of 1.15 . This suggests Agilysys market returns are related to returns on the market. As the market goes up or down, Agilysys is expected to follow. Additionally The company has a negative alpha, implying that the risk taken by holding this instrument is not justified. Agilysys is significantly underperforming NYSE Composite.
Predictive Modules for AgilysysThere are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Agilysys. Regardless of method or technology, however, to accurately forecast the stock or bond market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.
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 Risk IndicatorsFor the most part, the last 10-20 years have been a very volatile time for the stock market. Agilysys is not an exception. The market had few large corrections towards the Agilysys' value, including both sudden drops in prices as well as massive rallies. These swings have made and broken many portfolios. An investor can limit the violent swings in their portfolio by implementing a hedging strategy designed to limit downside losses. If you hold Agilysys, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Agilysys within the framework of very fundamental risk indicators.
Agilysys Alerts and SuggestionsIn today's market, stock alerts give investors the competitive edge they need to time the market and increase returns. Checking the ongoing alerts of Agilysys for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Agilysys can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.
Agilysys Price Density Drivers
Market volatility will typically increase when nervous long traders begin to feel the short-sellers pressure to drive the market lower. The future price of Agilysys Stock often depends not only on the future outlook of the current and potential Agilysys' investors but also on the ongoing dynamics between investors with different trading styles. Because the market risk indicators may have small false signals, it is better to identify suitable times to hedge a portfolio using different long/short signals. Agilysys' indicators that are reflective of the short sentiment are summarized in the table below.
Agilysys Technical Analysis
Agilysys' future price can be derived by breaking down and analyzing its technical indicators over time. Agilysys Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Agilysys. In general, you should focus on analyzing Agilysys Stock price patterns and their correlations with different microeconomic environments and drivers.
Agilysys Predictive Forecast Models
Agilysys' time-series forecasting models is one of many Agilysys' stock analysis techniques aimed to predict future share value based on previously observed values. Time-series forecasting models are widely used for non-stationary data. Non-stationary data are called the data whose statistical properties, e.g., the mean and standard deviation, are not constant over time, but instead, these metrics vary over time. This non-stationary Agilysys' historical data is usually called time series. Some empirical experimentation suggests that the statistical forecasting models outperform the models based exclusively on fundamental analysis to predict the direction of the stock market movement and maximize returns from investment trading.
Things to note about Agilysys
Checking the ongoing alerts about Agilysys for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Agilysys help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
Check out Agilysys Backtesting, Agilysys Valuation, Agilysys Correlation, Agilysys Hype Analysis, Agilysys Volatility, Agilysys History as well as Agilysys Performance. For more information on how to buy Agilysys Stock please use our How to Invest in Agilysys guide. You can also try the Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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.
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
Revenue Per Share
Quarterly Revenue Growth
Return On Assets
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.