Ansys Inc Stock Market Value
| ANSS Stock | USD 324.81 2.70 0.84% |
| Symbol | ANSYS |
ANSYS Inc Price To Book Ratio
Is ANSYS'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 ANSYS. If investors know ANSYS 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 ANSYS 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 0.066 | Earnings Share 5.73 | Revenue Per Share 26.142 | Quarterly Revenue Growth 0.16 | Return On Assets 0.0559 |
The market value of ANSYS Inc is measured differently than its book value, which is the value of ANSYS that is recorded on the company's balance sheet. Investors also form their own opinion of ANSYS's value that differs from its market value or its book value, called intrinsic value, which is ANSYS'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 ANSYS's market value can be influenced by many factors that don't directly affect ANSYS'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 ANSYS's value and its price as these two are different measures arrived at by different means. Investors typically determine if ANSYS is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, ANSYS'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.
ANSYS '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 ANSYS'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 ANSYS.
| 07/28/2023 |
| 04/23/2024 |
If you would invest 0.00 in ANSYS on July 28, 2023 and sell it all today you would earn a total of 0.00 from holding ANSYS Inc or generate 0.0% return on investment in ANSYS over 270 days. ANSYS is related to or competes with C3 Ai, Shopify, Snowflake, and ServiceNow. ANSYS, Inc. develops and markets engineering simulation software and services worldwide More
ANSYS 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 ANSYS'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 ANSYS Inc upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.09) | |||
| Maximum Drawdown | 7.0 | |||
| Value At Risk | (2.12) | |||
| Potential Upside | 2.25 |
ANSYS Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for ANSYS's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as ANSYS's standard deviation. In reality, there are many statistical measures that can use ANSYS historical prices to predict the future ANSYS's volatility.| Risk Adjusted Performance | (0.01) | |||
| Jensen Alpha | (0.13) | |||
| Total Risk Alpha | (0.20) | |||
| Treynor Ratio | (0.03) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of ANSYS'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.
ANSYS Inc Backtested Returns
ANSYS Inc secures Sharpe Ratio (or Efficiency) of -0.0493, which signifies that the company had a -0.0493% return per unit of risk over the last 3 months. ANSYS Inc exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm ANSYS's risk adjusted performance of (0.01), and Mean Deviation of 0.9649 to double-check the risk estimate we provide. The firm shows a Beta (market volatility) of 1.15, 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, ANSYS will likely underperform. ANSYS Inc has an expected return of -0.0635%. Please make sure to confirm ANSYS Inc jensen alpha, kurtosis, as well as the relationship between the Kurtosis and price action indicator , to decide if ANSYS Inc performance from the past will be repeated at future time.
Auto-correlation | -0.35 |
Poor reverse predictability
ANSYS Inc has poor reverse predictability. Overlapping area represents the amount of predictability between ANSYS time series from 28th of July 2023 to 10th of December 2023 and 10th of December 2023 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 ANSYS Inc price movement. The serial correlation of -0.35 indicates that nearly 35.0% of current ANSYS price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.35 | |
| Spearman Rank Test | 0.02 | |
| Residual Average | 0.0 | |
| Price Variance | 244.27 |
ANSYS Inc lagged returns against current returns
Autocorrelation, which is ANSYS 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 ANSYS's stock expected returns. We can calculate the autocorrelation of ANSYS returns to help us make a trade decision. For example, suppose you find that ANSYS 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 |
ANSYS 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 ANSYS stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if ANSYS stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in ANSYS stock over time.
Current vs Lagged Prices |
| Timeline |
ANSYS Lagged Returns
When evaluating ANSYS's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of ANSYS stock have on its future price. ANSYS 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, ANSYS autocorrelation shows the relationship between ANSYS stock current value and its past values and can show if there is a momentum factor associated with investing in ANSYS Inc.
Regressed Prices |
| Timeline |
Pair Trading with ANSYS
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 ANSYS 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 ANSYS will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to ANSYS could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace ANSYS 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 ANSYS - 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 ANSYS Inc to buy it.
The correlation of ANSYS 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 ANSYS moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if ANSYS 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 ANSYS 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 ANSYS Correlation, ANSYS Volatility and ANSYS Alpha and Beta module to complement your research on ANSYS. You can also try the Options Analysis module to analyze and evaluate options and option chains as a potential hedge for your portfolios.
Complementary Tools for ANSYS Stock analysis
When running ANSYS's price analysis, check to measure ANSYS'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 ANSYS is operating at the current time. Most of ANSYS's value examination focuses on studying past and present price action to predict the probability of ANSYS's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move ANSYS's price. Additionally, you may evaluate how the addition of ANSYS to your portfolios can decrease your overall portfolio volatility.
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ANSYS 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.