Synopsys Stock Market Value
| SNPS Stock | USD 446.23 17.65 4.12% |
| Symbol | Synopsys |
Synopsys Price To Book Ratio
Is Application Software space 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 Synopsys. If investors know Synopsys 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 Synopsys 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 (0.35) | Earnings Share 8.3 | Revenue Per Share | Quarterly Revenue Growth (0.04) | Return On Assets |
The market value of Synopsys is measured differently than its book value, which is the value of Synopsys that is recorded on the company's balance sheet. Investors also form their own opinion of Synopsys' value that differs from its market value or its book value, called intrinsic value, which is Synopsys' 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 Synopsys' market value can be influenced by many factors that don't directly affect Synopsys' 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 Synopsys' value and its price as these two are different measures arrived at by different means. Investors typically determine if Synopsys is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Synopsys' 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.
Synopsys '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 Synopsys' 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 Synopsys.
| 12/17/2024 |
| 03/17/2025 |
If you would invest 0.00 in Synopsys on December 17, 2024 and sell it all today you would earn a total of 0.00 from holding Synopsys or generate 0.0% return on investment in Synopsys over 90 days. Synopsys is related to or competes with Zscaler, Palo Alto, Crowdstrike Holdings, Okta, Cloudflare, MongoDB, and Adobe Systems. Synopsys, Inc. provides electronic design automation software products used to design and test integrated circuits More
Synopsys 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 Synopsys' 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 Synopsys upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.05) | |||
| Maximum Drawdown | 9.92 | |||
| Value At Risk | (3.87) | |||
| Potential Upside | 3.01 |
Synopsys Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Synopsys' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Synopsys' standard deviation. In reality, there are many statistical measures that can use Synopsys historical prices to predict the future Synopsys' volatility.| Risk Adjusted Performance | (0.07) | |||
| Jensen Alpha | (0.09) | |||
| Total Risk Alpha | 0.0606 | |||
| Treynor Ratio | (0.18) |
Synopsys Backtested Returns
Synopsys owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.0925, which indicates the firm had a -0.0925 % return per unit of risk over the last 3 months. Synopsys exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Synopsys' Coefficient Of Variation of (1,080), risk adjusted performance of (0.07), and Variance of 4.68 to confirm the risk estimate we provide. The entity has a beta of 1.14, which indicates a somewhat significant risk relative to the market. Synopsys returns are very sensitive to returns on the market. As the market goes up or down, Synopsys is expected to follow. At this point, Synopsys has a negative expected return of -0.2%. Please make sure to validate Synopsys' treynor ratio, accumulation distribution, as well as the relationship between the Accumulation Distribution and price action indicator , to decide if Synopsys performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.7 |
Very good reverse predictability
Synopsys has very good reverse predictability. Overlapping area represents the amount of predictability between Synopsys time series from 17th of December 2024 to 31st of January 2025 and 31st of January 2025 to 17th of March 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Synopsys price movement. The serial correlation of -0.7 indicates that around 70.0% of current Synopsys price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.7 | |
| Spearman Rank Test | -0.56 | |
| Residual Average | 0.0 | |
| Price Variance | 1460.76 |
Synopsys lagged returns against current returns
Autocorrelation, which is Synopsys 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 Synopsys' stock expected returns. We can calculate the autocorrelation of Synopsys returns to help us make a trade decision. For example, suppose you find that Synopsys 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 |
Synopsys 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 Synopsys stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Synopsys stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Synopsys stock over time.
Current vs Lagged Prices |
| Timeline |
Synopsys Lagged Returns
When evaluating Synopsys' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Synopsys stock have on its future price. Synopsys 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, Synopsys autocorrelation shows the relationship between Synopsys stock current value and its past values and can show if there is a momentum factor associated with investing in Synopsys.
Regressed Prices |
| Timeline |
Thematic Opportunities
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Additional Tools for Synopsys Stock Analysis
When running Synopsys' price analysis, check to measure Synopsys' 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 Synopsys is operating at the current time. Most of Synopsys' value examination focuses on studying past and present price action to predict the probability of Synopsys' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Synopsys' price. Additionally, you may evaluate how the addition of Synopsys to your portfolios can decrease your overall portfolio volatility.