Synopsys Stock Market Value


USD 348.17  9.67  2.70%   

Synopsys' market value is the price at which a share of Synopsys stock trades on a public exchange. It measures the collective expectations of Synopsys investors about the entity's future performance. With this module, you can estimate the performance of a buy and hold strategy of Synopsys and determine expected loss or profit from investing in Synopsys over a given investment horizon. Additionally, take a look at Synopsys Correlation, Synopsys Volatility and Synopsys Alpha and Beta module to complement your research on Synopsys.

Is Synopsys' 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 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 YOY
Market Capitalization
53.2 B
Quarterly Revenue Growth YOY
Return On Assets
Return On Equity
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 Synopsys value 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.
No Change 0.00  0.0 
In 31 days
If you would invest  0.00  in Synopsys on November 4, 2022 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 30 days. Synopsys is related to or competes with Allot Communications, Appian Corp, A10 Network, BlackBerry, Consensus Cloud, Check Point, and CSG 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.

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.
Sophisticated investors, who have witnessed many market ups and downs, frequently view the market will even out over time. This tendency of Synopsys' 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 Synopsys in the context of predictive analytics.
LowEstimated ValueHigh
LowReal ValueHigh
10 Analysts
LowTarget PriceHigh
Estimates (2)
LowProjected EPSHigh
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Synopsys. Your research has to be compared to or analyzed against Synopsys' peers to derive any actionable benefits. When done correctly, Synopsys' competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy towards taking a position in Synopsys.

Synopsys Backtested Returns

We consider Synopsys very steady. Synopsys owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0502, which indicates the firm had 0.0502% of return per unit of risk over the last 3 months. Our standpoint towards measuring 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 twenty-eight technical indicators for Synopsys, which you can use to evaluate the future volatility of the company. Please validate Synopsys Coefficient Of Variation of 6122.1, risk adjusted performance of 0.0285, and Semi Deviation of 2.12 to confirm if the risk estimate we provide is consistent with the expected return of 0.13%.
Synopsys has a performance score of 3 on a scale of 0 to 100. The entity has a beta of 1.2686, which indicates a somewhat significant risk relative to the market. Let's try to break down what Synopsys's beta means in this case. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Synopsys will likely underperform. Although it is important to respect Synopsys current price movements, it is better to be realistic regarding the information on the equity's historical returns. The philosophy towards measuring 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 inspecting Synopsys technical indicators, you can presently evaluate if the expected return of 0.13% will be sustainable into the future. Synopsys right now has a risk of 2.59%. Please validate Synopsys potential upside, as well as the relationship between the accumulation distribution and price action indicator to decide if Synopsys will be following its existing price patterns.



Good predictability

Synopsys has good predictability. Overlapping area represents the amount of predictability between Synopsys time series from 4th of November 2022 to 19th of November 2022 and 19th of November 2022 to 4th of December 2022. 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 0.61 indicates that roughly 61.0% of current Synopsys price fluctuation can be explain by its past prices.
Correlation Coefficient0.61
Spearman Rank Test0.44
Residual Average0.0
Price Variance120.63

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 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   

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   

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   

Synopsys Investors Sentiment

The influence of Synopsys' investor sentiment on the probability of its price appreciation or decline could be a good factor in your decision-making process regarding taking a position in Synopsys. The overall investor sentiment generally increases the direction of a stock movement in a one-year investment horizon. However, the impact of investor sentiment on the entire stock markets does not have a solid backing from leading economists and market statisticians.
Investor biases related to Synopsys' public news can be used to forecast risks associated with investment in Synopsys. The trend in average sentiment can be used to explain how an investor holding Synopsys can time the market purely based on public headlines and social activities around Synopsys. Please note that most equiteis that are difficult to arbitrage are affected by market sentiment the most.
Synopsys' market sentiment shows the aggregated news analyzed to detect positive and negative mentions from the text and comments. The data is normalized to provide daily scores for Synopsys' and other traded tickers. The bigger the bubble, the more accurate is the estimated score. Higher bars for a given day show more participation in the average Synopsys' news discussions. The higher the estimated score, the more favorable is the investor's outlook on Synopsys.
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 Synopsys 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, Synopsys' short interest history, or implied volatility extrapolated from Synopsys options trading.

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Additionally, take a look at Synopsys Correlation, Synopsys Volatility and Synopsys Alpha and Beta module to complement your research on Synopsys. You can also try Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.

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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 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.
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Synopsys 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.
A focus of Synopsys technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of Synopsys trading pattern rather than external drivers such as economic, fundamental, or social events. It is believed that price action tends to repeat itself due to investors' collective, patterned behavior. Hence technical analysis focuses on identifiable price trends and conditions. More Info...