Synopsys Stock Market Value
SNPS Stock | USD 527.52 0.02 0% |
Symbol | Synopsys |
Synopsys Price To Book Ratio
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 0.651 | Earnings Share 9.07 | Revenue Per Share 40.3 | Quarterly Revenue Growth 0.211 | Return On Assets 0.0875 |
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.
03/26/2024 |
| 04/25/2024 |
If you would invest 0.00 in Synopsys on March 26, 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 30 days. Synopsys is related to or competes with SentinelOne, Confluent, MongoDB, AvidXchange Holdings, Informatica, Zscaler, and Okta. 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 | (0.06) | |||
Maximum Drawdown | 11.76 | |||
Value At Risk | (2.69) | |||
Potential Upside | 2.96 |
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 | 1.0E-4 | |||
Jensen Alpha | (0.15) | |||
Total Risk Alpha | (0.28) | |||
Treynor Ratio | (0.02) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that 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.
Synopsys Backtested Returns
We consider Synopsys very steady. Synopsys owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0089, which indicates the firm had a 0.0089% return per unit of risk over the last 3 months. We have found twenty-four technical indicators for Synopsys, which you can use to evaluate the volatility of the company. Please validate Synopsys' Risk Adjusted Performance of 1.0E-4, coefficient of variation of (9,294), and Variance of 3.88 to confirm if the risk estimate we provide is consistent with the expected return of 0.0178%. The entity has a beta of 1.58, which indicates 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, Synopsys will likely underperform. Synopsys right now has a risk of 2.01%. Please validate Synopsys treynor ratio, accumulation distribution, as well as the relationship between the Accumulation Distribution and price action indicator , to decide if Synopsys will be following its existing price patterns.
Auto-correlation | 0.28 |
Poor predictability
Synopsys has poor predictability. Overlapping area represents the amount of predictability between Synopsys time series from 26th of March 2024 to 10th of April 2024 and 10th of April 2024 to 25th 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 Synopsys price movement. The serial correlation of 0.28 indicates that nearly 28.0% of current Synopsys price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.28 | |
Spearman Rank Test | 0.15 | |
Residual Average | 0.0 | |
Price Variance | 307.95 |
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 |
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 market does not have solid backing from leading economists and market statisticians.
Investor biases related to Synopsys' public news can be used to forecast risks associated with an 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 equities 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.
Currently Active Assets on Macroaxis
When determining whether Synopsys is a strong investment it is important to analyze Synopsys' competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact Synopsys' future performance. For an informed investment choice regarding Synopsys Stock, refer to the following important reports:Check out Synopsys Correlation, Synopsys Volatility and Synopsys Alpha and Beta module to complement your research on Synopsys. For more information on how to buy Synopsys Stock please use our How to Invest in Synopsys guide.You can also try the Portfolio Diagnostics module to use generated alerts and portfolio events aggregator to diagnose current holdings.
Complementary 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.
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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.