Synopsys (Germany) Market Value
| SYP Stock | EUR 530.00 6.10 1.16% |
| Symbol | Synopsys |
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.
| 06/03/2024 |
| 11/30/2024 |
If you would invest 0.00 in Synopsys on June 3, 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 180 days. Synopsys is related to or competes with Superior Plus, NMI Holdings, Origin Agritech, SIVERS SEMICONDUCTORS, NorAm Drilling, and Talanx AG. 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.
| Downside Deviation | 2.12 | |||
| Information Ratio | 0.0399 | |||
| Maximum Drawdown | 9.72 | |||
| Value At Risk | (2.70) | |||
| Potential Upside | 4.03 |
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 | 0.0848 | |||
| Jensen Alpha | 0.0106 | |||
| Total Risk Alpha | (0.15) | |||
| Sortino Ratio | 0.0415 | |||
| Treynor Ratio | 0.1342 |
Synopsys Backtested Returns
Synopsys appears to be very steady, given 3 months investment horizon. Synopsys owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0954, which indicates the firm had a 0.0954% return per unit of risk over the last 3 months. We have found thirty technical indicators for Synopsys, which you can use to evaluate the volatility of the company. Please review Synopsys' Semi Deviation of 1.96, coefficient of variation of 976.59, and Risk Adjusted Performance of 0.0848 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Synopsys holds a performance score of 7. The entity has a beta of 1.61, 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. Please check Synopsys' potential upside, skewness, and the relationship between the maximum drawdown and semi variance , to make a quick decision on whether Synopsys' existing price patterns will revert.
Auto-correlation | -0.67 |
Very good reverse predictability
Synopsys has very good reverse predictability. Overlapping area represents the amount of predictability between Synopsys time series from 3rd of June 2024 to 1st of September 2024 and 1st of September 2024 to 30th of November 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 -0.67 indicates that around 67.0% of current Synopsys price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.67 | |
| Spearman Rank Test | -0.61 | |
| Residual Average | 0.0 | |
| Price Variance | 1123.13 |
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 |
Currently Active Assets on Macroaxis
Additional Information and Resources on Investing in Synopsys Stock
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 detail on how to invest in Synopsys Stock please use our How to Invest in Synopsys guide.You can also try the Risk-Return Analysis module to view associations between returns expected from investment and the risk you assume.
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.