Semiconductor Manufacturing (Germany) Market Value
| MKN2 Stock | EUR 3.40 0.00 0.00% |
| Symbol | Semiconductor |
Semiconductor Manufacturing '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 Semiconductor Manufacturing'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 Semiconductor Manufacturing.
| 12/24/2024 |
| 01/23/2025 |
If you would invest 0.00 in Semiconductor Manufacturing on December 24, 2024 and sell it all today you would earn a total of 0.00 from holding Semiconductor Manufacturing International or generate 0.0% return on investment in Semiconductor Manufacturing over 30 days. Semiconductor Manufacturing is related to or competes with Siemens Healthineers, Acadia Healthcare, Phibro Animal, Webster Financial, RCI Hospitality, JSC Halyk, and NIGHTINGALE HEALTH. Semiconductor Manufacturing International Corporation, an investment holding company, engages in the computer-aided desi... More
Semiconductor Manufacturing 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 Semiconductor Manufacturing'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 Semiconductor Manufacturing International upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 4.77 | |||
| Information Ratio | 0.0576 | |||
| Maximum Drawdown | 37.76 | |||
| Value At Risk | (1.35) |
Semiconductor Manufacturing Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Semiconductor Manufacturing's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Semiconductor Manufacturing's standard deviation. In reality, there are many statistical measures that can use Semiconductor Manufacturing historical prices to predict the future Semiconductor Manufacturing's volatility.| Risk Adjusted Performance | 0.0643 | |||
| Jensen Alpha | 0.2529 | |||
| Total Risk Alpha | 0.1281 | |||
| Sortino Ratio | 0.045 | |||
| Treynor Ratio | (0.47) |
Semiconductor Manufacturing Backtested Returns
Semiconductor Manufacturing owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.13, which indicates the firm had a -0.13 % return per unit of risk over the last 3 months. Semiconductor Manufacturing International exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Semiconductor Manufacturing's Risk Adjusted Performance of 0.0643, semi deviation of 1.26, and Coefficient Of Variation of 1491.17 to confirm the risk estimate we provide. The entity has a beta of -0.51, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning Semiconductor Manufacturing are expected to decrease at a much lower rate. During the bear market, Semiconductor Manufacturing is likely to outperform the market. At this point, Semiconductor Manufacturing has a negative expected return of -0.0101%. Please make sure to validate Semiconductor Manufacturing's sortino ratio, maximum drawdown, and the relationship between the total risk alpha and treynor ratio , to decide if Semiconductor Manufacturing performance from the past will be repeated at some point in the near future.
Auto-correlation | 1.00 |
Perfect predictability
Semiconductor Manufacturing International has perfect predictability. Overlapping area represents the amount of predictability between Semiconductor Manufacturing time series from 24th of December 2024 to 8th of January 2025 and 8th of January 2025 to 23rd of January 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 Semiconductor Manufacturing price movement. The serial correlation of 1.0 indicates that 100.0% of current Semiconductor Manufacturing price fluctuation can be explain by its past prices.
| Correlation Coefficient | 1.0 | |
| Spearman Rank Test | 1.0 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Semiconductor Manufacturing lagged returns against current returns
Autocorrelation, which is Semiconductor Manufacturing 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 Semiconductor Manufacturing's stock expected returns. We can calculate the autocorrelation of Semiconductor Manufacturing returns to help us make a trade decision. For example, suppose you find that Semiconductor Manufacturing 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 |
Semiconductor Manufacturing 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 Semiconductor Manufacturing stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Semiconductor Manufacturing stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Semiconductor Manufacturing stock over time.
Current vs Lagged Prices |
| Timeline |
Semiconductor Manufacturing Lagged Returns
When evaluating Semiconductor Manufacturing's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Semiconductor Manufacturing stock have on its future price. Semiconductor Manufacturing 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, Semiconductor Manufacturing autocorrelation shows the relationship between Semiconductor Manufacturing stock current value and its past values and can show if there is a momentum factor associated with investing in Semiconductor Manufacturing International.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in Semiconductor Stock
Semiconductor Manufacturing financial ratios help investors to determine whether Semiconductor Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Semiconductor with respect to the benefits of owning Semiconductor Manufacturing security.