Semiconductor Manufacturing (China) Market Value
| 688469 Stock | 5.14 0.02 0.39% |
| 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.
| 12/17/2024 |
| 03/17/2025 |
If you would invest 0.00 in Semiconductor Manufacturing on December 17, 2024 and sell it all today you would earn a total of 0.00 from holding Semiconductor Manufacturing Electronics or generate 0.0% return on investment in Semiconductor Manufacturing over 90 days. Semiconductor Manufacturing is related to or competes with Jiangsu Yueda, Zhangjiagang Elegant, Ningbo Homelink, Xilinmen Furniture, Der International, Henan Shuanghui, and Beijing Jiaman. Semiconductor Manufacturing is entity of China 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 Electronics upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.05) | |||
| Maximum Drawdown | 8.39 | |||
| Value At Risk | (3.04) | |||
| Potential Upside | 3.0 |
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 | (0.08) | |||
| Jensen Alpha | (0.19) | |||
| Total Risk Alpha | 0.0357 | |||
| Treynor Ratio | (4.21) |
Semiconductor Manufacturing Backtested Returns
Semiconductor Manufacturing owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.0616, which indicates the firm had a -0.0616 % return per unit of risk over the last 3 months. Semiconductor Manufacturing Electronics exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Semiconductor Manufacturing's Variance of 3.31, risk adjusted performance of (0.08), and Coefficient Of Variation of (998.88) to confirm the risk estimate we provide. The entity has a beta of 0.0457, which indicates not very significant fluctuations relative to the market. As returns on the market increase, Semiconductor Manufacturing's returns are expected to increase less than the market. However, during the bear market, the loss of holding Semiconductor Manufacturing is expected to be smaller as well. At this point, Semiconductor Manufacturing has a negative expected return of -0.12%. Please make sure to validate Semiconductor Manufacturing's total risk alpha, maximum drawdown, and the relationship between the jensen 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 | -0.87 |
Excellent reverse predictability
Semiconductor Manufacturing Electronics has excellent reverse predictability. Overlapping area represents the amount of predictability between Semiconductor Manufacturing 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 Semiconductor Manufacturing price movement. The serial correlation of -0.87 indicates that approximately 87.0% of current Semiconductor Manufacturing price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.87 | |
| Spearman Rank Test | -0.35 | |
| Residual Average | 0.0 | |
| Price Variance | 0.03 |
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 Electronics.
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.