Semiconductor Manufacturing (China) Market Value
| 688981 Stock | 90.10 3.02 3.47% |
| 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.
| 12/12/2022 |
| 12/01/2024 |
If you would invest 0.00 in Semiconductor Manufacturing on December 12, 2022 and sell it all today you would earn a total of 0.00 from holding Semiconductor Manufacturing Intl or generate 0.0% return on investment in Semiconductor Manufacturing over 720 days. Semiconductor Manufacturing is related to or competes with Industrial, Kweichow Moutai, Agricultural Bank, China Mobile, PetroChina, China Construction, and Bank of China. 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 Intl upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 3.26 | |||
| Information Ratio | 0.169 | |||
| Maximum Drawdown | 30.58 | |||
| Value At Risk | (5.06) | |||
| Potential Upside | 16.53 |
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 | 0.1559 | |||
| Jensen Alpha | 1.08 | |||
| Total Risk Alpha | 0.1394 | |||
| Sortino Ratio | 0.3019 | |||
| Treynor Ratio | 4.57 |
Semiconductor Manufacturing Backtested Returns
Semiconductor Manufacturing is very steady given 3 months investment horizon. Semiconductor Manufacturing owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.21, which indicates the firm had a 0.21% return per unit of risk over the last 3 months. We were able to analyze twenty-nine different technical indicators, which can help you to evaluate if expected returns of 1.29% are justified by taking the suggested risk. Use Semiconductor Manufacturing Risk Adjusted Performance of 0.1559, semi deviation of 2.77, and Coefficient Of Variation of 519.22 to evaluate company specific risk that cannot be diversified away. Semiconductor Manufacturing holds a performance score of 16 on a scale of zero to a hundred. The entity has a beta of 0.24, 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. Use Semiconductor Manufacturing downside deviation, standard deviation, total risk alpha, as well as the relationship between the coefficient of variation and jensen alpha , to analyze future returns on Semiconductor Manufacturing.
Auto-correlation | 0.25 |
Poor predictability
Semiconductor Manufacturing Intl has poor predictability. Overlapping area represents the amount of predictability between Semiconductor Manufacturing time series from 12th of December 2022 to 7th of December 2023 and 7th of December 2023 to 1st of December 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 Semiconductor Manufacturing price movement. The serial correlation of 0.25 indicates that over 25.0% of current Semiconductor Manufacturing price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.25 | |
| Spearman Rank Test | 0.08 | |
| Residual Average | 0.0 | |
| Price Variance | 279.0 |
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 Intl.
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.