Metallurgical (China) Market Value
| 601618 Stock | 3.11 0.01 0.32% |
| Symbol | Metallurgical |
Metallurgical '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 Metallurgical'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 Metallurgical.
| 12/03/2024 |
| 03/03/2025 |
If you would invest 0.00 in Metallurgical on December 3, 2024 and sell it all today you would earn a total of 0.00 from holding Metallurgical of or generate 0.0% return on investment in Metallurgical over 90 days. Metallurgical is related to or competes with Hubeiyichang Transportation, Hongrun Construction, Nanxing Furniture, Shenzhen Urban, Hainan Haiqi, Fujian Longzhou, and Tjk Machinery. More
Metallurgical 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 Metallurgical'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 Metallurgical of upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.09) | |||
| Maximum Drawdown | 6.03 | |||
| Value At Risk | (2.08) | |||
| Potential Upside | 1.79 |
Metallurgical Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Metallurgical's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Metallurgical's standard deviation. In reality, there are many statistical measures that can use Metallurgical historical prices to predict the future Metallurgical's volatility.| Risk Adjusted Performance | (0.1) | |||
| Jensen Alpha | (0.15) | |||
| Total Risk Alpha | (0.07) | |||
| Treynor Ratio | (0.84) |
Metallurgical Backtested Returns
Metallurgical has Sharpe Ratio of -0.13, which conveys that the firm had a -0.13 % return per unit of risk over the last 3 months. Metallurgical exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please verify Metallurgical's Standard Deviation of 1.13, risk adjusted performance of (0.1), and Mean Deviation of 0.8481 to check out the risk estimate we provide. The company secures a Beta (Market Risk) of 0.19, which conveys not very significant fluctuations relative to the market. As returns on the market increase, Metallurgical's returns are expected to increase less than the market. However, during the bear market, the loss of holding Metallurgical is expected to be smaller as well. At this point, Metallurgical has a negative expected return of -0.15%. Please make sure to verify Metallurgical's treynor ratio, potential upside, and the relationship between the total risk alpha and maximum drawdown , to decide if Metallurgical performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.39 |
Poor reverse predictability
Metallurgical of has poor reverse predictability. Overlapping area represents the amount of predictability between Metallurgical time series from 3rd of December 2024 to 17th of January 2025 and 17th of January 2025 to 3rd 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 Metallurgical price movement. The serial correlation of -0.39 indicates that just about 39.0% of current Metallurgical price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.39 | |
| Spearman Rank Test | -0.43 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Metallurgical lagged returns against current returns
Autocorrelation, which is Metallurgical 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 Metallurgical's stock expected returns. We can calculate the autocorrelation of Metallurgical returns to help us make a trade decision. For example, suppose you find that Metallurgical 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 |
Metallurgical 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 Metallurgical stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Metallurgical stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Metallurgical stock over time.
Current vs Lagged Prices |
| Timeline |
Metallurgical Lagged Returns
When evaluating Metallurgical's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Metallurgical stock have on its future price. Metallurgical 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, Metallurgical autocorrelation shows the relationship between Metallurgical stock current value and its past values and can show if there is a momentum factor associated with investing in Metallurgical of.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in Metallurgical Stock
Metallurgical financial ratios help investors to determine whether Metallurgical 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 Metallurgical with respect to the benefits of owning Metallurgical security.