Sany Heavy (China) Market Value
| 688349 Stock | 32.50 1.01 3.01% |
| Symbol | Sany |
Sany Heavy '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 Sany Heavy'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 Sany Heavy.
| 06/09/2023 |
| 11/30/2024 |
If you would invest 0.00 in Sany Heavy on June 9, 2023 and sell it all today you would earn a total of 0.00 from holding Sany Heavy Energy or generate 0.0% return on investment in Sany Heavy over 540 days. Sany Heavy is related to or competes with Sanbo Hospital, Impulse Qingdao, Offcn Education, By Health, Heren Health, Shandong Sinoglory, and Shanghai Rongtai. More
Sany Heavy 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 Sany Heavy'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 Sany Heavy Energy upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.76 | |||
| Information Ratio | 0.1261 | |||
| Maximum Drawdown | 21.0 | |||
| Value At Risk | (4.60) | |||
| Potential Upside | 7.83 |
Sany Heavy Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Sany Heavy's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Sany Heavy's standard deviation. In reality, there are many statistical measures that can use Sany Heavy historical prices to predict the future Sany Heavy's volatility.| Risk Adjusted Performance | 0.132 | |||
| Jensen Alpha | 0.6829 | |||
| Total Risk Alpha | (0.03) | |||
| Sortino Ratio | 0.1742 | |||
| Treynor Ratio | (1.04) |
Sany Heavy Energy Backtested Returns
Sany Heavy appears to be not too volatile, given 3 months investment horizon. Sany Heavy Energy owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.16, which indicates the firm had a 0.16% return per unit of risk over the last 3 months. By inspecting Sany Heavy's technical indicators, you can evaluate if the expected return of 0.62% is justified by implied risk. Please review Sany Heavy's Semi Deviation of 2.36, coefficient of variation of 616.43, and Risk Adjusted Performance of 0.132 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Sany Heavy holds a performance score of 12. The entity has a beta of -0.58, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning Sany Heavy are expected to decrease at a much lower rate. During the bear market, Sany Heavy is likely to outperform the market. Please check Sany Heavy's standard deviation, total risk alpha, and the relationship between the coefficient of variation and jensen alpha , to make a quick decision on whether Sany Heavy's existing price patterns will revert.
Auto-correlation | -0.11 |
Insignificant reverse predictability
Sany Heavy Energy has insignificant reverse predictability. Overlapping area represents the amount of predictability between Sany Heavy time series from 9th of June 2023 to 5th of March 2024 and 5th of March 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 Sany Heavy Energy price movement. The serial correlation of -0.11 indicates that less than 11.0% of current Sany Heavy price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.11 | |
| Spearman Rank Test | 0.11 | |
| Residual Average | 0.0 | |
| Price Variance | 5.39 |
Sany Heavy Energy lagged returns against current returns
Autocorrelation, which is Sany Heavy 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 Sany Heavy's stock expected returns. We can calculate the autocorrelation of Sany Heavy returns to help us make a trade decision. For example, suppose you find that Sany Heavy 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 |
Sany Heavy 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 Sany Heavy stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Sany Heavy stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Sany Heavy stock over time.
Current vs Lagged Prices |
| Timeline |
Sany Heavy Lagged Returns
When evaluating Sany Heavy's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Sany Heavy stock have on its future price. Sany Heavy 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, Sany Heavy autocorrelation shows the relationship between Sany Heavy stock current value and its past values and can show if there is a momentum factor associated with investing in Sany Heavy Energy.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in Sany Stock
Sany Heavy financial ratios help investors to determine whether Sany 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 Sany with respect to the benefits of owning Sany Heavy security.