ACM Research (China) Market Value
| 688082 Stock | 106.18 1.23 1.17% |
| Symbol | ACM |
ACM Research '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 ACM Research'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 ACM Research.
| 11/22/2024 |
| 12/22/2024 |
If you would invest 0.00 in ACM Research on November 22, 2024 and sell it all today you would earn a total of 0.00 from holding ACM Research Shanghai or generate 0.0% return on investment in ACM Research over 30 days. ACM Research is related to or competes with Nanjing Putian, Tianjin Realty, Kangyue Technology, Shenzhen Hifuture, Shenzhen Changfang, Jiangsu Xinning, and Hubei Geoway. ACM Research is entity of China. It is traded as Stock on SHG exchange. More
ACM Research 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 ACM Research'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 ACM Research Shanghai upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.74 | |||
| Information Ratio | 0.0995 | |||
| Maximum Drawdown | 26.23 | |||
| Value At Risk | (4.05) | |||
| Potential Upside | 6.4 |
ACM Research Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for ACM Research's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as ACM Research's standard deviation. In reality, there are many statistical measures that can use ACM Research historical prices to predict the future ACM Research's volatility.| Risk Adjusted Performance | 0.0928 | |||
| Jensen Alpha | 0.4483 | |||
| Total Risk Alpha | 0.3328 | |||
| Sortino Ratio | 0.158 | |||
| Treynor Ratio | 1.63 |
ACM Research Shanghai Backtested Returns
ACM Research appears to be very steady, given 3 months investment horizon. ACM Research Shanghai secures Sharpe Ratio (or Efficiency) of 0.14, which signifies that the company had a 0.14% return per unit of return volatility over the last 3 months. By examining ACM Research's technical indicators, you can evaluate if the expected return of 0.61% is justified by implied risk. Please makes use of ACM Research's Mean Deviation of 2.84, downside deviation of 2.74, and Coefficient Of Variation of 935.77 to double-check if our risk estimates are consistent with your expectations. On a scale of 0 to 100, ACM Research holds a performance score of 10. The firm shows a Beta (market volatility) of 0.28, which signifies not very significant fluctuations relative to the market. As returns on the market increase, ACM Research's returns are expected to increase less than the market. However, during the bear market, the loss of holding ACM Research is expected to be smaller as well. Please check ACM Research's downside deviation, standard deviation, total risk alpha, as well as the relationship between the coefficient of variation and jensen alpha , to make a quick decision on whether ACM Research's price patterns will revert.
Auto-correlation | -0.73 |
Almost perfect reverse predictability
ACM Research Shanghai has almost perfect reverse predictability. Overlapping area represents the amount of predictability between ACM Research time series from 22nd of November 2024 to 7th of December 2024 and 7th of December 2024 to 22nd 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 ACM Research Shanghai price movement. The serial correlation of -0.73 indicates that around 73.0% of current ACM Research price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.73 | |
| Spearman Rank Test | -0.78 | |
| Residual Average | 0.0 | |
| Price Variance | 9.02 |
ACM Research Shanghai lagged returns against current returns
Autocorrelation, which is ACM Research 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 ACM Research's stock expected returns. We can calculate the autocorrelation of ACM Research returns to help us make a trade decision. For example, suppose you find that ACM Research 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 |
ACM Research 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 ACM Research stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if ACM Research stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in ACM Research stock over time.
Current vs Lagged Prices |
| Timeline |
ACM Research Lagged Returns
When evaluating ACM Research's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of ACM Research stock have on its future price. ACM Research 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, ACM Research autocorrelation shows the relationship between ACM Research stock current value and its past values and can show if there is a momentum factor associated with investing in ACM Research Shanghai.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in ACM Stock
ACM Research financial ratios help investors to determine whether ACM 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 ACM with respect to the benefits of owning ACM Research security.