Road Environment (China) Market Value
| 688156 Stock | 13.87 0.15 1.09% |
| Symbol | Road |
Road Environment '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 Road Environment'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 Road Environment.
| 11/12/2024 |
| 12/12/2024 |
If you would invest 0.00 in Road Environment on November 12, 2024 and sell it all today you would earn a total of 0.00 from holding Road Environment Technology or generate 0.0% return on investment in Road Environment over 30 days. Road Environment is related to or competes with Biwin Storage, PetroChina, Industrial, China Construction, China Petroleum, Agricultural Bank, and Bank of China. Road Environment is entity of China. It is traded as Stock on SHG exchange. More
Road Environment 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 Road Environment'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 Road Environment Technology upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 3.44 | |||
| Information Ratio | 0.1065 | |||
| Maximum Drawdown | 26.38 | |||
| Value At Risk | (3.91) | |||
| Potential Upside | 4.76 |
Road Environment Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Road Environment's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Road Environment's standard deviation. In reality, there are many statistical measures that can use Road Environment historical prices to predict the future Road Environment's volatility.| Risk Adjusted Performance | 0.1112 | |||
| Jensen Alpha | 0.4542 | |||
| Total Risk Alpha | (0.06) | |||
| Sortino Ratio | 0.1052 | |||
| Treynor Ratio | 2.45 |
Road Environment Tec Backtested Returns
Road Environment appears to be somewhat reliable, given 3 months investment horizon. Road Environment Tec maintains Sharpe Ratio (i.e., Efficiency) of 0.16, which implies the firm had a 0.16% return per unit of risk over the last 3 months. By analyzing Road Environment's technical indicators, you can evaluate if the expected return of 0.57% is justified by implied risk. Please evaluate Road Environment's Risk Adjusted Performance of 0.1112, semi deviation of 2.82, and Coefficient Of Variation of 698.89 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Road Environment holds a performance score of 12. The company holds a Beta of 0.19, which implies not very significant fluctuations relative to the market. As returns on the market increase, Road Environment's returns are expected to increase less than the market. However, during the bear market, the loss of holding Road Environment is expected to be smaller as well. Please check Road Environment's mean deviation, downside deviation, standard deviation, as well as the relationship between the semi deviation and coefficient of variation , to make a quick decision on whether Road Environment's historical price patterns will revert.
Auto-correlation | -0.71 |
Almost perfect reverse predictability
Road Environment Technology has almost perfect reverse predictability. Overlapping area represents the amount of predictability between Road Environment time series from 12th of November 2024 to 27th of November 2024 and 27th of November 2024 to 12th 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 Road Environment Tec price movement. The serial correlation of -0.71 indicates that around 71.0% of current Road Environment price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.71 | |
| Spearman Rank Test | -0.74 | |
| Residual Average | 0.0 | |
| Price Variance | 0.11 |
Road Environment Tec lagged returns against current returns
Autocorrelation, which is Road Environment 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 Road Environment's stock expected returns. We can calculate the autocorrelation of Road Environment returns to help us make a trade decision. For example, suppose you find that Road Environment 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 |
Road Environment 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 Road Environment stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Road Environment stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Road Environment stock over time.
Current vs Lagged Prices |
| Timeline |
Road Environment Lagged Returns
When evaluating Road Environment's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Road Environment stock have on its future price. Road Environment 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, Road Environment autocorrelation shows the relationship between Road Environment stock current value and its past values and can show if there is a momentum factor associated with investing in Road Environment Technology.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in Road Stock
Road Environment financial ratios help investors to determine whether Road 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 Road with respect to the benefits of owning Road Environment security.