Chongqing Changan (China) Market Value
| 200625 Stock | 3.66 0.07 1.95% |
| Symbol | Chongqing |
Chongqing Changan '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 Chongqing Changan'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 Chongqing Changan.
| 02/25/2024 |
| 05/25/2024 |
If you would invest 0.00 in Chongqing Changan on February 25, 2024 and sell it all today you would earn a total of 0.00 from holding Chongqing Changan Automobile or generate 0.0% return on investment in Chongqing Changan over 90 days. Chongqing Changan is related to or competes with Guangdong Qunxing, Beijing Mainstreets, Sichuan Jinshi, and Yuanjie Semiconductor. Chongqing Changan is entity of China. It is traded as Stock on SHE exchange. More
Chongqing Changan 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 Chongqing Changan'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 Chongqing Changan Automobile upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.04) | |||
| Maximum Drawdown | 11.71 | |||
| Value At Risk | (1.87) | |||
| Potential Upside | 1.9 |
Chongqing Changan Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Chongqing Changan's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Chongqing Changan's standard deviation. In reality, there are many statistical measures that can use Chongqing Changan historical prices to predict the future Chongqing Changan's volatility.| Risk Adjusted Performance | (0.0002) | |||
| Jensen Alpha | (0.02) | |||
| Total Risk Alpha | (0.13) | |||
| Treynor Ratio | 0.1542 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Chongqing Changan's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Chongqing Changan Backtested Returns
Chongqing Changan secures Sharpe Ratio (or Efficiency) of -0.022, which signifies that the company had a -0.022% return per unit of risk over the last 3 months. Chongqing Changan Automobile exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Chongqing Changan's Risk Adjusted Performance of (0.0002), mean deviation of 0.9313, and Standard Deviation of 1.57 to double-check the risk estimate we provide. The firm shows a Beta (market volatility) of -0.18, which signifies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Chongqing Changan are expected to decrease at a much lower rate. During the bear market, Chongqing Changan is likely to outperform the market. Chongqing Changan has an expected return of -0.0358%. Please make sure to confirm Chongqing Changan standard deviation, total risk alpha, maximum drawdown, as well as the relationship between the jensen alpha and treynor ratio , to decide if Chongqing Changan performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.53 |
Good reverse predictability
Chongqing Changan Automobile has good reverse predictability. Overlapping area represents the amount of predictability between Chongqing Changan time series from 25th of February 2024 to 10th of April 2024 and 10th of April 2024 to 25th of May 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 Chongqing Changan price movement. The serial correlation of -0.53 indicates that about 53.0% of current Chongqing Changan price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.53 | |
| Spearman Rank Test | -0.38 | |
| Residual Average | 0.0 | |
| Price Variance | 0.02 |
Chongqing Changan lagged returns against current returns
Autocorrelation, which is Chongqing Changan 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 Chongqing Changan's stock expected returns. We can calculate the autocorrelation of Chongqing Changan returns to help us make a trade decision. For example, suppose you find that Chongqing Changan 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 |
Chongqing Changan 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 Chongqing Changan stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Chongqing Changan stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Chongqing Changan stock over time.
Current vs Lagged Prices |
| Timeline |
Chongqing Changan Lagged Returns
When evaluating Chongqing Changan's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Chongqing Changan stock have on its future price. Chongqing Changan 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, Chongqing Changan autocorrelation shows the relationship between Chongqing Changan stock current value and its past values and can show if there is a momentum factor associated with investing in Chongqing Changan Automobile.
Regressed Prices |
| Timeline |
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Check out Chongqing Changan Correlation, Chongqing Changan Volatility and Chongqing Changan Alpha and Beta module to complement your research on Chongqing Changan. Note that the Chongqing Changan information on this page should be used as a complementary analysis to other Chongqing Changan's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Fundamental Analysis module to view fundamental data based on most recent published financial statements.
Complementary Tools for Chongqing Stock analysis
When running Chongqing Changan's price analysis, check to measure Chongqing Changan's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Chongqing Changan is operating at the current time. Most of Chongqing Changan's value examination focuses on studying past and present price action to predict the probability of Chongqing Changan's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Chongqing Changan's price. Additionally, you may evaluate how the addition of Chongqing Changan to your portfolios can decrease your overall portfolio volatility.
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Chongqing Changan technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.