China Oil And Stock Market Value
CLSZF Stock | USD 0.02 0.00 0.00% |
Symbol | China |
China Oil '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 China Oil's pink sheet 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 China Oil.
06/04/2024 |
| 12/01/2024 |
If you would invest 0.00 in China Oil on June 4, 2024 and sell it all today you would earn a total of 0.00 from holding China Oil And or generate 0.0% return on investment in China Oil over 180 days. China Oil is related to or competes with CVR Energy, Valero Energy, Phillips, Marathon Petroleum, and Sunoco LP. China Oil And Gas Group Limited, an investment holding company, primarily invests in natural gas and energy related busi... More
China Oil 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 China Oil's pink sheet 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 China Oil And upside and downside potential and time the market with a certain degree of confidence.
Information Ratio | (0.14) | |||
Maximum Drawdown | 66.67 |
China Oil Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for China Oil's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as China Oil's standard deviation. In reality, there are many statistical measures that can use China Oil historical prices to predict the future China Oil's volatility.Risk Adjusted Performance | (0.09) | |||
Jensen Alpha | (0.93) | |||
Total Risk Alpha | (2.39) | |||
Treynor Ratio | 1.4 |
China Oil And Backtested Returns
We have found sixteen technical indicators for China Oil And, which you can use to evaluate the volatility of the firm. Please confirm China Oil's Risk Adjusted Performance of (0.09), standard deviation of 8.21, and Mean Deviation of 1.99 to double-check if the risk estimate we provide is consistent with the expected return of 0.0%. The firm shows a Beta (market volatility) of -0.73, which signifies possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning China Oil are expected to decrease at a much lower rate. During the bear market, China Oil is likely to outperform the market. China Oil And right now shows a risk of 0.0%. Please confirm China Oil And coefficient of variation, maximum drawdown, as well as the relationship between the Maximum Drawdown and day typical price , to decide if China Oil And will be following its price patterns.
Auto-correlation | 0.00 |
No correlation between past and present
China Oil And has no correlation between past and present. Overlapping area represents the amount of predictability between China Oil time series from 4th of June 2024 to 2nd of September 2024 and 2nd of September 2024 to 1st 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 China Oil And price movement. The serial correlation of 0.0 indicates that just 0.0% of current China Oil price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.0 | |
Spearman Rank Test | 0.98 | |
Residual Average | 0.0 | |
Price Variance | 0.0 |
China Oil And lagged returns against current returns
Autocorrelation, which is China Oil pink sheet'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 China Oil's pink sheet expected returns. We can calculate the autocorrelation of China Oil returns to help us make a trade decision. For example, suppose you find that China Oil has exhibited high autocorrelation historically, and you observe that the pink sheet 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 |
China Oil 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 China Oil pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if China Oil pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in China Oil pink sheet over time.
Current vs Lagged Prices |
Timeline |
China Oil Lagged Returns
When evaluating China Oil's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of China Oil pink sheet have on its future price. China Oil 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, China Oil autocorrelation shows the relationship between China Oil pink sheet current value and its past values and can show if there is a momentum factor associated with investing in China Oil And.
Regressed Prices |
Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in China Pink Sheet
China Oil financial ratios help investors to determine whether China Pink Sheet 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 China with respect to the benefits of owning China Oil security.