China Petroleum Chemical Stock Market Value
| SNPMF Stock | USD 0.59 0.01 1.72% |
| Symbol | China |
China Petroleum '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 Petroleum'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 Petroleum.
| 03/25/2024 |
| 04/24/2024 |
If you would invest 0.00 in China Petroleum on March 25, 2024 and sell it all today you would earn a total of 0.00 from holding China Petroleum Chemical or generate 0.0% return on investment in China Petroleum over 30 days. China Petroleum is related to or competes with Shell PLC, Equinor ASA, BP PLC, Eni SPA, MOL PLC, OMV AG, and Eni SpA. China Petroleum Chemical Corporation, an energy and chemical company, engages in the oil and gas and chemical operations... More
China Petroleum 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 Petroleum'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 Petroleum Chemical upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 4.0 | |||
| Information Ratio | 0.1072 | |||
| Maximum Drawdown | 12.79 | |||
| Value At Risk | (5.00) | |||
| Potential Upside | 4.17 |
China Petroleum Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for China Petroleum's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as China Petroleum's standard deviation. In reality, there are many statistical measures that can use China Petroleum historical prices to predict the future China Petroleum's volatility.| Risk Adjusted Performance | 0.0963 | |||
| Jensen Alpha | 0.3875 | |||
| Total Risk Alpha | 0.0041 | |||
| Sortino Ratio | 0.0735 | |||
| Treynor Ratio | (3.79) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of China Petroleum'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.
China Petroleum Chemical Backtested Returns
China Petroleum appears to be abnormally volatile, given 3 months investment horizon. China Petroleum Chemical secures Sharpe Ratio (or Efficiency) of 0.0996, which signifies that the company had a 0.0996% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for China Petroleum Chemical, which you can use to evaluate the volatility of the firm. Please makes use of China Petroleum's Risk Adjusted Performance of 0.0963, downside deviation of 4.0, and Mean Deviation of 2.01 to double-check if our risk estimates are consistent with your expectations. On a scale of 0 to 100, China Petroleum holds a performance score of 7. The firm shows a Beta (market volatility) of -0.1, which signifies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning China Petroleum are expected to decrease at a much lower rate. During the bear market, China Petroleum is likely to outperform the market. Please check China Petroleum's sortino ratio, skewness, period momentum indicator, as well as the relationship between the potential upside and rate of daily change , to make a quick decision on whether China Petroleum's price patterns will revert.
Auto-correlation | 0.46 |
Average predictability
China Petroleum Chemical has average predictability. Overlapping area represents the amount of predictability between China Petroleum time series from 25th of March 2024 to 9th of April 2024 and 9th of April 2024 to 24th of April 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 Petroleum Chemical price movement. The serial correlation of 0.46 indicates that about 46.0% of current China Petroleum price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.46 | |
| Spearman Rank Test | 0.61 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
China Petroleum Chemical lagged returns against current returns
Autocorrelation, which is China Petroleum 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 Petroleum's pink sheet expected returns. We can calculate the autocorrelation of China Petroleum returns to help us make a trade decision. For example, suppose you find that China Petroleum 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 Petroleum 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 Petroleum pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if China Petroleum 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 Petroleum pink sheet over time.
Current vs Lagged Prices |
| Timeline |
China Petroleum Lagged Returns
When evaluating China Petroleum's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of China Petroleum pink sheet have on its future price. China Petroleum 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 Petroleum autocorrelation shows the relationship between China Petroleum pink sheet current value and its past values and can show if there is a momentum factor associated with investing in China Petroleum Chemical.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Check out China Petroleum Correlation, China Petroleum Volatility and China Petroleum Alpha and Beta module to complement your research on China Petroleum. You can also try the Cryptocurrency Center module to build and monitor diversified portfolio of extremely risky digital assets and cryptocurrency.
Complementary Tools for China Pink Sheet analysis
When running China Petroleum's price analysis, check to measure China Petroleum'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 China Petroleum is operating at the current time. Most of China Petroleum's value examination focuses on studying past and present price action to predict the probability of China Petroleum's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move China Petroleum's price. Additionally, you may evaluate how the addition of China Petroleum to your portfolios can decrease your overall portfolio volatility.
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China Petroleum technical pink sheet 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, pink sheet market cycles, or different charting patterns.