Ping An (China) Market Value
| 601318 Stock | 53.03 2.46 4.43% |
| Symbol | Ping |
Ping An '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 Ping An'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 Ping An.
| 10/23/2024 |
| 11/22/2024 |
If you would invest 0.00 in Ping An on October 23, 2024 and sell it all today you would earn a total of 0.00 from holding Ping An Insurance or generate 0.0% return on investment in Ping An over 30 days. Ping An is related to or competes with Beijing Wandong, Hainan Mining, Guangzhou Haozhi, Allmed Medical, Zhende Medical, Winner Medical, and Ningbo MedicalSystem. Ping An is entity of China. It is traded as Stock on SHG exchange. More
Ping An 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 Ping An'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 Ping An Insurance upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.18 | |||
| Information Ratio | 0.1426 | |||
| Maximum Drawdown | 19.77 | |||
| Value At Risk | (2.52) | |||
| Potential Upside | 5.83 |
Ping An Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Ping An's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Ping An's standard deviation. In reality, there are many statistical measures that can use Ping An historical prices to predict the future Ping An's volatility.| Risk Adjusted Performance | 0.1461 | |||
| Jensen Alpha | 0.5837 | |||
| Total Risk Alpha | 0.1332 | |||
| Sortino Ratio | 0.1815 | |||
| Treynor Ratio | (0.56) |
Ping An Insurance Backtested Returns
Ping An appears to be very steady, given 3 months investment horizon. Ping An Insurance maintains Sharpe Ratio (i.e., Efficiency) of 0.13, which implies the firm had a 0.13% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Ping An Insurance, which you can use to evaluate the volatility of the company. Please evaluate Ping An's Coefficient Of Variation of 549.46, risk adjusted performance of 0.1461, and Semi Deviation of 1.69 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Ping An holds a performance score of 10. The company holds a Beta of -0.89, which implies possible diversification benefits within a given portfolio. As the market becomes more bullish, returns on owning Ping An are expected to decrease slowly. On the other hand, during market turmoil, Ping An is expected to outperform it slightly. Please check Ping An's information ratio, total risk alpha, and the relationship between the coefficient of variation and jensen alpha , to make a quick decision on whether Ping An's historical price patterns will revert.
Auto-correlation | -0.19 |
Insignificant reverse predictability
Ping An Insurance has insignificant reverse predictability. Overlapping area represents the amount of predictability between Ping An time series from 23rd of October 2024 to 7th of November 2024 and 7th of November 2024 to 22nd of November 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 Ping An Insurance price movement. The serial correlation of -0.19 indicates that over 19.0% of current Ping An price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.19 | |
| Spearman Rank Test | 0.06 | |
| Residual Average | 0.0 | |
| Price Variance | 3.8 |
Ping An Insurance lagged returns against current returns
Autocorrelation, which is Ping An 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 Ping An's stock expected returns. We can calculate the autocorrelation of Ping An returns to help us make a trade decision. For example, suppose you find that Ping An 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 |
Ping An 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 Ping An stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Ping An stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Ping An stock over time.
Current vs Lagged Prices |
| Timeline |
Ping An Lagged Returns
When evaluating Ping An's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Ping An stock have on its future price. Ping An 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, Ping An autocorrelation shows the relationship between Ping An stock current value and its past values and can show if there is a momentum factor associated with investing in Ping An Insurance.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in Ping Stock
Ping An financial ratios help investors to determine whether Ping 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 Ping with respect to the benefits of owning Ping An security.