Ping An Insurance Stock Market Value
| PIAIF Stock | USD 5.11 0.44 9.42% |
| 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 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 Ping An.
| 04/06/2024 |
| 05/06/2024 |
If you would invest 0.00 in Ping An on April 6, 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 Fubon Financial, MetLife, and Aflac Incorporated. Ping An Insurance Company of China, Ltd. provides financial products and services for insurance, banking, asset manageme... 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 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 Ping An Insurance upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 3.5 | |||
| Information Ratio | 0.0704 | |||
| Maximum Drawdown | 16.88 | |||
| Value At Risk | (4.17) | |||
| Potential Upside | 7.84 |
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 | 0.0676 | |||
| Jensen Alpha | 0.2979 | |||
| Total Risk Alpha | (0.06) | |||
| Sortino Ratio | 0.0675 | |||
| Treynor Ratio | 2.78 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Ping An'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.
Ping An Insurance Backtested Returns
Ping An appears to be moderately volatile, given 3 months investment horizon. Ping An Insurance maintains Sharpe Ratio (i.e., Efficiency) of 0.0869, which implies the firm had a 0.0869% return per unit of risk over the last 3 months. We have found thirty technical indicators for Ping An Insurance, which you can use to evaluate the volatility of the company. Please evaluate Ping An's Risk Adjusted Performance of 0.0676, semi deviation of 1.85, and Coefficient Of Variation of 1062.22 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 6. The company holds a Beta of 0.11, which implies not very significant fluctuations relative to the market. As returns on the market increase, Ping An's returns are expected to increase less than the market. However, during the bear market, the loss of holding Ping An is expected to be smaller as well. Please check Ping An's sortino ratio, semi variance, rate of daily change, as well as the relationship between the value at risk and kurtosis , to make a quick decision on whether Ping An's historical price patterns will revert.
Auto-correlation | -0.58 |
Good reverse predictability
Ping An Insurance has good reverse predictability. Overlapping area represents the amount of predictability between Ping An time series from 6th of April 2024 to 21st of April 2024 and 21st of April 2024 to 6th 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 Ping An Insurance price movement. The serial correlation of -0.58 indicates that roughly 58.0% of current Ping An price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.58 | |
| Spearman Rank Test | -0.53 | |
| Residual Average | 0.0 | |
| Price Variance | 0.15 |
Ping An Insurance lagged returns against current returns
Autocorrelation, which is Ping An 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 Ping An's pink sheet 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 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 |
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 pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Ping An pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Ping An pink sheet 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 pink sheet 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 pink sheet 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 |
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Align your risk with return expectations
Check out Ping An Correlation, Ping An Volatility and Ping An Alpha and Beta module to complement your research on Ping An. You can also try the Technical Analysis module to check basic technical indicators and analysis based on most latest market data.
Complementary Tools for Ping Pink Sheet analysis
When running Ping An's price analysis, check to measure Ping An'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 Ping An is operating at the current time. Most of Ping An's value examination focuses on studying past and present price action to predict the probability of Ping An's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Ping An's price. Additionally, you may evaluate how the addition of Ping An to your portfolios can decrease your overall portfolio volatility.
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Ping An 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.