Ping An Insurance Stock Price on September 25, 2024
| PNGAY Stock | USD 12.96 1.10 9.27% |
If you're considering investing in Ping Pink Sheet, it is important to understand the factors that can impact its price. As of today, the current price of Ping An stands at 12.96, as last reported on the 11th of December 2024, with the highest price reaching 13.23 and the lowest price hitting 12.86 during the day. Ping An appears to be slightly risky, given 3 months investment horizon. Ping An Insurance maintains Sharpe Ratio (i.e., Efficiency) of 0.15, which implies the firm had a 0.15% return per unit of risk over the last 3 months. By analyzing Ping An's technical indicators, you can evaluate if the expected return of 0.7% is justified by implied risk. Please evaluate Ping An's Semi Deviation of 3.5, coefficient of variation of 692.83, and Risk Adjusted Performance of 0.1127 to confirm if our risk estimates are consistent with your expectations.
Ping Pink Sheet price history is provided at the adjusted basis, taking into account all of the recent filings.
Ping |
Sharpe Ratio = 0.1506
| Best Portfolio | Best Equity | |||
| Good Returns | ||||
| Average Returns | ||||
| Small Returns | PNGAY | |||
| Cash | Small Risk | Average Risk | High Risk | Huge Risk |
| Negative Returns |
Estimated Market Risk
| 4.65 actual daily | 41 59% of assets are more volatile |
Expected Return
| 0.7 actual daily | 13 87% of assets have higher returns |
Risk-Adjusted Return
| 0.15 actual daily | 11 89% of assets perform better |
Based on monthly moving average Ping An is performing at about 11% of its full potential. If added to a well diversified portfolio the total return can be enhanced and market risk can be reduced. You can increase risk-adjusted return of Ping An by adding it to a well-diversified portfolio.
Ping An Valuation on September 25, 2024
It is possible to determine the worth of Ping An on a given historical date. On September 25, 2024 Ping was worth 10.68 at the beginning of the trading date compared to the closed value of 10.85. We use multiple weighted factors in our valuation methodologies to arrive at the intrinsic value of Ping An pink sheet. Still, in general, we apply an absolute valuation method to find Ping An's value based on its fundamental and technical indicators available within our service. As compared to an absolute model, our relative valuation model uses a comparative analysis of Ping An where we calculate exposure to its market risk and evaluate relevant financial multiples and ratios against Ping An's related companies.
| Open | High | Low | Close | Volume | |
| 10.27 | 11.02 | 10.26 | 10.94 | 971,900 | |
09/25/2024 | 10.68 | 10.97 | 10.68 | 10.85 | 430,400 |
| 12.02 | 12.34 | 11.86 | 12.11 | 1,034,200 |
| Backtest Ping An | | | Ping An History | | | Ping An Valuation | Previous | Next |
Ping An Trading Date Momentum on September 25, 2024
| On September 26 2024 Ping An Insurance was traded for 12.11 at the closing time. The highest daily price throughout the period was 12.34 and the lowest price was 11.86 . The daily volume was 1 M. The net trading volume on 09/26/2024 added to the next day price jump. The trading delta at closing time to closing price of the next trading day was 11.61% . The trading delta at closing time to current closing price is 41.47% . |
Ping An Insurance Fundamentals Correlations and Trends
By evaluating Ping An's financials over time, investors can gain insight into future company performance. However, you can also analyze the published financial statements to find patterns among Ping An's main balance sheet or income statement drivers and many other relevant indicators that can statistically be found significantly correlated or uncorrelated. Ping financial account trend analysis is a perfect complement when working with valuation or volatility modules.About Ping An Pink Sheet history
Ping An investors dedicate a lot of time and effort to gaining insight into how a market's past behavior relates to its future. Access to timely market data for Ping is vital when making an investment decision, and regardless of whether you use fundamental or technical analysis, your return on investment in Ping An Insurance will depend on recognizing future opportunities and eliminating past mistakes. Historical data analysis is the study of market behavior over a given time. Recorded market-related data such as price, volatility, and volume can be quantified and studied over a defined period. Through a detailed examination of a market's past behavior, traders and investors can gain perspective on the inner workings of that market. The information obtained throughout analyzing Ping An stock prices may prove useful in developing a viable investing in Ping An
Ping An Insurance Company of China, Ltd. provides financial products and services for insurance, banking, asset management, and fintech and healthtech businesses in the Peoples Republic of China. Ping An Insurance Company of China, Ltd. was founded in 1988 and is based in Shenzhen, China. Ping An operates under InsuranceLife classification in the United States and is traded on OTC Exchange. It employs 355982 people.
Ping An Pink Sheet Technical Analysis
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.
Price Boundaries
Ping An Period Price Range
Low | December 11, 2024
| High |
0.00 | 0.00 |
Ping An Insurance cannot be verified against its exchange. Please verify the symbol is currently traded on PINK Exchange. If you still believe the symbol you are trying to look up is valid, please let us know, and we will check it as soon as possible.
Ping An December 11, 2024 Market Strength
Market strength indicators help investors to evaluate how Ping An pink sheet reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Ping An shares will generate the highest return on investment. By undertsting and applying Ping An pink sheet market strength indicators, traders can identify Ping An Insurance entry and exit signals to maximize returns
Ping An Technical and Predictive Indicators
Predictive indicators are helping investors to find signals for Ping An's price direction in advance. Along with the technical and fundamental analysis of Ping Pink Sheet historical price patterns, it is also worthwhile for investors to track various predictive indicators of Ping to make sure they correctly time the market and exploit it's hidden potentials. Even though most predictive indicators are useful for the short-term horizon, it's virtually impossible to predict the unforeseen market. For traders with a short-term horizon, predictive indicators add value when properly applied. Long-term investors, however, may find many predictive indicators less useful.
| Risk Adjusted Performance | 0.1127 | |||
| Jensen Alpha | 0.7446 | |||
| Total Risk Alpha | (0.07) | |||
| Sortino Ratio | 0.1288 | |||
| Treynor Ratio | (0.76) |
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Additional 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.