Ping An Insurance Stock Price Prediction
| PIAIF Stock | USD 5.75 0.00 0.00% |
Oversold Vs Overbought
41
Oversold | Overbought |
Using Ping An hype-based prediction, you can estimate the value of Ping An Insurance from the perspective of Ping An response to recently generated media hype and the effects of current headlines on its competitors.
The fear of missing out, i.e., FOMO, can cause potential investors in Ping An to buy its pink sheet at a price that has no basis in reality. In that case, they are not buying Ping because the equity is a good investment, but because they need to do something to avoid the feeling of missing out. On the other hand, investors will often sell pink sheets at prices well below their value during bear markets because they need to stop feeling the pain of losing money.
Ping An after-hype prediction price | USD 5.75 |
There is no one specific way to measure market sentiment using hype analysis or a similar predictive technique. This prediction method should be used in combination with more fundamental and traditional techniques such as pink sheet price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Ping |
Ping An After-Hype Price Prediction Density Analysis
As far as predicting the price of Ping An at your current risk attitude, this probability distribution graph shows the chance that the prediction will fall between or within a specific range. We use this chart to confirm that your returns on investing in Ping An or, for that matter, your successful expectations of its future price, cannot be replicated consistently. Please note, a large amount of money has been lost over the years by many investors who confused the symmetrical distributions of Pink Sheet prices, such as prices of Ping An, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Ping An Estimiated After-Hype Price Volatility
In the context of predicting Ping An's pink sheet value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Ping An's historical news coverage. Ping An's after-hype downside and upside margins for the prediction period are 0.44 and 11.06, respectively. We have considered Ping An's daily market price in relation to the headlines to evaluate this method's predictive performance. Remember, however, there is no scientific proof or empirical evidence that news-based prediction models outperform traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
Ping An is unstable at this time. Analysis and calculation of next after-hype price of Ping An Insurance is based on 3 months time horizon.
Ping An Pink Sheet Price Prediction Analysis
Have you ever been surprised when a price of a Company such as Ping An is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Ping An backward and forwards among themselves. Have you ever observed a lot of a particular company's price movement is driven by press releases or news about the company that has nothing to do with actual earnings? Usually, hype to individual companies acts as price momentum. If not enough favorable publicity is forthcoming, the Pink Sheet price eventually runs out of speed. So, the rule of thumb here is that as long as this news hype has nothing to do with immediate earnings, you should pay more attention to it. If you see this tendency with Ping An, there might be something going there, and it might present an excellent short sale opportunity.
| Expected Return | Period Volatility | Hype Elasticity | Related Elasticity | News Density | Related Density | Expected Hype |
0.58 | 5.31 | 0.00 | 0.51 | 0 Events / Month | 3 Events / Month | Within a week |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
5.75 | 5.75 | 0.00 |
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Ping An Hype Timeline
Ping An Insurance is at this time traded for 5.75. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.51. Ping is forecasted not to react to the next headline, with the price staying at about the same level, and average media hype impact volatility is insignificant. The immediate return on the next news is forecasted to be very small, whereas the daily expected return is at this time at 0.58%. %. The volatility of related hype on Ping An is about 599.52%, with the expected price after the next announcement by competition of 6.26. About 16.0% of the company outstanding shares are owned by corporate insiders. The company has price-to-book ratio of 1.02. Typically companies with comparable Price to Book (P/B) are able to outperform the market in the long run. Ping An Insurance has Price/Earnings To Growth (PEG) ratio of 0.44. The entity last dividend was issued on the 21st of September 2022. The firm had 2:1 split on the 27th of July 2015. Assuming the 90 days horizon the next forecasted press release will be within a week. Check out Ping An Basic Forecasting Models to cross-verify your projections.Ping An Related Hype Analysis
Having access to credible news sources related to Ping An's direct competition is more important than ever and may enhance your ability to predict Ping An's future price movements. Getting to know how Ping An's peers react to changing market sentiment, related social signals, and mainstream news is a great way to find investing opportunities and time the market. The summary table below summarizes the essential lagging indicators that can help you analyze how Ping An may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| CILJF | China Life Insurance | 0.00 | 0 per month | 4.23 | 0.09 | 8.72 | (6.19) | 37.36 | |
| SLLDY | Sanlam Ltd PK | 0.00 | 0 per month | 1.85 | (0.07) | 2.63 | (2.58) | 8.94 | |
| LNC | Lincoln National | 0.14 | 7 per month | 1.81 | 0.03 | 3.45 | (3.07) | 16.67 | |
| FG | FG Annuities Life | 4.11 | 8 per month | 2.19 | 0.02 | 3.72 | (3.81) | 21.12 | |
| JXN-PA | Jackson Financial | 0.00 | 0 per month | 0.41 | (0.12) | 1.03 | (0.81) | 2.56 | |
| BHF | Brighthouse Financial | 1.81 | 8 per month | 1.60 | 0.04 | 2.89 | (2.85) | 15.28 | |
| PUK | Prudential Public Limited | 0.14 | 11 per month | 0.00 | (0.09) | 2.76 | (3.79) | 13.38 |
Ping An Additional Predictive Modules
Most predictive techniques to examine Ping price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Ping using various technical indicators. When you analyze Ping charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
About Ping An Predictive Indicators
The successful prediction of Ping An stock price could yield a significant profit to investors. But is it possible? The efficient-market hypothesis suggests that all published stock prices of traded companies, such as Ping An Insurance, already reflect all publicly available information. This academic statement is a fundamental principle of many financial and investing theories used today. However, the typical investor usually disagrees with a 'textbook' version of this hypothesis and continually tries to find mispriced stocks to increase returns. We use internally-developed statistical techniques to arrive at the intrinsic value of Ping An based on analysis of Ping An hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to Ping An's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to Ping An's related companies.
Story Coverage note for Ping An
The number of cover stories for Ping An depends on current market conditions and Ping An's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Ping An is classified under. However, while its typical story may have numerous social followers, the rapid visibility can also attract short-sellers, who usually are skeptical about Ping An's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
Other Macroaxis Stories
Our audience includes start-ups and big corporations as well as marketing, public relation firms, and advertising agencies, including technology and finance journalists. Our platform and its news and story outlet are popular among finance students, amateur traders, self-guided investors, entrepreneurs, retirees and baby boomers, academic researchers, financial advisers, as well as professional money managers - a very diverse and influential demographic landscape united by one goal - build optimal investment portfolios
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Ping An Short Properties
Ping An's future price predictability will typically decrease when Ping An's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Ping An Insurance often depends not only on the future outlook of the potential Ping An's investors but also on the ongoing dynamics between investors with different trading styles. Because the market risk indicators may have small false signals, it is better to identify suitable times to hedge a portfolio using different long/short signals. Ping An's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 18.3 B |
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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