Ping An Insurance Stock Odds of Future Pink Sheet Price Finishing Over 12.57

PNGAY Stock  USD 12.30  0.67  5.17%   
Ping An's future price is the expected price of Ping An instrument. It is based on its current growth rate as well as the projected cash flow expected by the investors. This tool provides a mechanism to make assumptions about the upside potential and downside risk of Ping An Insurance performance during a given time horizon utilizing its historical volatility. Check out Ping An Backtesting, Ping An Valuation, Ping An Correlation, Ping An Hype Analysis, Ping An Volatility, Ping An History as well as Ping An Performance.
  
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Ping An Target Price Odds to finish over 12.57

The tendency of Ping Pink Sheet price to converge on an average value over time is a known aspect in finance that investors have used since the beginning of the stock market for forecasting. However, many studies suggest that some traded equity instruments are consistently mispriced before traders' demand and supply correct the spread. One possible conclusion to this anomaly is that these stocks have additional risk, for which investors demand compensation in the form of extra returns.
Current PriceHorizonTarget PriceOdds to move over $ 12.57  or more in 90 days
 12.30 90 days 12.57 
about 31.81
Based on a normal probability distribution, the odds of Ping An to move over $ 12.57  or more in 90 days from now is about 31.81 (This Ping An Insurance probability density function shows the probability of Ping Pink Sheet to fall within a particular range of prices over 90 days) . Probability of Ping An Insurance price to stay between its current price of $ 12.30  and $ 12.57  at the end of the 90-day period is about 6.76 .
Assuming the 90 days horizon Ping An Insurance has a beta of -0.81 indicating as returns on the benchmark increase, returns on holding Ping An are expected to decrease at a much lower rate. During a bear market, however, Ping An Insurance is likely to outperform the market. Additionally Ping An Insurance has an alpha of 0.6689, implying that it can generate a 0.67 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta).
   Ping An Price Density   
       Price  

Predictive Modules for Ping An

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Ping An Insurance. Regardless of method or technology, however, to accurately forecast the pink sheet market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the pink sheet market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.
Hype
Prediction
LowEstimatedHigh
7.6512.3016.95
Details
Intrinsic
Valuation
LowRealHigh
5.7210.3715.02
Details
Naive
Forecast
LowNextHigh
8.0212.6717.32
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
10.9711.7812.59
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Ping An. Your research has to be compared to or analyzed against Ping An's peers to derive any actionable benefits. When done correctly, Ping An's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Ping An Insurance.

Ping An Risk Indicators

For the most part, the last 10-20 years have been a very volatile time for the stock market. Ping An is not an exception. The market had few large corrections towards the Ping An's value, including both sudden drops in prices as well as massive rallies. These swings have made and broken many portfolios. An investor can limit the violent swings in their portfolio by implementing a hedging strategy designed to limit downside losses. If you hold Ping An Insurance, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Ping An within the framework of very fundamental risk indicators.
α
Alpha over Dow Jones
0.67
β
Beta against Dow Jones-0.81
σ
Overall volatility
1.48
Ir
Information ratio 0.10

Ping An Alerts and Suggestions

In today's market, stock alerts give investors the competitive edge they need to time the market and increase returns. Checking the ongoing alerts of Ping An for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Ping An Insurance can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.
Ping An Insurance appears to be risky and price may revert if volatility continues

Ping An Price Density Drivers

Market volatility will typically increase when nervous long traders begin to feel the short-sellers pressure to drive the market lower. The future price of Ping Pink Sheet often depends not only on the future outlook of the current and 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 Outstanding8.9 B
Cash And Short Term Investments630.5 B

Ping An Technical Analysis

Ping An's future price can be derived by breaking down and analyzing its technical indicators over time. Ping Pink Sheet technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Ping An Insurance. In general, you should focus on analyzing Ping Pink Sheet price patterns and their correlations with different microeconomic environments and drivers.

Ping An Predictive Forecast Models

Ping An's time-series forecasting models is one of many Ping An's pink sheet analysis techniques aimed to predict future share value based on previously observed values. Time-series forecasting models are widely used for non-stationary data. Non-stationary data are called the data whose statistical properties, e.g., the mean and standard deviation, are not constant over time, but instead, these metrics vary over time. This non-stationary Ping An's historical data is usually called time series. Some empirical experimentation suggests that the statistical forecasting models outperform the models based exclusively on fundamental analysis to predict the direction of the pink sheet market movement and maximize returns from investment trading.

Things to note about Ping An Insurance

Checking the ongoing alerts about Ping An for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Ping An Insurance help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
Ping An Insurance appears to be risky and price may revert if volatility continues

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.