Ping An Stock Forward View - Simple Regression

PASW Stock   0.24  0.01  4.35%   
Ping Stock outlook is based on your current time horizon.
At this time, the value of RSI of Ping An's share price is approaching 37 indicating that the stock is in nutural position, most likellhy at or near its support level. The main point of RSI analysis is to track how fast people are buying or selling Ping An, making its price go up or down.

Momentum 37

 Sell Extended

 
Oversold
 
Overbought
The successful prediction of Ping An's future price could yield a significant profit. Please, note that this module is not intended to be used solely to calculate an intrinsic value of Ping An and does not consider all of the tangible or intangible factors available from Ping An's fundamental data. We analyze noise-free headlines and recent hype associated with Ping An Biomedical, which may create opportunities for some arbitrage if properly timed.
Using Ping An hype-based prediction, you can estimate the value of Ping An Biomedical from the perspective of Ping An response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Regression forecasted value of Ping An Biomedical on the next trading day is expected to be 0.27 with a mean absolute deviation of 0.08 and the sum of the absolute errors of 5.15.

Ping An after-hype prediction price

    
  USD 0.24  
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 stock price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Check out Historical Fundamental Analysis of Ping An to cross-verify your projections.

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.
Simple Regression model is a single variable regression model that attempts to put a straight line through Ping An price points. This line is defined by its gradient or slope, and the point at which it intercepts the x-axis. Mathematically, assuming the independent variable is X and the dependent variable is Y, then this line can be represented as: Y = intercept + slope * X.

Ping An Simple Regression Price Forecast For the 30th of January

Given 90 days horizon, the Simple Regression forecasted value of Ping An Biomedical on the next trading day is expected to be 0.27 with a mean absolute deviation of 0.08, mean absolute percentage error of 0.01, and the sum of the absolute errors of 5.15.
Please note that although there have been many attempts to predict Ping Stock prices using its time series forecasting, we generally do not recommend using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Ping An's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Ping An Stock Forecast Pattern

Backtest Ping An  Ping An Price Prediction  Buy or Sell Advice  

Ping An Forecasted Value

In the context of forecasting Ping An's Stock value on the next trading day, we examine the predictive performance of the model to find good statistically significant boundaries of downside and upside scenarios. Ping An's downside and upside margins for the forecasting period are 0 and 13.16, respectively. We have considered Ping An's daily market price to evaluate the above model's predictive performance. Remember, however, there is no scientific proof or empirical evidence that traditional linear or nonlinear forecasting models outperform artificial intelligence and frequency domain models to provide accurate forecasts consistently.
Market Value
0.24
0.27
Expected Value
13.16
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Simple Regression forecasting method's relative quality and the estimations of the prediction error of Ping An stock data series using in forecasting. Note that when a statistical model is used to represent Ping An stock, the representation will rarely be exact; so some information will be lost using the model to explain the process. AIC estimates the relative amount of information lost by a given model: the less information a model loses, the higher its quality.
AICAkaike Information Criteria113.5307
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0845
MAPEMean absolute percentage error0.2266
SAESum of the absolute errors5.1545
In general, regression methods applied to historical equity returns or prices series is an area of active research. In recent decades, new methods have been developed for robust regression of price series such as Ping An Biomedical historical returns. These new methods are regression involving correlated responses such as growth curves and different regression methods accommodating various types of missing data.

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 Biomedical. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock 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.
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.
Hype
Prediction
LowEstimatedHigh
0.010.2413.13
Details
Intrinsic
Valuation
LowRealHigh
0.010.2313.12
Details

Ping An After-Hype Price 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 Stock 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 stock 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 0.01 and 13.13, 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
0.24
0.24
After-hype Price
13.13
Upside
Ping An is out of control at this time. Analysis and calculation of next after-hype price of Ping An Biomedical is based on 3 months time horizon.

Ping An Stock Price Outlook 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 Stock 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 ReturnPeriod VolatilityHype ElasticityRelated ElasticityNews DensityRelated DensityExpected Hype
  0.71 
12.89
 0.00  
 0.00  
0 Events / Month
0 Events / Month
Within a week
Latest traded priceExpected after-news pricePotential return on next major newsAverage after-hype volatility
0.24
0.24
0.00 
0.00  
Notes

Ping An Hype Timeline

Ping An Biomedical is at this time traded for 0.24. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. Ping is projected 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 projected to be very small, whereas the daily expected return is at this time at -0.71%. %. The volatility of related hype on Ping An is about 0.0%, with the expected price after the next announcement by competition of 0.24. The company had not issued any dividends in recent years. Given the investment horizon of 90 days the next projected press release will be within a week.
Check out Historical Fundamental Analysis of Ping An 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.

Other Forecasting Options for Ping An

For every potential investor in Ping, whether a beginner or expert, Ping An's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Ping Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Ping. Basic forecasting techniques help filter out the noise by identifying Ping An's price trends.

Ping An Related Equities

One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with Ping An stock to make a market-neutral strategy. Peer analysis of Ping An could also be used in its relative valuation, which is a method of valuing Ping An by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

Ping An Market Strength Events

Market strength indicators help investors to evaluate how Ping An stock 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 stock market strength indicators, traders can identify Ping An Biomedical entry and exit signals to maximize returns.

Ping An Risk Indicators

The analysis of Ping An's basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in Ping An's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting ping stock prices, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.

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

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 Biomedical 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 Outstanding20.5 M
Cash And Short Term Investments130.9 K

Additional Tools for Ping Stock 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.