Wangneng Environment (China) Price Prediction

Intrinsic Valuation Low Real High 10.35 12.56 16.95 Details

Earnings Estimates (0) Low Projected EPS High 0.43 0.45 0.49 Details

Please note, it is not enough to conduct a financial or market analysis of a single entity such as Wangneng Environment. Your research has to be compared to or analyzed against Wangneng Environment's peers to derive any actionable benefits. When done correctly, Wangneng Environment'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 Wangneng Environment.

Wangneng Environment After-Hype Price Prediction Density Analysis

Wangneng Environment Estimiated After-Hype Price Volatility

Wangneng Environment Stock Price Prediction Analysis

Expected Return	Period Volatility	Hype Elasticity	Related Elasticity	News Density	Related Density	Expected Hype
0.27	2.21	0.01	0.17	1 Events / Month	1 Events / Month	Very soon

Latest traded price	Expected after-news price	Potential return on next major news	Average after-hype volatility
15.66	15.42	0.06	11,050   Notes

Wangneng Environment Hype Timeline

Wangneng Environment is presently traded for 15.66on Shenzhen Stock Exchange of China. The entity has historical hype elasticity of 0.01, and average elasticity to hype of competition of 0.17. Wangneng is estimated to increase in value after the next headline, with the price projected to jump to 15.42 or above. The average volatility of media hype impact on the company the price is over 100%. The price jump on the next news is forecasted to be 0.06%, whereas the daily expected return is presently at 0.27%. The volatility of related hype on Wangneng Environment is about 361.31%, with the expected price after the next announcement by competition of 15.83. The company reported the revenue of 3.18 B. Net Income was 603.13 M with profit before overhead, payroll, taxes, and interest of 1.22 B. Assuming the 90 days trading horizon the next estimated press release will be very soon. Check out Wangneng Environment Basic Forecasting Models to cross-verify your projections.

Wangneng Environment Related Hype Analysis

Wangneng Environment Additional Predictive Modules

Most predictive techniques to examine Wangneng price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Wangneng using various technical indicators. When you analyze Wangneng 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.

The successful prediction of Wangneng Environment 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 Wangneng Environment Co, 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 Wangneng Environment based on analysis of Wangneng Environment hews, social hype, general headline patterns, and widely used predictive technical indicators.

The number of cover stories for Wangneng Environment depends on current market conditions and Wangneng Environment's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Wangneng Environment 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 Wangneng Environment's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.

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

Wangneng Environment's future price predictability will typically decrease when Wangneng Environment's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Wangneng Environment Co often depends not only on the future outlook of the potential Wangneng Environment'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. Wangneng Environment's indicators that are reflective of the short sentiment are summarized in the table below.

When running Wangneng Environment's price analysis, check to measure Wangneng Environment'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 Wangneng Environment is operating at the current time. Most of Wangneng Environment's value examination focuses on studying past and present price action to predict the probability of Wangneng Environment's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Wangneng Environment's price. Additionally, you may evaluate how the addition of Wangneng Environment to your portfolios can decrease your overall portfolio volatility.