Bank of China (China) Price Prediction
| 601988 Stock | 5.03 0.01 0.20% |
Oversold Vs Overbought
44
Oversold | Overbought |
Wall Street Target Price 5.04 | EPS Estimate Current Quarter 0.22 | Quarterly Revenue Growth 0.126 |
Using Bank of China hype-based prediction, you can estimate the value of Bank of China from the perspective of Bank of China 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 Bank of China to buy its stock at a price that has no basis in reality. In that case, they are not buying Bank 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 stocks at prices well below their value during bear markets because they need to stop feeling the pain of losing money.
Bank of China after-hype prediction price | CNY 5.05 |
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.
Bank |
Bank of China After-Hype Price Prediction Density Analysis
As far as predicting the price of Bank of China 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 Bank of China 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 Bank of China, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Bank of China Estimiated After-Hype Price Volatility
In the context of predicting Bank of China's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Bank of China's historical news coverage. Bank of China's after-hype downside and upside margins for the prediction period are 3.44 and 6.66, respectively. We have considered Bank of China'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
Bank of China is somewhat reliable at this time. Analysis and calculation of next after-hype price of Bank of China is based on 3 months time horizon.
Bank of China Stock Price Prediction Analysis
Have you ever been surprised when a price of a Company such as Bank of China is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Bank of China 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 Bank of China, 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 |
0.10 | 1.59 | 0.01 | 0.05 | 3 Events / Month | 1 Events / Month | In about 3 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
5.03 | 5.05 | 0.20 |
|
Bank of China Hype Timeline
Bank of China is presently traded for 5.03on Shanghai Stock Exchange of China. The entity has historical hype elasticity of 0.01, and average elasticity to hype of competition of 0.05. Bank is forecasted to increase in value after the next headline, with the price projected to jump to 5.05 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 0.2%, whereas the daily expected return is presently at 0.1%. The volatility of related hype on Bank of China is about 324.49%, with the expected price after the next announcement by competition of 5.08. The company reported the revenue of 621.92 B. Net Income was 231.9 B with profit before overhead, payroll, taxes, and interest of 502.99 B. Assuming the 90 days trading horizon the next forecasted press release will be in about 3 days. Check out Bank of China Basic Forecasting Models to cross-verify your projections.Bank of China Related Hype Analysis
Having access to credible news sources related to Bank of China's direct competition is more important than ever and may enhance your ability to predict Bank of China's future price movements. Getting to know how Bank of China'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 Bank of China may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| 002516 | Kuangda Technology Group | 0.00 | 0 per month | 2.29 | 0.13 | 8.28 | (4.01) | 16.92 | |
| 603920 | Olympic Circuit Technology | (0.09) | 2 per month | 4.01 | 0.13 | 9.46 | (7.09) | 19.53 | |
| 688122 | Western Superconducting Tech | (0.32) | 1 per month | 2.53 | 0.08 | 6.08 | (4.10) | 29.34 | |
| 688520 | Sinocelltech Group | 2.96 | 1 per month | 3.57 | 0.02 | 5.73 | (6.82) | 23.24 | |
| 603662 | Keli Sensing Technology | (0.17) | 1 per month | 3.27 | 0.20 | 10.00 | (5.68) | 20.01 | |
| 002008 | HanS Laser Tech | 1.54 | 2 per month | 2.40 | 0.09 | 6.16 | (4.15) | 16.03 | |
| 301190 | Jiujiang Shanshui Technology | 0.00 | 0 per month | 2.59 | 0.07 | 4.29 | (3.99) | 22.46 | |
| 300597 | Jilin Jlu Communication | 0.00 | 0 per month | 3.83 | 0.1 | 6.00 | (5.15) | 28.63 |
Bank of China Additional Predictive Modules
Most predictive techniques to examine Bank price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Bank using various technical indicators. When you analyze Bank 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 Bank of China Predictive Indicators
The successful prediction of Bank of China 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 Bank of China, 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 Bank of China based on analysis of Bank of China hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to Bank of China's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to Bank of China's related companies.
Story Coverage note for Bank of China
The number of cover stories for Bank of China depends on current market conditions and Bank of China's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Bank of China 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 Bank of China'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
Story Categories
Currently Trending Categories
Bank of China Short Properties
Bank of China's future price predictability will typically decrease when Bank of China's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Bank of China often depends not only on the future outlook of the potential Bank of China'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. Bank of China's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 294.4 B |
Complementary Tools for Bank Stock analysis
When running Bank of China's price analysis, check to measure Bank of China'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 Bank of China is operating at the current time. Most of Bank of China's value examination focuses on studying past and present price action to predict the probability of Bank of China's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Bank of China's price. Additionally, you may evaluate how the addition of Bank of China to your portfolios can decrease your overall portfolio volatility.
| Idea Breakdown Analyze constituents of all Macroaxis ideas. Macroaxis investment ideas are predefined, sector-focused investing themes | |
| Latest Portfolios Quick portfolio dashboard that showcases your latest portfolios | |
| Sectors List of equity sectors categorizing publicly traded companies based on their primary business activities | |
| Insider Screener Find insiders across different sectors to evaluate their impact on performance | |
| Positions Ratings Determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance | |
| Risk-Return Analysis View associations between returns expected from investment and the risk you assume | |
| Price Transformation Use Price Transformation models to analyze the depth of different equity instruments across global markets | |
| Piotroski F Score Get Piotroski F Score based on the binary analysis strategy of nine different fundamentals |