Bank of Nanjing (China) Price Prediction

Intrinsic Valuation Low Real High 6.99 8.87 10.75 Details

Earnings Estimates (0) Low Projected EPS High 0.00 0.00 0.00 Details

Bank of Nanjing After-Hype Price Prediction Density Analysis

Bank of Nanjing Estimiated After-Hype Price Volatility

Bank of Nanjing Stock Price Prediction Analysis

Expected Return	Period Volatility	Hype Elasticity	Related Elasticity	News Density	Related Density	Expected Hype
0.06	1.88	0.00	0.01	2 Events / Month	1 Events / Month	In a few days

Latest traded price	Expected after-news price	Potential return on next major news	Average after-hype volatility
10.53	10.50	0.00	9,400   Notes

Bank of Nanjing Hype Timeline

Bank of Nanjing is presently traded for 10.53on Shanghai Stock Exchange of China. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.01. Bank is estimated not to react to the next headline, with the price staying at about the same level, and average media hype impact volatility is over 100%. The immediate return on the next news is estimated to be very small, whereas the daily expected return is presently at 0.06%. %. The volatility of related hype on Bank of Nanjing is about 840.22%, with the expected price after the next announcement by competition of 10.54. About 50.0% of the company shares are owned by insiders or employees . The company has Price-to-Book (P/B) ratio of 0.67. In the past many companies with similar price-to-book ratios have beat the market. Bank of Nanjing last dividend was issued on the 1st of November 2024. The entity had 14:10 split on the 18th of July 2017. Assuming the 90 days trading horizon the next estimated press release will be in a few days. Check out Bank of Nanjing Basic Forecasting Models to cross-verify your projections.

Bank of Nanjing Related Hype Analysis

Bank of Nanjing 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.

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

The number of cover stories for Bank of Nanjing depends on current market conditions and Bank of Nanjing'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 Nanjing 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 Nanjing'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

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

When running Bank of Nanjing's price analysis, check to measure Bank of Nanjing'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 Nanjing is operating at the current time. Most of Bank of Nanjing's value examination focuses on studying past and present price action to predict the probability of Bank of Nanjing'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 Nanjing's price. Additionally, you may evaluate how the addition of Bank of Nanjing to your portfolios can decrease your overall portfolio volatility.