Hang Seng Bank Stock Price Patterns
| HSNGF Stock | USD 15.81 3.49 18.08% |
Momentum 100
Buy Peaked
Oversold | Overbought |
Using Hang Seng hype-based prediction, you can estimate the value of Hang Seng Bank from the perspective of Hang Seng 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 Hang Seng to buy its pink sheet at a price that has no basis in reality. In that case, they are not buying Hang 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 pink sheets at prices well below their value during bear markets because they need to stop feeling the pain of losing money.
Hang Seng after-hype prediction price | USD 15.81 |
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 pink sheet price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Hang |
Hang Seng After-Hype Price Density Analysis
As far as predicting the price of Hang Seng 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 Hang Seng 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 Pink Sheet prices, such as prices of Hang Seng, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Hang Seng Estimiated After-Hype Price Volatility
In the context of predicting Hang Seng's pink sheet value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Hang Seng's historical news coverage. Hang Seng's after-hype downside and upside margins for the prediction period are 12.69 and 18.93, respectively. We have considered Hang Seng'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 compare with traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
Hang Seng is not too volatile at this time. Analysis and calculation of next after-hype price of Hang Seng Bank is based on 3 months time horizon.
Hang Seng Pink Sheet Price Outlook Analysis
Have you ever been surprised when a price of a Company such as Hang Seng is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Hang Seng 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 Pink Sheet 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 Hang Seng, 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 |
0.04 | 3.12 | 0.00 | 0.00 | 0 Events / Month | 0 Events / Month | In a few days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
15.81 | 15.81 | 0.00 |
|
Hang Seng Hype Timeline
Hang Seng Bank is currently traded for 15.81. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. Hang is forecasted 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 forecasted to be very small, whereas the daily expected return is currently at -0.04%. %. The volatility of related hype on Hang Seng is about 0.0%, with the expected price after the next announcement by competition of 15.81. About 62.0% of the company shares are held by company insiders. The company has price-to-book (P/B) ratio of 1.34. Some equities with similar Price to Book (P/B) outperform the market in the long run. Hang Seng Bank has Price/Earnings To Growth (PEG) ratio of 0.55. The entity last dividend was issued on the 20th of October 2022. The firm had 2:1 split on the 23rd of March 1979. Assuming the 90 days horizon the next forecasted press release will be in a few days. Check out Hang Seng Basic Forecasting Models to cross-verify your projections.Hang Seng Related Hype Analysis
Having access to credible news sources related to Hang Seng's direct competition is more important than ever and may enhance your ability to predict Hang Seng's future price movements. Getting to know how Hang Seng'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 Hang Seng may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| SVKEF | Skandinaviska Enskilda Banken | 0.00 | 0 per month | 0.00 | 0.07 | 3.28 | (1.87) | 12.51 | |
| BKRKY | Bank Rakyat | 0.00 | 0 per month | 1.86 | (0.01) | 2.79 | (2.50) | 11.47 | |
| DNSKF | Danske Bank AS | 0.00 | 0 per month | 0.00 | 0.09 | 2.45 | 0.00 | 11.39 | |
| BKRKF | PT Bank Rakyat | 0.00 | 0 per month | 5.25 | 0.02 | 5.26 | (8.70) | 47.81 | |
| DNKEY | Danske Bank AS | 0.00 | 0 per month | 0.94 | 0.19 | 2.31 | (1.72) | 5.57 | |
| JPPTY | JAPAN POST BANK | 0.00 | 0 per month | 2.11 | 0.16 | 9.02 | (5.23) | 62.34 | |
| DNBBY | DNB Bank ASA | 0.00 | 0 per month | 0.80 | 0.16 | 1.98 | (1.55) | 4.75 | |
| SWDBY | Swedbank AB | 0.00 | 0 per month | 0.70 | 0.30 | 2.49 | (1.59) | 4.54 | |
| DNBBF | DNB Bank ASA | 0.00 | 0 per month | 2.36 | 0.06 | 4.50 | (4.84) | 10.57 | |
| EBKOF | Erste Group Bank | 0.00 | 0 per month | 1.07 | 0.21 | 3.84 | (1.69) | 9.27 |
Hang Seng Additional Predictive Modules
Most predictive techniques to examine Hang price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Hang using various technical indicators. When you analyze Hang 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 Hang Seng Predictive Indicators
The successful prediction of Hang Seng 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 Hang Seng Bank, 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 Hang Seng based on analysis of Hang Seng hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to Hang Seng's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to Hang Seng's related companies.
Currently Active Assets on Macroaxis
| FSLY | Fastly Class A | |
| MOB | Mobilicom Limited American | |
| CMG | Chipotle Mexican Grill | |
| CSAN | Cosan SA ADR | |
| RKT | Rocket Companies |
Complementary Tools for Hang Pink Sheet analysis
When running Hang Seng's price analysis, check to measure Hang Seng'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 Hang Seng is operating at the current time. Most of Hang Seng's value examination focuses on studying past and present price action to predict the probability of Hang Seng's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Hang Seng's price. Additionally, you may evaluate how the addition of Hang Seng to your portfolios can decrease your overall portfolio volatility.
| Portfolio File Import Quickly import all of your third-party portfolios from your local drive in csv format | |
| Companies Directory Evaluate performance of over 100,000 Stocks, Funds, and ETFs against different fundamentals | |
| Top Crypto Exchanges Search and analyze digital assets across top global cryptocurrency exchanges | |
| Theme Ratings Determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance | |
| Earnings Calls Check upcoming earnings announcements updated hourly across public exchanges | |
| Portfolio Optimization Compute new portfolio that will generate highest expected return given your specified tolerance for risk | |
| Portfolio Backtesting Avoid under-diversification and over-optimization by backtesting your portfolios | |
| Price Transformation Use Price Transformation models to analyze the depth of different equity instruments across global markets | |
| Volatility Analysis Get historical volatility and risk analysis based on latest market data |