Bank Net (Indonesia) Price Prediction
| BANK Stock | IDR 800.00 15.00 1.84% |
Oversold Vs Overbought
39
Oversold | Overbought |
Using Bank Net hype-based prediction, you can estimate the value of Bank Net Indonesia from the perspective of Bank Net 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 Net 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 Net after-hype prediction price | IDR 800.0 |
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 Net After-Hype Price Prediction Density Analysis
As far as predicting the price of Bank Net 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 Net 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 Net, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Bank Net Estimiated After-Hype Price Volatility
In the context of predicting Bank Net's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Bank Net's historical news coverage. Bank Net's after-hype downside and upside margins for the prediction period are 798.20 and 801.80, respectively. We have considered Bank Net'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 Net is very steady at this time. Analysis and calculation of next after-hype price of Bank Net Indonesia is based on 3 months time horizon.
Bank Net Stock Price Prediction Analysis
Have you ever been surprised when a price of a Company such as Bank Net is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Bank Net 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 Net, 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 |
0.13 | 1.80 | 0.00 | 0.00 | 0 Events / Month | 0 Events / Month | In 5 to 10 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
800.00 | 800.00 | 0.00 |
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Bank Net Hype Timeline
Bank Net Indonesia is currently traded for 800.00on Jakarta Exchange of Indonesia. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. Bank 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 -0.13%. %. The volatility of related hype on Bank Net is about 0.0%, with the expected price after the next announcement by competition of 800.00. About 55.0% of the company shares are held by company insiders. The company has Price/Earnings (P/E) ratio of 688.52. Bank Net Indonesia recorded a loss per share of 13.02. The entity had not issued any dividends in recent years. Assuming the 90 days trading horizon the next forecasted press release will be in 5 to 10 days. Check out Bank Net Basic Forecasting Models to cross-verify your projections.Bank Net Related Hype Analysis
Having access to credible news sources related to Bank Net's direct competition is more important than ever and may enhance your ability to predict Bank Net's future price movements. Getting to know how Bank Net'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 Net may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| ARTO | Bank Artos Indonesia | 0.00 | 0 per month | 0.00 | (0.12) | 4.07 | (4.07) | 12.98 | |
| BBYB | Bank Yudha Bhakti | 0.00 | 0 per month | 0.00 | (0.03) | 4.27 | (4.40) | 31.62 | |
| BBHI | Bk Harda Internasional | 0.00 | 0 per month | 0.00 | (0.1) | 4.44 | (3.96) | 18.28 | |
| AGRO | Bank Rakyat Indonesia | 0.00 | 0 per month | 0.00 | (0.13) | 3.91 | (4.17) | 14.80 | |
| EMTK | Elang Mahkota Teknologi | 0.00 | 0 per month | 2.44 | 0.1 | 4.94 | (3.90) | 21.15 |
Bank Net 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 Net Predictive Indicators
The successful prediction of Bank Net 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 Net Indonesia, 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 Net based on analysis of Bank Net hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to Bank Net's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to Bank Net's related companies.
Story Coverage note for Bank Net
The number of cover stories for Bank Net depends on current market conditions and Bank Net'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 Net 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 Net's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
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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
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Bank Net Short Properties
Bank Net's future price predictability will typically decrease when Bank Net's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Bank Net Indonesia often depends not only on the future outlook of the potential Bank Net'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 Net's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 13.1 B |
Other Information on Investing in Bank Stock
Bank Net financial ratios help investors to determine whether Bank Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Bank with respect to the benefits of owning Bank Net security.