Imperial Brands Plc Stock Price Prediction
| IMBBF Stock | USD 42.54 1.02 2.46% |
Momentum 47
Impartial
Oversold | Overbought |
It is a matter of debate whether otc price prediction based on information in financial news can generate a strong buy or sell signal. We use our internally-built news screening methodology to estimate the value of Imperial Brands based on different types of headlines from major news networks to social media. Using Imperial Brands hype-based prediction, you can estimate the value of Imperial Brands PLC from the perspective of Imperial Brands response to recently generated media hype and the effects of current headlines on its competitors.
This module is based on analyzing investor sentiment around taking a position in Imperial Brands. This speculative approach is based exclusively on the idea that markets are driven by emotions such as investor fear and greed. The fear of missing out, i.e., FOMO, can cause potential investors in Imperial Brands to buy its otc stock at a price that has no basis in reality. In that case, they are not buying Imperial 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 otc stocks at prices well below their value during bear markets because they need to stop feeling the pain of losing money.
Imperial Brands after-hype prediction price | USD 42.54 |
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 otc price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Imperial |
Imperial Brands After-Hype Price Density Analysis
As far as predicting the price of Imperial Brands 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 Imperial Brands 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 OTC Stock prices, such as prices of Imperial Brands, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Imperial Brands Estimiated After-Hype Price Volatility
In the context of predicting Imperial Brands' otc stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Imperial Brands' historical news coverage. Imperial Brands' after-hype downside and upside margins for the prediction period are 40.03 and 45.05, respectively. We have considered Imperial Brands' 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
Imperial Brands is very steady at this time. Analysis and calculation of next after-hype price of Imperial Brands PLC is based on 3 months time horizon.
Imperial Brands OTC Stock Price Outlook Analysis
Have you ever been surprised when a price of a OTC Stock such as Imperial Brands is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Imperial Brands 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 OTC 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 Imperial Brands, 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 |
0.19 | 2.51 | 0.00 | 0.00 | 0 Events / Month | 0 Events / Month | Uncertain |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
42.54 | 42.54 | 0.00 |
|
Imperial Brands Hype Timeline
Imperial Brands PLC is currently traded for 42.54. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. Imperial 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 0.19%. %. The volatility of related hype on Imperial Brands is about 41833.33%, with the expected price after the next announcement by competition of 42.54. About 65.0% of the company shares are owned by institutional investors. The book value of Imperial Brands was currently reported as 7.3. The company has Price/Earnings To Growth (PEG) ratio of 0.69. Imperial Brands PLC last dividend was issued on the 16th of February 2023. Assuming the 90 days horizon the next forecasted press release will be uncertain. Check out Imperial Brands Basic Forecasting Models to cross-verify your projections.Imperial Brands Related Hype Analysis
Having access to credible news sources related to Imperial Brands' direct competition is more important than ever and may enhance your ability to predict Imperial Brands' future price movements. Getting to know how Imperial Brands' 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 Imperial Brands may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| HENOF | Henkel AG Co | 0.00 | 0 per month | 0.71 | (0.03) | 1.95 | (2.09) | 5.12 | |
| HENOY | Henkel Ag A | 0.00 | 0 per month | 0.92 | (0.02) | 1.94 | (1.48) | 5.68 | |
| HELKF | Henkel AG Co | 0.00 | 0 per month | 0.00 | (0.02) | 0.77 | 0.00 | 4.44 | |
| HENKY | Henkel AG Co | 0.00 | 0 per month | 0.83 | 0.02 | 2.13 | (1.38) | 4.28 | |
| SVNDY | Seven i Holdings | 0.00 | 0 per month | 1.43 | 0.01 | 2.31 | (1.81) | 8.65 | |
| SVNDF | Seven i Holdings | 0.00 | 0 per month | 0.00 | 0.08 | 2.10 | 0.00 | 12.23 | |
| LDSVF | Chocoladefabriken Lindt Sprngli | 0.00 | 0 per month | 0.00 | (0.27) | 1.43 | (2.40) | 5.67 | |
| ADRNY | Koninklijke Ahold Delhaize | 0.00 | 0 per month | 0.00 | (0.28) | 1.38 | (1.42) | 4.00 | |
| DLMAF | Dollarama | 0.00 | 0 per month | 1.40 | 0.01 | 2.54 | (1.80) | 13.27 | |
| TSCDF | Tesco PLC | (0.06) | 3 per month | 0.00 | (0.07) | 4.11 | (4.31) | 11.27 |
Imperial Brands Additional Predictive Modules
Most predictive techniques to examine Imperial price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Imperial using various technical indicators. When you analyze Imperial 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 Imperial Brands Predictive Indicators
The successful prediction of Imperial Brands 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 Imperial Brands PLC, 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 Imperial Brands based on analysis of Imperial Brands hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to Imperial Brands's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to Imperial Brands's related companies.
Currently Active Assets on Macroaxis
Complementary Tools for Imperial OTC Stock analysis
When running Imperial Brands' price analysis, check to measure Imperial Brands' 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 Imperial Brands is operating at the current time. Most of Imperial Brands' value examination focuses on studying past and present price action to predict the probability of Imperial Brands' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Imperial Brands' price. Additionally, you may evaluate how the addition of Imperial Brands to your portfolios can decrease your overall portfolio volatility.
| Transaction History View history of all your transactions and understand their impact on performance | |
| Performance Analysis Check effects of mean-variance optimization against your current asset allocation |