Pan Asia (Thailand) Price Prediction
| PAF Stock | THB 0.97 0.03 3.00% |
Oversold Vs Overbought
40
Oversold | Overbought |
Using Pan Asia hype-based prediction, you can estimate the value of Pan Asia Footwear from the perspective of Pan Asia 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 Pan Asia to buy its stock at a price that has no basis in reality. In that case, they are not buying Pan 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.
Pan Asia after-hype prediction price | THB 0.97 |
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.
Pan |
Pan Asia After-Hype Price Prediction Density Analysis
As far as predicting the price of Pan Asia 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 Pan Asia 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 Pan Asia, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Pan Asia Estimiated After-Hype Price Volatility
In the context of predicting Pan Asia's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Pan Asia's historical news coverage. Pan Asia's after-hype downside and upside margins for the prediction period are 0.05 and 2.91, respectively. We have considered Pan Asia'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
Pan Asia is very risky at this time. Analysis and calculation of next after-hype price of Pan Asia Footwear is based on 3 months time horizon.
Pan Asia Stock Price Prediction Analysis
Have you ever been surprised when a price of a Company such as Pan Asia is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Pan Asia 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 Pan Asia, 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 |
0.30 | 1.94 | 0.00 | 0.00 | 0 Events / Month | 0 Events / Month | Within a week |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
0.97 | 0.97 | 0.00 |
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Pan Asia Hype Timeline
Pan Asia Footwear is at this time traded for 0.97on Thailand Exchange of Thailand. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. Pan 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 at this time at -0.3%. %. The volatility of related hype on Pan Asia is about 0.0%, with the expected price after the next announcement by competition of 0.97. About 58.0% of the company outstanding shares are owned by corporate insiders. The company has price-to-book ratio of 1.25. Typically companies with comparable Price to Book (P/B) are able to outperform the market in the long run. Pan Asia Footwear last dividend was issued on the 5th of May 2022. The entity had 2:1 split on the 19th of December 2001. Assuming the 90 days trading horizon the next forecasted press release will be within a week. Check out Pan Asia Basic Forecasting Models to cross-verify your projections.Pan Asia Related Hype Analysis
Having access to credible news sources related to Pan Asia's direct competition is more important than ever and may enhance your ability to predict Pan Asia's future price movements. Getting to know how Pan Asia'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 Pan Asia may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| HFT | Hwa Fong Rubber | 0.00 | 0 per month | 0.00 | (0.20) | 1.78 | (1.70) | 6.56 | |
| AH | AAPICO Hitech Public | 0.00 | 0 per month | 0.00 | (0.15) | 3.92 | (3.92) | 13.10 | |
| HTC | Haad Thip Public | 0.00 | 0 per month | 1.28 | (0.04) | 2.42 | (1.84) | 8.47 | |
| ITD | Italian Thai Development Public | 0.00 | 0 per month | 0.00 | (0.15) | 3.08 | (5.17) | 22.47 |
Pan Asia Additional Predictive Modules
Most predictive techniques to examine Pan price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Pan using various technical indicators. When you analyze Pan 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 Pan Asia Predictive Indicators
The successful prediction of Pan Asia 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 Pan Asia Footwear, 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 Pan Asia based on analysis of Pan Asia hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to Pan Asia's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to Pan Asia's related companies.
Story Coverage note for Pan Asia
The number of cover stories for Pan Asia depends on current market conditions and Pan Asia's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Pan Asia 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 Pan Asia'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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Pan Asia Short Properties
Pan Asia's future price predictability will typically decrease when Pan Asia's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Pan Asia Footwear often depends not only on the future outlook of the potential Pan Asia'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. Pan Asia's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 540 M |
Other Information on Investing in Pan Stock
Pan Asia financial ratios help investors to determine whether Pan 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 Pan with respect to the benefits of owning Pan Asia security.