Ceylon Hotels (Sri Lanka) Price Prediction
| CHOTN0000 | LKR 21.30 1.10 5.45% |
Oversold Vs Overbought
43
Oversold | Overbought |
Using Ceylon Hotels hype-based prediction, you can estimate the value of Ceylon Hotels from the perspective of Ceylon Hotels 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 Ceylon Hotels to buy its stock at a price that has no basis in reality. In that case, they are not buying Ceylon 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.
Ceylon Hotels after-hype prediction price | LKR 20.2 |
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.
Ceylon |
Ceylon Hotels Estimiated After-Hype Price Prediction Volatility
As far as predicting the price of Ceylon Hotels 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 Ceylon Hotels 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 Ceylon Hotels, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Ceylon Hotels Stock Price Prediction Analysis
Have you ever been surprised when a price of a Company such as Ceylon Hotels is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Ceylon Hotels 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 Ceylon Hotels, 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 |
0.29 | 2.17 | 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 | ||
21.30 | 20.20 | 0.00 |
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Ceylon Hotels Hype Timeline
Ceylon Hotels is currently traded for 21.30on Colombo Stock Exchange of Sri Lanka. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. Ceylon 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 insignificant. The immediate return on the next news is estimated to be very small, whereas the daily expected return is currently at 0.29%. %. The volatility of related hype on Ceylon Hotels is about 0.0%, with the expected price after the next announcement by competition of 21.30. The company had not issued any dividends in recent years. Assuming the 90 days trading horizon the next estimated press release will be in 5 to 10 days. Check out Ceylon Hotels Basic Forecasting Models to cross-verify your projections.Ceylon Hotels Related Hype Analysis
Having access to credible news sources related to Ceylon Hotels' direct competition is more important than ever and may enhance your ability to predict Ceylon Hotels' future price movements. Getting to know how Ceylon Hotels' 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 Ceylon Hotels may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| CINSX0000 | CEYLINCO INSURANCE PLC | 0.00 | 0 per month | 0.59 | 0.05 | 1.62 | (1.19) | 13.60 | |
| TRANN0000 | Trans Asia Hotels | 0.00 | 0 per month | 1.58 | (0.01) | 4.09 | (1.96) | 15.55 | |
| GHLLN0000 | Galadari Hotels Lanka | 0.00 | 0 per month | 1.32 | 0.03 | 3.66 | (2.68) | 11.00 | |
| AHUNN0000 | Aitken Spence Hotel | 0.00 | 0 per month | 1.30 | (0.01) | 3.77 | (2.60) | 6.96 | |
| LHLN0000 | Lighthouse Hotel PLC | 0.00 | 0 per month | 1.72 | 0.08 | 5.04 | (3.80) | 10.35 | |
| AINSN0000 | Arpico Insurance | 0.00 | 0 per month | 2.41 | (0.01) | 6.64 | (7.08) | 16.18 | |
| CHOTN0000 | Ceylon Hotels | 0.00 | 0 per month | 1.67 | 0.04 | 4.12 | (2.82) | 12.91 |
Ceylon Hotels Additional Predictive Modules
Most predictive techniques to examine Ceylon price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Ceylon using various technical indicators. When you analyze Ceylon 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 Ceylon Hotels Predictive Indicators
The successful prediction of Ceylon Hotels 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 Ceylon Hotels, 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 Ceylon Hotels based on analysis of Ceylon Hotels hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to Ceylon Hotels's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to Ceylon Hotels's related companies.
Story Coverage note for Ceylon Hotels
The number of cover stories for Ceylon Hotels depends on current market conditions and Ceylon Hotels' risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Ceylon Hotels 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 Ceylon Hotels' long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
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Complementary Tools for Ceylon Stock analysis
When running Ceylon Hotels' price analysis, check to measure Ceylon Hotels' 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 Ceylon Hotels is operating at the current time. Most of Ceylon Hotels' value examination focuses on studying past and present price action to predict the probability of Ceylon Hotels' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Ceylon Hotels' price. Additionally, you may evaluate how the addition of Ceylon Hotels to your portfolios can decrease your overall portfolio volatility.
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