Shangri La (Malaysia) Price Prediction
5517 Stock | 2.02 0.02 1.00% |
Oversold Vs Overbought
58
Oversold | Overbought |
Using Shangri La hype-based prediction, you can estimate the value of Shangri La Hotels from the perspective of Shangri La 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 Shangri La to buy its stock at a price that has no basis in reality. In that case, they are not buying Shangri 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.
Shangri La after-hype prediction price | MYR 2.02 |
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.
Shangri |
Shangri La After-Hype Price Prediction Density Analysis
As far as predicting the price of Shangri La 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 Shangri La 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 Shangri La, with the unreliable approximations that try to describe financial returns.
Next price density |
Expected price to next headline |
Shangri La Estimiated After-Hype Price Volatility
In the context of predicting Shangri La's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Shangri La's historical news coverage. Shangri La's after-hype downside and upside margins for the prediction period are 0.97 and 3.07, respectively. We have considered Shangri La'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
Shangri La is slightly risky at this time. Analysis and calculation of next after-hype price of Shangri La Hotels is based on 3 months time horizon.
Shangri La Stock Price Prediction Analysis
Have you ever been surprised when a price of a Company such as Shangri La is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Shangri La 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 Shangri La, 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 |
0.01 | 1.05 | 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 | ||
2.02 | 2.02 | 0.00 |
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Shangri La Hype Timeline
Shangri La Hotels is presently traded for 2.02on Kuala Lumpur Exchange of Malaysia. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. Shangri 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 presently at 0.01%. %. The volatility of related hype on Shangri La is about 0.0%, with the expected price after the next announcement by competition of 2.02. The company has Price-to-Book (P/B) ratio of 1.87. In the past many companies with similar price-to-book ratios have beat the market. Shangri La Hotels 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 Shangri La Basic Forecasting Models to cross-verify your projections.Shangri La Related Hype Analysis
Having access to credible news sources related to Shangri La's direct competition is more important than ever and may enhance your ability to predict Shangri La's future price movements. Getting to know how Shangri La'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 Shangri La may potentially react to the hype associated with one of its peers.
HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
5196 | Berjaya Food Bhd | 0.00 | 0 per month | 0.00 | (0.05) | 5.41 | (7.69) | 23.36 | |
5517 | Shangri La Hotels | 0.00 | 0 per month | 0.95 | (0.07) | 1.99 | (1.93) | 5.07 | |
2143 | ECM Libra Financial | 0.00 | 0 per month | 3.98 | 0.01 | 5.56 | (5.26) | 58.33 | |
5116 | Al Aqar Healthcare | 0.00 | 0 per month | 0.60 | (0.01) | 1.55 | (1.44) | 4.40 | |
7172 | PMB Technology Bhd | 0.00 | 0 per month | 0.00 | (0.1) | 4.55 | (6.07) | 16.39 | |
0029 | Digistar Bhd | 0.00 | 0 per month | 4.75 | (0.01) | 10.00 | (9.09) | 36.67 | |
7219 | Minetech Resources Bhd | 0.00 | 0 per month | 0.00 | (0.03) | 7.69 | (7.14) | 21.43 | |
7233 | Dufu Tech Corp | 0.00 | 0 per month | 1.42 | (0) | 4.30 | (2.31) | 11.09 | |
0148 | Sunzen Biotech Bhd | 0.00 | 0 per month | 1.04 | (0.07) | 3.03 | (2.94) | 6.35 | |
5306 | FARM FRESH BERHAD | 0.00 | 0 per month | 1.13 | 0.01 | 2.76 | (2.19) | 6.78 |
Shangri La Additional Predictive Modules
Most predictive techniques to examine Shangri price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Shangri using various technical indicators. When you analyze Shangri 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 Shangri La Predictive Indicators
The successful prediction of Shangri La 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 Shangri La 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 Shangri La based on analysis of Shangri La hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to Shangri La's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to Shangri La's related companies.
Story Coverage note for Shangri La
The number of cover stories for Shangri La depends on current market conditions and Shangri La's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Shangri La 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 Shangri La'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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Shangri La Short Properties
Shangri La's future price predictability will typically decrease when Shangri La's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Shangri La Hotels often depends not only on the future outlook of the potential Shangri La'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. Shangri La's indicators that are reflective of the short sentiment are summarized in the table below.
Common Stock Shares Outstanding | 440 M | |
Short Long Term Debt | 174.7 M | |
Cash And Short Term Investments | 78.2 M |
Other Information on Investing in Shangri Stock
Shangri La financial ratios help investors to determine whether Shangri 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 Shangri with respect to the benefits of owning Shangri La security.