Hang Lung Pink Sheet Forecast - Simple Regression
| HLPPF Stock | USD 1.09 0.00 0.00% |
Hang Pink Sheet outlook is based on your current time horizon. We recommend always using this module together with an analysis of Hang Lung's historical fundamentals, such as revenue growth or operating cash flow patterns.
The relative strength index (RSI) of Hang Lung's share price is below 30 as of 26th of January 2026. This usually indicates that the pink sheet is becoming oversold or undervalued. The main point of the Relative Strength Index (RSI) is to track how fast people are buying or selling Hang Lung Properties, making its price go up or down. Momentum 25
Sell Stretched
Oversold | Overbought |
Using Hang Lung hype-based prediction, you can estimate the value of Hang Lung Properties from the perspective of Hang Lung response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Regression forecasted value of Hang Lung Properties on the next trading day is expected to be 1.09 with a mean absolute deviation of 0.02 and the sum of the absolute errors of 1.34. Hang Lung after-hype prediction price | USD 1.09 |
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 pink sheet price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Hang |
Hang Lung Additional Predictive Modules
Most predictive techniques to examine Hang price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Hang using various technical indicators. When you analyze Hang 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 |
Hang Lung Simple Regression Price Forecast For the 27th of January
Given 90 days horizon, the Simple Regression forecasted value of Hang Lung Properties on the next trading day is expected to be 1.09 with a mean absolute deviation of 0.02, mean absolute percentage error of 0.0008, and the sum of the absolute errors of 1.34.Please note that although there have been many attempts to predict Hang Pink Sheet prices using its time series forecasting, we generally do not recommend using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Hang Lung's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Hang Lung Pink Sheet Forecast Pattern
| Backtest Hang Lung | Hang Lung Price Prediction | Buy or Sell Advice |
Hang Lung Forecasted Value
In the context of forecasting Hang Lung's Pink Sheet value on the next trading day, we examine the predictive performance of the model to find good statistically significant boundaries of downside and upside scenarios. Hang Lung's downside and upside margins for the forecasting period are 0.01 and 2.59, respectively. We have considered Hang Lung's daily market price to evaluate the above model's predictive performance. Remember, however, there is no scientific proof or empirical evidence that traditional linear or nonlinear forecasting models outperform artificial intelligence and frequency domain models to provide accurate forecasts consistently.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Simple Regression forecasting method's relative quality and the estimations of the prediction error of Hang Lung pink sheet data series using in forecasting. Note that when a statistical model is used to represent Hang Lung pink sheet, the representation will rarely be exact; so some information will be lost using the model to explain the process. AIC estimates the relative amount of information lost by a given model: the less information a model loses, the higher its quality.| AIC | Akaike Information Criteria | 110.9209 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.022 |
| MAPE | Mean absolute percentage error | 0.0193 |
| SAE | Sum of the absolute errors | 1.3443 |
Predictive Modules for Hang Lung
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Hang Lung Properties. Regardless of method or technology, however, to accurately forecast the pink sheet market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the pink sheet market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.Hang Lung After-Hype Price Density Analysis
As far as predicting the price of Hang Lung 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 Hang Lung 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 Pink Sheet prices, such as prices of Hang Lung, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Hang Lung Estimiated After-Hype Price Volatility
In the context of predicting Hang Lung's pink sheet value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Hang Lung's historical news coverage. Hang Lung's after-hype downside and upside margins for the prediction period are 0.05 and 2.59, respectively. We have considered Hang Lung'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
Hang Lung is risky at this time. Analysis and calculation of next after-hype price of Hang Lung Properties is based on 3 months time horizon.
Hang Lung Pink Sheet Price Outlook Analysis
Have you ever been surprised when a price of a Company such as Hang Lung is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Hang Lung 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 Pink Sheet 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 Hang Lung, 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 |
0.12 | 1.50 | 0.00 | 0.00 | 0 Events / Month | 0 Events / Month | In a few days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
1.09 | 1.09 | 0.00 |
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Hang Lung Hype Timeline
Hang Lung Properties is currently traded for 1.09. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. Hang is projected 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 projected to be very small, whereas the daily expected return is currently at -0.12%. %. The volatility of related hype on Hang Lung is about 0.0%, with the expected price after the next announcement by competition of 1.09. About 61.0% of the company shares are held by company insiders. The company has price-to-book (P/B) ratio of 0.49. Some equities with similar Price to Book (P/B) outperform the market in the long run. Hang Lung Properties has Price/Earnings To Growth (PEG) ratio of 0.21. The entity last dividend was issued on the 3rd of May 2023. Assuming the 90 days horizon the next projected press release will be in a few days. Check out Historical Fundamental Analysis of Hang Lung to cross-verify your projections.Hang Lung Related Hype Analysis
Having access to credible news sources related to Hang Lung's direct competition is more important than ever and may enhance your ability to predict Hang Lung's future price movements. Getting to know how Hang Lung'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 Hang Lung may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| LEGIF | LEG Immobilien SE | 0.00 | 0 per month | 0.00 | (0.13) | 0.00 | (0.01) | 14.96 | |
| CWQXF | Castellum AB | 0.00 | 0 per month | 0.00 | 0.04 | 0.64 | 0.00 | 15.43 | |
| CWQXY | Castellum AB ADR | 0.00 | 0 per month | 0.00 | (0.49) | 0.00 | 0.00 | 1.04 | |
| CDEVF | City Developments Limited | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| UOLGY | UOL Group Ltd | 0.00 | 0 per month | 0.94 | 0.25 | 2.82 | (2.43) | 8.17 | |
| AYAAF | Ayala Land | 0.00 | 0 per month | 0.00 | (0.01) | 2.94 | (4.88) | 24.37 | |
| GPTGF | GPT Group | 0.00 | 0 per month | 0.00 | (0.02) | 2.25 | 0.00 | 10.63 | |
| NMEHF | Nomura Real Estate | 0.00 | 0 per month | 0.00 | (0.01) | 0.00 | 0.00 | 11.38 | |
| WDPSF | Warehouses De Pauw | 0.00 | 0 per month | 0.90 | (0) | 4.08 | (2.20) | 9.25 | |
| LDSCY | Land Securities Group | 0.00 | 0 per month | 1.67 | 0.04 | 2.68 | (2.93) | 8.31 |
Other Forecasting Options for Hang Lung
For every potential investor in Hang, whether a beginner or expert, Hang Lung's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Hang Pink Sheet price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Hang. Basic forecasting techniques help filter out the noise by identifying Hang Lung's price trends.Hang Lung Related Equities
One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with Hang Lung pink sheet to make a market-neutral strategy. Peer analysis of Hang Lung could also be used in its relative valuation, which is a method of valuing Hang Lung by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Hang Lung Market Strength Events
Market strength indicators help investors to evaluate how Hang Lung pink sheet reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Hang Lung shares will generate the highest return on investment. By undertsting and applying Hang Lung pink sheet market strength indicators, traders can identify Hang Lung Properties entry and exit signals to maximize returns.
Hang Lung Risk Indicators
The analysis of Hang Lung's basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in Hang Lung's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting hang pink sheet prices, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
| Mean Deviation | 0.3305 | |||
| Standard Deviation | 1.44 | |||
| Variance | 2.08 |
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.
Story Coverage note for Hang Lung
The number of cover stories for Hang Lung depends on current market conditions and Hang Lung's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Hang Lung 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 Hang Lung'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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Other Information on Investing in Hang Pink Sheet
Hang Lung financial ratios help investors to determine whether Hang Pink Sheet 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 Hang with respect to the benefits of owning Hang Lung security.