BOC Hong Pink Sheet Forward View - Simple Exponential Smoothing
| BNKHF Stock | USD 5.40 0.00 0.00% |
BOC Pink Sheet outlook is based on your current time horizon. We suggest always using this module together with an analysis of BOC Hong's historical fundamentals, such as revenue growth or operating cash flow patterns.
As of 2nd of February 2026 The relative strength index (RSI) of BOC Hong's share price is above 80 suggesting that the pink sheet is significantly overbought by investors. The fundamental principle of the Relative Strength Index (RSI) is to quantify the velocity at which market participants are driving the price of a financial instrument upwards or downwards. Momentum 100
Buy Peaked
Oversold | Overbought |
Using BOC Hong hype-based prediction, you can estimate the value of BOC Hong Kong from the perspective of BOC Hong response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Exponential Smoothing forecasted value of BOC Hong Kong on the next trading day is expected to be 5.40 with a mean absolute deviation of 0.01 and the sum of the absolute errors of 0.80. BOC Hong after-hype prediction price | USD 5.37 |
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.
BOC |
BOC Hong Additional Predictive Modules
Most predictive techniques to examine BOC price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for BOC using various technical indicators. When you analyze BOC 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 |
BOC Hong Simple Exponential Smoothing Price Forecast For the 3rd of February
Given 90 days horizon, the Simple Exponential Smoothing forecasted value of BOC Hong Kong on the next trading day is expected to be 5.40 with a mean absolute deviation of 0.01, mean absolute percentage error of 0.01, and the sum of the absolute errors of 0.80.Please note that although there have been many attempts to predict BOC Pink Sheet prices using its time series forecasting, we generally do not suggest using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that BOC Hong's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
BOC Hong Pink Sheet Forecast Pattern
| Backtest BOC Hong | BOC Hong Price Prediction | Research Analysis |
BOC Hong Forecasted Value
In the context of forecasting BOC Hong'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. BOC Hong's downside and upside margins for the forecasting period are 3.76 and 7.04, respectively. We have considered BOC Hong'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 Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of BOC Hong pink sheet data series using in forecasting. Note that when a statistical model is used to represent BOC Hong 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 | 111.1704 |
| Bias | Arithmetic mean of the errors | -0.0133 |
| MAD | Mean absolute deviation | 0.0133 |
| MAPE | Mean absolute percentage error | 0.0026 |
| SAE | Sum of the absolute errors | 0.8 |
Predictive Modules for BOC Hong
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as BOC Hong Kong. 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.BOC Hong After-Hype Price Density Analysis
As far as predicting the price of BOC Hong 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 BOC Hong 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 BOC Hong, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
BOC Hong Estimiated After-Hype Price Volatility
In the context of predicting BOC Hong's pink sheet value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on BOC Hong's historical news coverage. BOC Hong's after-hype downside and upside margins for the prediction period are 3.73 and 7.01, respectively. We have considered BOC Hong'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 compare with traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
BOC Hong is somewhat reliable at this time. Analysis and calculation of next after-hype price of BOC Hong Kong is based on 3 months time horizon.
BOC Hong Pink Sheet Price Outlook Analysis
Have you ever been surprised when a price of a Company such as BOC Hong is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading BOC Hong 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 BOC Hong, 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 |
0.28 | 1.64 | 0.03 | 0.02 | 3 Events / Month | 3 Events / Month | In about 3 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
5.40 | 5.37 | 0.56 |
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BOC Hong Hype Timeline
BOC Hong Kong is currently traded for 5.40. The entity has historical hype elasticity of -0.03, and average elasticity to hype of competition of -0.02. BOC is forecasted to decline in value after the next headline, with the price expected to drop to 5.37. The average volatility of media hype impact on the company price is over 100%. The price reduction on the next news is expected to be -0.56%, whereas the daily expected return is currently at 0.28%. The volatility of related hype on BOC Hong is about 2484.85%, with the expected price after the next announcement by competition of 5.38. About 76.0% of the company shares are held by institutions such as insurance companies. The company has price-to-book (P/B) ratio of 0.83. Some equities with similar Price to Book (P/B) outperform the market in the long run. BOC Hong Kong has Price/Earnings To Growth (PEG) ratio of 0.66. The entity last dividend was issued on the 16th of September 2022. Assuming the 90 days horizon the next forecasted press release will be in about 3 days. Check out Historical Fundamental Analysis of BOC Hong to cross-verify your projections.BOC Hong Related Hype Analysis
Having access to credible news sources related to BOC Hong's direct competition is more important than ever and may enhance your ability to predict BOC Hong's future price movements. Getting to know how BOC Hong'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 BOC Hong may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| SCGLF | Socit Gnrale Socit | (0.11) | 16 per month | 1.18 | 0.17 | 5.94 | (2.73) | 12.48 | |
| SCGLY | Societe Generale ADR | (0.11) | 17 per month | 0.94 | 0.30 | 3.17 | (1.75) | 5.83 | |
| UOVEY | United Overseas Bank | (0.11) | 6 per month | 0.73 | 0.13 | 1.11 | (1.21) | 7.74 | |
| UOVEF | United Overseas Bank | (0.11) | 3 per month | 2.76 | 0.06 | 8.15 | (7.90) | 17.74 | |
| KBCSF | KBC Group NV | (0.11) | 17 per month | 0.00 | 0.13 | 0.00 | 0.00 | 11.23 | |
| DNBBF | DNB Bank ASA | 0.00 | 0 per month | 2.39 | 0.04 | 4.50 | (4.84) | 10.57 | |
| CRARY | Credit Agricole SA | 0.00 | 0 per month | 1.13 | 0.13 | 2.03 | (1.56) | 5.46 | |
| SCBFY | Standard Chartered PLC | 0.00 | 0 per month | 0.89 | 0.28 | 2.39 | (1.94) | 6.40 | |
| SCBFF | Standard Chartered PLC | (0.11) | 15 per month | 1.60 | 0.18 | 4.28 | (3.16) | 10.05 | |
| DNBBY | DNB Bank ASA | 0.00 | 0 per month | 0.94 | 0.09 | 1.76 | (1.55) | 4.75 |
Other Forecasting Options for BOC Hong
For every potential investor in BOC, whether a beginner or expert, BOC Hong's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. BOC Pink Sheet price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in BOC. Basic forecasting techniques help filter out the noise by identifying BOC Hong's price trends.BOC Hong 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 BOC Hong pink sheet to make a market-neutral strategy. Peer analysis of BOC Hong could also be used in its relative valuation, which is a method of valuing BOC Hong by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
BOC Hong Market Strength Events
Market strength indicators help investors to evaluate how BOC Hong 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 BOC Hong shares will generate the highest return on investment. By undertsting and applying BOC Hong pink sheet market strength indicators, traders can identify BOC Hong Kong entry and exit signals to maximize returns.
BOC Hong Risk Indicators
The analysis of BOC Hong'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 BOC Hong's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting boc 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 | 0.4942 | |||
| Standard Deviation | 1.58 | |||
| Variance | 2.5 |
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 BOC Hong
The number of cover stories for BOC Hong depends on current market conditions and BOC Hong's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that BOC Hong 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 BOC Hong'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 BOC Pink Sheet
BOC Hong financial ratios help investors to determine whether BOC 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 BOC with respect to the benefits of owning BOC Hong security.