Hong Kong Pink Sheet Forecast - Naive Prediction
| HKXCF Stock | USD 31.45 0.56 1.81% |
The Naive Prediction forecasted value of Hong Kong Exchanges on the next trading day is expected to be 32.85 with a mean absolute deviation of 0.49 and the sum of the absolute errors of 30.04. Hong Pink Sheet Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Hong Kong stock prices and determine the direction of Hong Kong Exchanges's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Hong Kong's historical fundamentals, such as revenue growth or operating cash flow patterns.
Check out Historical Fundamental Analysis of Hong Kong to cross-verify your projections. Hong |
Most investors in Hong Kong cannot accurately predict what will happen the next trading day because, historically, stock markets tend to be unpredictable and even illogical. Modeling turbulent structures requires applying different statistical methods, techniques, and algorithms to find hidden data structures or patterns within the Hong Kong's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Hong Kong's price structures and extracts relationships that further increase the generated results' accuracy.
A naive forecasting model for Hong Kong is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of Hong Kong Exchanges value for a given trading day is simply the observed value for the previous period. Due to the simplistic nature of the naive forecasting model, it can only be used to forecast up to one period. Hong Kong Naive Prediction Price Forecast For the 1st of May
Given 90 days horizon, the Naive Prediction forecasted value of Hong Kong Exchanges on the next trading day is expected to be 32.85 with a mean absolute deviation of 0.49, mean absolute percentage error of 0.41, and the sum of the absolute errors of 30.04.Please note that although there have been many attempts to predict Hong 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 Hong Kong's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Hong Kong Pink Sheet Forecast Pattern
| Backtest Hong Kong | Hong Kong Price Prediction | Buy or Sell Advice |
Hong Kong Forecasted Value
In the context of forecasting Hong Kong'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. Hong Kong's downside and upside margins for the forecasting period are 30.50 and 35.20, respectively. We have considered Hong Kong'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 Naive Prediction forecasting method's relative quality and the estimations of the prediction error of Hong Kong pink sheet data series using in forecasting. Note that when a statistical model is used to represent Hong Kong 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 | 117.2228 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.4925 |
| MAPE | Mean absolute percentage error | 0.0164 |
| SAE | Sum of the absolute errors | 30.0424 |
Predictive Modules for Hong Kong
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Hong Kong Exchanges. 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.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Hong Kong's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Other Forecasting Options for Hong Kong
For every potential investor in Hong, whether a beginner or expert, Hong Kong's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Hong Pink Sheet price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Hong. Basic forecasting techniques help filter out the noise by identifying Hong Kong's price trends.Hong Kong 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 Hong Kong pink sheet to make a market-neutral strategy. Peer analysis of Hong Kong could also be used in its relative valuation, which is a method of valuing Hong Kong by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Hong Kong Exchanges Technical and Predictive Analytics
The pink sheet market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Hong Kong's price movements, a comprehensive understanding of forecasting methods that an investor can rely on to make the right move is invaluable. These methods predict trends that assist an investor in predicting the movement of Hong Kong's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Hong Kong Market Strength Events
Market strength indicators help investors to evaluate how Hong Kong 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 Hong Kong shares will generate the highest return on investment. By undertsting and applying Hong Kong pink sheet market strength indicators, traders can identify Hong Kong Exchanges entry and exit signals to maximize returns.
Hong Kong Risk Indicators
The analysis of Hong Kong'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 Hong Kong's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting hong 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 | 1.55 | |||
| Semi Deviation | 2.19 | |||
| Standard Deviation | 2.42 | |||
| Variance | 5.88 | |||
| Downside Variance | 11.64 | |||
| Semi Variance | 4.82 | |||
| Expected Short fall | (2.18) |
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.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Hong Kong in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Hong Kong's short interest history, or implied volatility extrapolated from Hong Kong options trading.
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Try AI Portfolio ArchitectCheck out Historical Fundamental Analysis of Hong Kong to cross-verify your projections. Note that the Hong Kong Exchanges information on this page should be used as a complementary analysis to other Hong Kong's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Piotroski F Score module to get Piotroski F Score based on the binary analysis strategy of nine different fundamentals.
Complementary Tools for Hong Pink Sheet analysis
When running Hong Kong's price analysis, check to measure Hong Kong's 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 Hong Kong is operating at the current time. Most of Hong Kong's value examination focuses on studying past and present price action to predict the probability of Hong Kong's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Hong Kong's price. Additionally, you may evaluate how the addition of Hong Kong to your portfolios can decrease your overall portfolio volatility.
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