Hang Lung Pink Sheet Forecast - Simple Regression

HLPPF Stock  USD 1.02  0.00  0.00%   
The Simple Regression forecasted value of Hang Lung Properties on the next trading day is expected to be 0.95 with a mean absolute deviation of  0.06  and the sum of the absolute errors of 3.43. Hang Pink Sheet Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Hang Lung stock prices and determine the direction of Hang Lung Properties's future trends based on various well-known forecasting models. 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.
Check out Historical Fundamental Analysis of Hang Lung to cross-verify your projections.
  
Most investors in Hang Lung 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 Hang Lung's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Hang Lung's price structures and extracts relationships that further increase the generated results' accuracy.
Simple Regression model is a single variable regression model that attempts to put a straight line through Hang Lung price points. This line is defined by its gradient or slope, and the point at which it intercepts the x-axis. Mathematically, assuming the independent variable is X and the dependent variable is Y, then this line can be represented as: Y = intercept + slope * X.

Hang Lung Simple Regression Price Forecast For the 19th of April

Given 90 days horizon, the Simple Regression forecasted value of Hang Lung Properties on the next trading day is expected to be 0.95 with a mean absolute deviation of 0.06, mean absolute percentage error of 0, and the sum of the absolute errors of 3.43.
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

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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 2.67, 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.
Market Value
1.02
0.95
Expected Value
2.67
Upside

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.
AICAkaike Information Criteria112.6583
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0562
MAPEMean absolute percentage error0.0506
SAESum of the absolute errors3.4307
In general, regression methods applied to historical equity returns or prices series is an area of active research. In recent decades, new methods have been developed for robust regression of price series such as Hang Lung Properties historical returns. These new methods are regression involving correlated responses such as growth curves and different regression methods accommodating various types of missing data.

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.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Hang Lung'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.
Hype
Prediction
LowEstimatedHigh
0.051.022.74
Details
Intrinsic
Valuation
LowRealHigh
0.050.922.64
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Hang Lung. Your research has to be compared to or analyzed against Hang Lung's peers to derive any actionable benefits. When done correctly, Hang Lung's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Hang Lung Properties.

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 Properties 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 Hang Lung'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 Hang Lung's current price.

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.
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.

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Check out Historical Fundamental Analysis of Hang Lung to cross-verify your projections.
You can also try the Latest Portfolios module to quick portfolio dashboard that showcases your latest portfolios.

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When running Hang Lung's price analysis, check to measure Hang Lung'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 Hang Lung is operating at the current time. Most of Hang Lung's value examination focuses on studying past and present price action to predict the probability of Hang Lung's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Hang Lung's price. Additionally, you may evaluate how the addition of Hang Lung to your portfolios can decrease your overall portfolio volatility.
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Please note, there is a significant difference between Hang Lung's value and its price as these two are different measures arrived at by different means. Investors typically determine if Hang Lung is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Hang Lung's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.