Sun Hung Pink Sheet Forecast - Simple Regression

SUHJY Stock  USD 11.01  0.09  0.81%   
The Simple Regression forecasted value of Sun Hung Kai on the next trading day is expected to be 11.62 with a mean absolute deviation of 0.26 and the sum of the absolute errors of 16.22. Sun Pink Sheet Forecast is based on your current time horizon.
  
Simple Regression model is a single variable regression model that attempts to put a straight line through Sun Hung 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.

Sun Hung Simple Regression Price Forecast For the 31st of October

Given 90 days horizon, the Simple Regression forecasted value of Sun Hung Kai on the next trading day is expected to be 11.62 with a mean absolute deviation of 0.26, mean absolute percentage error of 0.13, and the sum of the absolute errors of 16.22.
Please note that although there have been many attempts to predict Sun 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 Sun Hung's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Sun Hung Pink Sheet Forecast Pattern

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Sun Hung Forecasted Value

In the context of forecasting Sun Hung'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. Sun Hung's downside and upside margins for the forecasting period are 9.51 and 13.73, respectively. We have considered Sun Hung'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
11.01
11.62
Expected Value
13.73
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 Sun Hung pink sheet data series using in forecasting. Note that when a statistical model is used to represent Sun Hung 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 Criteria117.9224
BiasArithmetic mean of the errors None
MADMean absolute deviation0.2615
MAPEMean absolute percentage error0.0245
SAESum of the absolute errors16.2158
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 Sun Hung Kai 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 Sun Hung

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Sun Hung Kai. 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 Sun Hung'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
8.8010.8912.98
Details
Intrinsic
Valuation
LowRealHigh
6.798.8810.97
Details
Bollinger
Band Projection (param)
LowMiddleHigh
11.0311.0311.03
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Sun Hung. Your research has to be compared to or analyzed against Sun Hung's peers to derive any actionable benefits. When done correctly, Sun Hung'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 Sun Hung Kai.

Other Forecasting Options for Sun Hung

For every potential investor in Sun, whether a beginner or expert, Sun Hung's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Sun Pink Sheet price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Sun. Basic forecasting techniques help filter out the noise by identifying Sun Hung's price trends.

Sun Hung 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 Sun Hung pink sheet to make a market-neutral strategy. Peer analysis of Sun Hung could also be used in its relative valuation, which is a method of valuing Sun Hung by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

Sun Hung Kai 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 Sun Hung'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 Sun Hung's current price.

Sun Hung Market Strength Events

Market strength indicators help investors to evaluate how Sun Hung 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 Sun Hung shares will generate the highest return on investment. By undertsting and applying Sun Hung pink sheet market strength indicators, traders can identify Sun Hung Kai entry and exit signals to maximize returns.

Sun Hung Risk Indicators

The analysis of Sun Hung'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 Sun Hung's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting sun 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.

Also Currently Popular

Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.

Additional Tools for Sun Pink Sheet Analysis

When running Sun Hung's price analysis, check to measure Sun Hung'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 Sun Hung is operating at the current time. Most of Sun Hung's value examination focuses on studying past and present price action to predict the probability of Sun Hung's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Sun Hung's price. Additionally, you may evaluate how the addition of Sun Hung to your portfolios can decrease your overall portfolio volatility.