Singapore Telecommunicatio Pink Sheet Forecast - Polynomial Regression

SGAPY Stock  USD 22.33  0.26  1.15%   
The Polynomial Regression forecasted value of Singapore Telecommunications PK on the next trading day is expected to be 23.25 with a mean absolute deviation of 0.41 and the sum of the absolute errors of 25.27. Singapore Pink Sheet Forecast is based on your current time horizon.
  
Singapore Telecommunicatio polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Singapore Telecommunications PK as well as the accuracy indicators are determined from the period prices.

Singapore Telecommunicatio Polynomial Regression Price Forecast For the 28th of November

Given 90 days horizon, the Polynomial Regression forecasted value of Singapore Telecommunications PK on the next trading day is expected to be 23.25 with a mean absolute deviation of 0.41, mean absolute percentage error of 0.25, and the sum of the absolute errors of 25.27.
Please note that although there have been many attempts to predict Singapore 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 Singapore Telecommunicatio's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Singapore Telecommunicatio Pink Sheet Forecast Pattern

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Singapore Telecommunicatio Forecasted Value

In the context of forecasting Singapore Telecommunicatio'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. Singapore Telecommunicatio's downside and upside margins for the forecasting period are 21.87 and 24.62, respectively. We have considered Singapore Telecommunicatio'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
22.33
23.25
Expected Value
24.62
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Polynomial Regression forecasting method's relative quality and the estimations of the prediction error of Singapore Telecommunicatio pink sheet data series using in forecasting. Note that when a statistical model is used to represent Singapore Telecommunicatio 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 Criteria116.7071
BiasArithmetic mean of the errors None
MADMean absolute deviation0.4143
MAPEMean absolute percentage error0.0171
SAESum of the absolute errors25.2711
A single variable polynomial regression model attempts to put a curve through the Singapore Telecommunicatio historical price points. Mathematically, assuming the independent variable is X and the dependent variable is Y, this line can be indicated as: Y = a0 + a1*X + a2*X2 + a3*X3 + ... + am*Xm

Predictive Modules for Singapore Telecommunicatio

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Singapore Telecommunicatio. 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.
Hype
Prediction
LowEstimatedHigh
20.9522.3323.71
Details
Intrinsic
Valuation
LowRealHigh
19.3520.7324.56
Details
Bollinger
Band Projection (param)
LowMiddleHigh
22.4923.5624.63
Details

Other Forecasting Options for Singapore Telecommunicatio

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

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 Risk & Return  Correlation

Singapore Telecommunicatio 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 Singapore Telecommunicatio'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 Singapore Telecommunicatio's current price.

Singapore Telecommunicatio Market Strength Events

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

Singapore Telecommunicatio Risk Indicators

The analysis of Singapore Telecommunicatio'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 Singapore Telecommunicatio's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting singapore 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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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 Singapore Pink Sheet Analysis

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