Telekom Malaysia Pink Sheet Forecast - Polynomial Regression
| MYTEF Stock | USD 1.06 0.00 0.00% |
The Polynomial Regression forecasted value of Telekom Malaysia Berhad on the next trading day is expected to be 1.03 with a mean absolute deviation of 0.01 and the sum of the absolute errors of 0.81. Telekom Pink Sheet Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Telekom Malaysia stock prices and determine the direction of Telekom Malaysia Berhad's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Telekom Malaysia's historical fundamentals, such as revenue growth or operating cash flow patterns.
Check out Historical Fundamental Analysis of Telekom Malaysia to cross-verify your projections. Telekom |
Most investors in Telekom Malaysia 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 Telekom Malaysia's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Telekom Malaysia's price structures and extracts relationships that further increase the generated results' accuracy.
Telekom Malaysia polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Telekom Malaysia Berhad as well as the accuracy indicators are determined from the period prices. Telekom Malaysia Polynomial Regression Price Forecast For the 4th of May
Given 90 days horizon, the Polynomial Regression forecasted value of Telekom Malaysia Berhad on the next trading day is expected to be 1.03 with a mean absolute deviation of 0.01, mean absolute percentage error of 0.0003, and the sum of the absolute errors of 0.81.Please note that although there have been many attempts to predict Telekom 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 Telekom Malaysia's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Telekom Malaysia Pink Sheet Forecast Pattern
| Backtest Telekom Malaysia | Telekom Malaysia Price Prediction | Buy or Sell Advice |
Telekom Malaysia Forecasted Value
In the context of forecasting Telekom Malaysia'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. Telekom Malaysia's downside and upside margins for the forecasting period are 0.01 and 2.55, respectively. We have considered Telekom Malaysia'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 Polynomial Regression forecasting method's relative quality and the estimations of the prediction error of Telekom Malaysia pink sheet data series using in forecasting. Note that when a statistical model is used to represent Telekom Malaysia 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 | 110.0575 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.0134 |
| MAPE | Mean absolute percentage error | 0.0136 |
| SAE | Sum of the absolute errors | 0.8145 |
Predictive Modules for Telekom Malaysia
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Telekom Malaysia Berhad. 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 Telekom Malaysia'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 Telekom Malaysia
For every potential investor in Telekom, whether a beginner or expert, Telekom Malaysia's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Telekom Pink Sheet price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Telekom. Basic forecasting techniques help filter out the noise by identifying Telekom Malaysia's price trends.Telekom Malaysia 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 Telekom Malaysia pink sheet to make a market-neutral strategy. Peer analysis of Telekom Malaysia could also be used in its relative valuation, which is a method of valuing Telekom Malaysia by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Telekom Malaysia Berhad 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 Telekom Malaysia'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 Telekom Malaysia's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Telekom Malaysia Market Strength Events
Market strength indicators help investors to evaluate how Telekom Malaysia 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 Telekom Malaysia shares will generate the highest return on investment. By undertsting and applying Telekom Malaysia pink sheet market strength indicators, traders can identify Telekom Malaysia Berhad entry and exit signals to maximize returns.
Telekom Malaysia Risk Indicators
The analysis of Telekom Malaysia'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 Telekom Malaysia's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting telekom 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 | 0.4684 | |||
| Standard Deviation | 1.48 | |||
| Variance | 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 Telekom Malaysia 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, Telekom Malaysia's short interest history, or implied volatility extrapolated from Telekom Malaysia options trading.
Building efficient market-beating portfolios requires time, education, and a lot of computing power!
The Portfolio Architect is an AI-driven system that provides multiple benefits to our users by leveraging cutting-edge machine learning algorithms, statistical analysis, and predictive modeling to automate the process of asset selection and portfolio construction, saving time and reducing human error for individual and institutional investors.
Try AI Portfolio ArchitectCheck out Historical Fundamental Analysis of Telekom Malaysia to cross-verify your projections. Note that the Telekom Malaysia Berhad information on this page should be used as a complementary analysis to other Telekom Malaysia'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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
Complementary Tools for Telekom Pink Sheet analysis
When running Telekom Malaysia's price analysis, check to measure Telekom Malaysia'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 Telekom Malaysia is operating at the current time. Most of Telekom Malaysia's value examination focuses on studying past and present price action to predict the probability of Telekom Malaysia's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Telekom Malaysia's price. Additionally, you may evaluate how the addition of Telekom Malaysia to your portfolios can decrease your overall portfolio volatility.
| Companies Directory Evaluate performance of over 100,000 Stocks, Funds, and ETFs against different fundamentals | |
| Pattern Recognition Use different Pattern Recognition models to time the market across multiple global exchanges | |
| Economic Indicators Top statistical indicators that provide insights into how an economy is performing | |
| Portfolio File Import Quickly import all of your third-party portfolios from your local drive in csv format | |
| Sync Your Broker Sync your existing holdings, watchlists, positions or portfolios from thousands of online brokerage services, banks, investment account aggregators and robo-advisors. | |
| Funds Screener Find actively-traded funds from around the world traded on over 30 global exchanges | |
| Earnings Calls Check upcoming earnings announcements updated hourly across public exchanges | |
| Portfolio Manager State of the art Portfolio Manager to monitor and improve performance of your invested capital | |
| FinTech Suite Use AI to screen and filter profitable investment opportunities | |
| Portfolio Comparator Compare the composition, asset allocations and performance of any two portfolios in your account |