DigiCom Berhad OTC Stock Forecast - Polynomial Regression

DIGBFDelisted Stock  USD 0.75  0.00  0.00%   
The Polynomial Regression forecasted value of DigiCom Berhad on the next trading day is expected to be 0.76 with a mean absolute deviation of 0 and the sum of the absolute errors of 0.29. DigiCom OTC Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of DigiCom Berhad's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
DigiCom Berhad polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for DigiCom Berhad as well as the accuracy indicators are determined from the period prices.

DigiCom Berhad Polynomial Regression Price Forecast For the 21st of December

Given 90 days horizon, the Polynomial Regression forecasted value of DigiCom Berhad on the next trading day is expected to be 0.76 with a mean absolute deviation of 0, mean absolute percentage error of 0.000038, and the sum of the absolute errors of 0.29.
Please note that although there have been many attempts to predict DigiCom OTC Stock 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 DigiCom Berhad's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

DigiCom Berhad OTC Stock Forecast Pattern

Backtest DigiCom BerhadDigiCom Berhad Price PredictionBuy or Sell Advice 

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 DigiCom Berhad otc stock data series using in forecasting. Note that when a statistical model is used to represent DigiCom Berhad otc stock, 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 Criteria107.928
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0047
MAPEMean absolute percentage error0.0064
SAESum of the absolute errors0.2875
A single variable polynomial regression model attempts to put a curve through the DigiCom Berhad 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 DigiCom Berhad

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as DigiCom Berhad. Regardless of method or technology, however, to accurately forecast the otc stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the otc stock 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
0.750.750.75
Details
Intrinsic
Valuation
LowRealHigh
0.630.630.83
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as DigiCom Berhad. Your research has to be compared to or analyzed against DigiCom Berhad's peers to derive any actionable benefits. When done correctly, DigiCom Berhad'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 DigiCom Berhad.

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

DigiCom Berhad Market Strength Events

Market strength indicators help investors to evaluate how DigiCom Berhad otc stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading DigiCom Berhad shares will generate the highest return on investment. By undertsting and applying DigiCom Berhad otc stock market strength indicators, traders can identify DigiCom Berhad entry and exit signals to maximize returns.

DigiCom Berhad Risk Indicators

The analysis of DigiCom Berhad'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 DigiCom Berhad's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting digicom otc stock 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.

Currently Active Assets on Macroaxis

Check out Investing Opportunities to better understand how to build diversified portfolios. Also, note that the market value of any otc stock could be closely tied with the direction of predictive economic indicators such as signals in bureau of labor statistics.
Note that the DigiCom Berhad information on this page should be used as a complementary analysis to other DigiCom Berhad'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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.

Other Consideration for investing in DigiCom OTC Stock

If you are still planning to invest in DigiCom Berhad check if it may still be traded through OTC markets such as Pink Sheets or OTC Bulletin Board. You may also purchase it directly from the company, but this is not always possible and may require contacting the company directly. Please note that delisted stocks are often considered to be more risky investments, as they are no longer subject to the same regulatory and reporting requirements as listed stocks. Therefore, it is essential to carefully research the DigiCom Berhad's history and understand the potential risks before investing.
Volatility Analysis
Get historical volatility and risk analysis based on latest market data
Portfolio Rebalancing
Analyze risk-adjusted returns against different time horizons to find asset-allocation targets
Sync Your Broker
Sync your existing holdings, watchlists, positions or portfolios from thousands of online brokerage services, banks, investment account aggregators and robo-advisors.
Insider Screener
Find insiders across different sectors to evaluate their impact on performance
My Watchlist Analysis
Analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like
Idea Analyzer
Analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas
Alpha Finder
Use alpha and beta coefficients to find investment opportunities after accounting for the risk
Watchlist Optimization
Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm
Headlines Timeline
Stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity