DCC Plc Pink Sheet Forecast - Polynomial Regression

DCCPFDelisted Stock  USD 64.50  0.00  0.00%   
The Polynomial Regression forecasted value of DCC Plc on the next trading day is expected to be 65.39 with a mean absolute deviation of 0.42 and the sum of the absolute errors of 25.53. DCC Pink Sheet Forecast is based on your current time horizon. We recommend always using this module together with an analysis of DCC Plc's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
DCC Plc polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for DCC Plc as well as the accuracy indicators are determined from the period prices.

DCC Plc Polynomial Regression Price Forecast For the 27th of December

Given 90 days horizon, the Polynomial Regression forecasted value of DCC Plc on the next trading day is expected to be 65.39 with a mean absolute deviation of 0.42, mean absolute percentage error of 0.30, and the sum of the absolute errors of 25.53.
Please note that although there have been many attempts to predict DCC 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 DCC Plc's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

DCC Plc Pink Sheet Forecast Pattern

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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 DCC Plc pink sheet data series using in forecasting. Note that when a statistical model is used to represent DCC Plc 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 Criteria116.9059
BiasArithmetic mean of the errors None
MADMean absolute deviation0.4186
MAPEMean absolute percentage error0.0065
SAESum of the absolute errors25.5325
A single variable polynomial regression model attempts to put a curve through the DCC Plc 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 DCC Plc

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as DCC Plc. 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
64.2364.5064.77
Details
Intrinsic
Valuation
LowRealHigh
54.2454.5170.95
Details
Bollinger
Band Projection (param)
LowMiddleHigh
63.0264.5466.06
Details

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

DCC Plc Market Strength Events

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

DCC Plc Risk Indicators

The analysis of DCC Plc'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 DCC Plc's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting dcc 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.

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 company could be closely tied with the direction of predictive economic indicators such as signals in employment.
You can also try the Investing Opportunities module to build portfolios using our predefined set of ideas and optimize them against your investing preferences.

Other Consideration for investing in DCC Pink Sheet

If you are still planning to invest in DCC Plc 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 DCC Plc's history and understand the potential risks before investing.
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