Monarch Cement Pink Sheet Forecast - Simple Regression

MCEM Stock  USD 218.49  0.49  0.22%   
The Simple Regression forecasted value of The Monarch Cement on the next trading day is expected to be 214.41 with a mean absolute deviation of 5.33 and the sum of the absolute errors of 325.01. Monarch 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 Monarch Cement 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.

Monarch Cement Simple Regression Price Forecast For the 30th of November

Given 90 days horizon, the Simple Regression forecasted value of The Monarch Cement on the next trading day is expected to be 214.41 with a mean absolute deviation of 5.33, mean absolute percentage error of 41.58, and the sum of the absolute errors of 325.01.
Please note that although there have been many attempts to predict Monarch 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 Monarch Cement's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Monarch Cement Pink Sheet Forecast Pattern

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Monarch Cement Forecasted Value

In the context of forecasting Monarch Cement'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. Monarch Cement's downside and upside margins for the forecasting period are 212.29 and 216.54, respectively. We have considered Monarch Cement'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
218.49
212.29
Downside
214.41
Expected Value
216.54
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 Monarch Cement pink sheet data series using in forecasting. Note that when a statistical model is used to represent Monarch Cement 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 Criteria121.8382
BiasArithmetic mean of the errors None
MADMean absolute deviation5.3281
MAPEMean absolute percentage error0.0267
SAESum of the absolute errors325.0135
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 The Monarch Cement 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 Monarch Cement

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Monarch Cement. 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 Monarch Cement'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
216.36218.49220.62
Details
Intrinsic
Valuation
LowRealHigh
196.64226.66228.79
Details

Other Forecasting Options for Monarch Cement

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

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

Monarch Cement 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 Monarch Cement'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 Monarch Cement's current price.

Monarch Cement Market Strength Events

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

Monarch Cement Risk Indicators

The analysis of Monarch Cement'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 Monarch Cement's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting monarch 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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Other Information on Investing in Monarch Pink Sheet

Monarch Cement financial ratios help investors to determine whether Monarch Pink Sheet is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Monarch with respect to the benefits of owning Monarch Cement security.