Marubeni Pink Sheet Forecast - Simple Regression

MARUF Stock  USD 16.38  1.03  6.71%   
The Simple Regression forecasted value of Marubeni on the next trading day is expected to be 15.65 with a mean absolute deviation of 0.55 and the sum of the absolute errors of 33.58. Marubeni Pink Sheet Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Marubeni's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
Simple Regression model is a single variable regression model that attempts to put a straight line through Marubeni 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.

Marubeni Simple Regression Price Forecast For the 24th of November

Given 90 days horizon, the Simple Regression forecasted value of Marubeni on the next trading day is expected to be 15.65 with a mean absolute deviation of 0.55, mean absolute percentage error of 0.45, and the sum of the absolute errors of 33.58.
Please note that although there have been many attempts to predict Marubeni 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 Marubeni's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Marubeni Pink Sheet Forecast Pattern

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Marubeni Forecasted Value

In the context of forecasting Marubeni'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. Marubeni's downside and upside margins for the forecasting period are 11.47 and 19.82, respectively. We have considered Marubeni'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
16.38
15.65
Expected Value
19.82
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 Marubeni pink sheet data series using in forecasting. Note that when a statistical model is used to represent Marubeni 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 Criteria117.3067
BiasArithmetic mean of the errors None
MADMean absolute deviation0.5506
MAPEMean absolute percentage error0.035
SAESum of the absolute errors33.5844
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 Marubeni 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 Marubeni

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Marubeni. 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 Marubeni'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
12.2116.3820.55
Details
Intrinsic
Valuation
LowRealHigh
9.3013.4717.64
Details
Bollinger
Band Projection (param)
LowMiddleHigh
15.0716.0417.01
Details

Other Forecasting Options for Marubeni

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

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

Marubeni 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 Marubeni'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 Marubeni's current price.

Marubeni Market Strength Events

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

Marubeni Risk Indicators

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

Other Information on Investing in Marubeni Pink Sheet

Marubeni financial ratios help investors to determine whether Marubeni 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 Marubeni with respect to the benefits of owning Marubeni security.