U Media Stock Forecast - Polynomial Regression

6470 Stock   54.90  0.10  0.18%   
The Polynomial Regression forecasted value of U Media Communications on the next trading day is expected to be 55.10 with a mean absolute deviation of  0.92  and the sum of the absolute errors of 55.95. 6470 Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast U Media stock prices and determine the direction of U Media Communications's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of U Media's historical fundamentals, such as revenue growth or operating cash flow patterns.
Check out Historical Fundamental Analysis of U Media to cross-verify your projections.
  
Most investors in U Media 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 U Media's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets U Media's price structures and extracts relationships that further increase the generated results' accuracy.
U Media polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for U Media Communications as well as the accuracy indicators are determined from the period prices.

U Media Polynomial Regression Price Forecast For the 30th of April

Given 90 days horizon, the Polynomial Regression forecasted value of U Media Communications on the next trading day is expected to be 55.10 with a mean absolute deviation of 0.92, mean absolute percentage error of 1.81, and the sum of the absolute errors of 55.95.
Please note that although there have been many attempts to predict 6470 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 U Media's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

U Media Stock Forecast Pattern

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U Media Forecasted Value

In the context of forecasting U Media's Stock 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. U Media's downside and upside margins for the forecasting period are 53.41 and 56.80, respectively. We have considered U Media'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
54.90
55.10
Expected Value
56.80
Upside

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 U Media stock data series using in forecasting. Note that when a statistical model is used to represent U Media 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 Criteria118.7026
BiasArithmetic mean of the errors None
MADMean absolute deviation0.9172
MAPEMean absolute percentage error0.0157
SAESum of the absolute errors55.9474
A single variable polynomial regression model attempts to put a curve through the U Media 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 U Media

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as U Media Communications. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the 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.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of U Media'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
53.2054.9056.60
Details
Intrinsic
Valuation
LowRealHigh
52.4354.1355.83
Details
Bollinger
Band Projection (param)
LowMiddleHigh
52.6257.0461.46
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as U Media. Your research has to be compared to or analyzed against U Media's peers to derive any actionable benefits. When done correctly, U Media'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 U Media Communications.

Other Forecasting Options for U Media

For every potential investor in 6470, whether a beginner or expert, U Media's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. 6470 Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in 6470. Basic forecasting techniques help filter out the noise by identifying U Media's price trends.

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

U Media Communications Technical and Predictive Analytics

The stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of U Media'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 U Media's current price.

U Media Market Strength Events

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

U Media Risk Indicators

The analysis of U Media'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 U Media's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting 6470 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.

Thematic Opportunities

Explore Investment Opportunities

Build portfolios using Macroaxis predefined set of investing ideas. Many of Macroaxis investing ideas can easily outperform a given market. Ideas can also be optimized per your risk profile before portfolio origination is invoked. Macroaxis thematic optimization helps investors identify companies most likely to benefit from changes or shifts in various micro-economic or local macro-level trends. Originating optimal thematic portfolios involves aligning investors' personal views, ideas, and beliefs with their actual investments.
Explore Thematic Ideas
Explore Investing Ideas  
Check out Historical Fundamental Analysis of U Media to cross-verify your projections.
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Please note, there is a significant difference between U Media's value and its price as these two are different measures arrived at by different means. Investors typically determine if U Media is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, U Media's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.