Sumitomo Rubber Stock Forecast - Polynomial Regression

108 Stock  EUR 10.90  0.10  0.93%   
The Polynomial Regression forecasted value of Sumitomo Rubber Industries on the next trading day is expected to be 10.58 with a mean absolute deviation of 0.22 and the sum of the absolute errors of 13.68. Sumitomo Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Sumitomo Rubber's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
Sumitomo Rubber polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Sumitomo Rubber Industries as well as the accuracy indicators are determined from the period prices.

Sumitomo Rubber Polynomial Regression Price Forecast For the 21st of December

Given 90 days horizon, the Polynomial Regression forecasted value of Sumitomo Rubber Industries on the next trading day is expected to be 10.58 with a mean absolute deviation of 0.22, mean absolute percentage error of 0.08, and the sum of the absolute errors of 13.68.
Please note that although there have been many attempts to predict Sumitomo 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 Sumitomo Rubber's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Sumitomo Rubber Stock Forecast Pattern

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Sumitomo Rubber Forecasted Value

In the context of forecasting Sumitomo Rubber'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. Sumitomo Rubber's downside and upside margins for the forecasting period are 8.32 and 12.84, respectively. We have considered Sumitomo Rubber'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
10.90
10.58
Expected Value
12.84
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 Sumitomo Rubber stock data series using in forecasting. Note that when a statistical model is used to represent Sumitomo Rubber 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 Criteria115.5418
BiasArithmetic mean of the errors None
MADMean absolute deviation0.2243
MAPEMean absolute percentage error0.0228
SAESum of the absolute errors13.6834
A single variable polynomial regression model attempts to put a curve through the Sumitomo Rubber 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 Sumitomo Rubber

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Sumitomo Rubber Indu. 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.
Hype
Prediction
LowEstimatedHigh
8.5410.8013.06
Details
Intrinsic
Valuation
LowRealHigh
6.418.6710.93
Details

Other Forecasting Options for Sumitomo Rubber

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

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

Sumitomo Rubber Indu 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 Sumitomo Rubber'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 Sumitomo Rubber's current price.

Sumitomo Rubber Market Strength Events

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

Sumitomo Rubber Risk Indicators

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

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Other Information on Investing in Sumitomo Stock

Sumitomo Rubber financial ratios help investors to determine whether Sumitomo Stock 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 Sumitomo with respect to the benefits of owning Sumitomo Rubber security.