SUMITOMO P Stock Forecast - Simple Moving Average

SUMB Stock  EUR 19.90  0.40  2.05%   
The Simple Moving Average forecasted value of SUMITOMO P SP on the next trading day is expected to be 19.90 with a mean absolute deviation of 0.26 and the sum of the absolute errors of 15.35. SUMITOMO Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of SUMITOMO P's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
A two period moving average forecast for SUMITOMO P is based on an daily price series in which the stock price on a given day is replaced by the mean of that price and the preceding price. This model is best suited to price patterns experiencing average volatility.

SUMITOMO P Simple Moving Average Price Forecast For the 24th of November

Given 90 days horizon, the Simple Moving Average forecasted value of SUMITOMO P SP on the next trading day is expected to be 19.90 with a mean absolute deviation of 0.26, mean absolute percentage error of 0.10, and the sum of the absolute errors of 15.35.
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 P's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

SUMITOMO P Stock Forecast Pattern

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SUMITOMO P Forecasted Value

In the context of forecasting SUMITOMO P'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 P's downside and upside margins for the forecasting period are 18.41 and 21.39, respectively. We have considered SUMITOMO P'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
19.90
19.90
Expected Value
21.39
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Simple Moving Average forecasting method's relative quality and the estimations of the prediction error of SUMITOMO P stock data series using in forecasting. Note that when a statistical model is used to represent SUMITOMO P 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 Criteria114.016
BiasArithmetic mean of the errors 0.0292
MADMean absolute deviation0.2558
MAPEMean absolute percentage error0.0129
SAESum of the absolute errors15.35
The simple moving average model is conceptually a linear regression of the current value of SUMITOMO P SP price series against current and previous (unobserved) value of SUMITOMO P. In time series analysis, the simple moving-average model is a very common approach for modeling univariate price series models including forecasting prices into the future

Predictive Modules for SUMITOMO P

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 P SP. 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
18.4119.9021.39
Details
Intrinsic
Valuation
LowRealHigh
18.4919.9721.46
Details
Bollinger
Band Projection (param)
LowMiddleHigh
18.9919.7320.48
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as SUMITOMO P. Your research has to be compared to or analyzed against SUMITOMO P's peers to derive any actionable benefits. When done correctly, SUMITOMO P'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 SUMITOMO P SP.

Other Forecasting Options for SUMITOMO P

For every potential investor in SUMITOMO, whether a beginner or expert, SUMITOMO P'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 P's price trends.

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

SUMITOMO P SP 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 P'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 P's current price.

SUMITOMO P Market Strength Events

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

SUMITOMO P Risk Indicators

The analysis of SUMITOMO P'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 P'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.

Currently Active Assets on Macroaxis

Other Information on Investing in SUMITOMO Stock

SUMITOMO P 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 P security.