US Bancorp Stock Forecast - Simple Moving Average

USB Stock  MXN 1,016  0.00  0.00%   
The Simple Moving Average forecasted value of US Bancorp on the next trading day is expected to be 1,016 with a mean absolute deviation of 10.06 and the sum of the absolute errors of 593.73. USB Stock Forecast is based on your current time horizon.
  
A two period moving average forecast for US Bancorp 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.

US Bancorp Simple Moving Average Price Forecast For the 28th of November

Given 90 days horizon, the Simple Moving Average forecasted value of US Bancorp on the next trading day is expected to be 1,016 with a mean absolute deviation of 10.06, mean absolute percentage error of 537.39, and the sum of the absolute errors of 593.73.
Please note that although there have been many attempts to predict USB 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 US Bancorp's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

US Bancorp Stock Forecast Pattern

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US Bancorp Forecasted Value

In the context of forecasting US Bancorp'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. US Bancorp's downside and upside margins for the forecasting period are 1,013 and 1,018, respectively. We have considered US Bancorp'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
1,016
1,016
Expected Value
1,018
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 US Bancorp stock data series using in forecasting. Note that when a statistical model is used to represent US Bancorp 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 Criteria120.7215
BiasArithmetic mean of the errors -2.6481
MADMean absolute deviation10.0632
MAPEMean absolute percentage error0.0107
SAESum of the absolute errors593.73
The simple moving average model is conceptually a linear regression of the current value of US Bancorp price series against current and previous (unobserved) value of US Bancorp. 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 US Bancorp

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as US Bancorp. 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
1,0131,0161,018
Details
Intrinsic
Valuation
LowRealHigh
819.96822.241,117
Details
Bollinger
Band Projection (param)
LowMiddleHigh
1,0161,0161,016
Details

Other Forecasting Options for US Bancorp

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

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

US Bancorp 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 US Bancorp'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 US Bancorp's current price.

US Bancorp Market Strength Events

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

US Bancorp Risk Indicators

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

Also Currently Popular

Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.

Additional Tools for USB Stock Analysis

When running US Bancorp's price analysis, check to measure US Bancorp's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy US Bancorp is operating at the current time. Most of US Bancorp's value examination focuses on studying past and present price action to predict the probability of US Bancorp's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move US Bancorp's price. Additionally, you may evaluate how the addition of US Bancorp to your portfolios can decrease your overall portfolio volatility.