United Rentals Stock Forecast - Naive Prediction
| U1RI34 Stock | BRL 180.54 5.68 3.25% |
The Naive Prediction forecasted value of United Rentals on the next trading day is expected to be 177.69 with a mean absolute deviation of 3.59 and the sum of the absolute errors of 219.24. United Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast United Rentals stock prices and determine the direction of United Rentals's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of United Rentals' historical fundamentals, such as revenue growth or operating cash flow patterns.
United |
United Rentals Naive Prediction Price Forecast For the 27th of November
Given 90 days horizon, the Naive Prediction forecasted value of United Rentals on the next trading day is expected to be 177.69 with a mean absolute deviation of 3.59, mean absolute percentage error of 20.45, and the sum of the absolute errors of 219.24.Please note that although there have been many attempts to predict United 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 United Rentals' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
United Rentals Stock Forecast Pattern
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United Rentals Forecasted Value
In the context of forecasting United Rentals' 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. United Rentals' downside and upside margins for the forecasting period are 175.10 and 180.27, respectively. We have considered United Rentals' 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.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Naive Prediction forecasting method's relative quality and the estimations of the prediction error of United Rentals stock data series using in forecasting. Note that when a statistical model is used to represent United Rentals 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.| AIC | Akaike Information Criteria | 121.1287 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 3.5942 |
| MAPE | Mean absolute percentage error | 0.0223 |
| SAE | Sum of the absolute errors | 219.2438 |
Predictive Modules for United Rentals
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as United Rentals. 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.Other Forecasting Options for United Rentals
For every potential investor in United, whether a beginner or expert, United Rentals' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. United Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in United. Basic forecasting techniques help filter out the noise by identifying United Rentals' price trends.United Rentals 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 United Rentals stock to make a market-neutral strategy. Peer analysis of United Rentals could also be used in its relative valuation, which is a method of valuing United Rentals by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
United Rentals 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 United Rentals' 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 United Rentals' current price.| Cycle Indicators | ||
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| Overlap Studies | ||
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| Volume Indicators |
United Rentals Market Strength Events
Market strength indicators help investors to evaluate how United Rentals stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading United Rentals shares will generate the highest return on investment. By undertsting and applying United Rentals stock market strength indicators, traders can identify United Rentals entry and exit signals to maximize returns.
United Rentals Risk Indicators
The analysis of United Rentals' 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 United Rentals' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting united 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.
| Mean Deviation | 1.73 | |||
| Semi Deviation | 2.31 | |||
| Standard Deviation | 2.54 | |||
| Variance | 6.47 | |||
| Downside Variance | 7.54 | |||
| Semi Variance | 5.33 | |||
| Expected Short fall | (1.82) |
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 Information and Resources on Investing in United Stock
When determining whether United Rentals offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of United Rentals' financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of United Rentals Stock. Outlined below are crucial reports that will aid in making a well-informed decision on United Rentals Stock:Check out Historical Fundamental Analysis of United Rentals to cross-verify your projections. For information on how to trade United Stock refer to our How to Trade United Stock guide.You can also try the ETFs module to find actively traded Exchange Traded Funds (ETF) from around the world.