Barrett Business Stock Forecast - Triple Exponential Smoothing
| BB1 Stock | EUR 41.00 0.40 0.99% |
The Triple Exponential Smoothing forecasted value of Barrett Business Services on the next trading day is expected to be 41.14 with a mean absolute deviation of 0.48 and the sum of the absolute errors of 28.34. Barrett Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Barrett Business' historical fundamentals, such as revenue growth or operating cash flow patterns.
Barrett |
Barrett Business Triple Exponential Smoothing Price Forecast For the 17th of December 2024
Given 90 days horizon, the Triple Exponential Smoothing forecasted value of Barrett Business Services on the next trading day is expected to be 41.14 with a mean absolute deviation of 0.48, mean absolute percentage error of 0.43, and the sum of the absolute errors of 28.34.Please note that although there have been many attempts to predict Barrett 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 Barrett Business' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Barrett Business Stock Forecast Pattern
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Barrett Business Forecasted Value
In the context of forecasting Barrett Business' 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. Barrett Business' downside and upside margins for the forecasting period are 39.46 and 42.81, respectively. We have considered Barrett Business' 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 Triple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Barrett Business stock data series using in forecasting. Note that when a statistical model is used to represent Barrett Business 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 | Huge |
| Bias | Arithmetic mean of the errors | -0.0771 |
| MAD | Mean absolute deviation | 0.4804 |
| MAPE | Mean absolute percentage error | 0.0131 |
| SAE | Sum of the absolute errors | 28.3431 |
Predictive Modules for Barrett Business
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Barrett Business Services. 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 Barrett Business
For every potential investor in Barrett, whether a beginner or expert, Barrett Business' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Barrett Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Barrett. Basic forecasting techniques help filter out the noise by identifying Barrett Business' price trends.Barrett Business 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 Barrett Business stock to make a market-neutral strategy. Peer analysis of Barrett Business could also be used in its relative valuation, which is a method of valuing Barrett Business by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Barrett Business Services 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 Barrett Business' 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 Barrett Business' current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Barrett Business Market Strength Events
Market strength indicators help investors to evaluate how Barrett Business stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Barrett Business shares will generate the highest return on investment. By undertsting and applying Barrett Business stock market strength indicators, traders can identify Barrett Business Services entry and exit signals to maximize returns.
| Daily Balance Of Power | 9.2 T | |||
| Rate Of Daily Change | 1.01 | |||
| Day Median Price | 41.0 | |||
| Day Typical Price | 41.0 | |||
| Price Action Indicator | 0.2 | |||
| Period Momentum Indicator | 0.4 |
Barrett Business Risk Indicators
The analysis of Barrett Business' 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 Barrett Business' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting barrett 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 | 1.2 | |||
| Semi Deviation | 0.9527 | |||
| Standard Deviation | 1.67 | |||
| Variance | 2.8 | |||
| Downside Variance | 1.72 | |||
| Semi Variance | 0.9077 | |||
| Expected Short fall | (1.58) |
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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Additional Information and Resources on Investing in Barrett Stock
When determining whether Barrett Business Services offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Barrett Business' 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 Barrett Business Services Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Barrett Business Services Stock:Check out Historical Fundamental Analysis of Barrett Business to cross-verify your projections. You can also try the Transaction History module to view history of all your transactions and understand their impact on performance.