Affiliated Managers Stock Forecast - Polynomial Regression
| AMG Stock | USD 188.46 0.79 0.42% |
The Polynomial Regression forecasted value of Affiliated Managers Group on the next trading day is expected to be 184.25 with a mean absolute deviation of 3.58 and the sum of the absolute errors of 221.84. Affiliated Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Affiliated Managers' historical fundamentals, such as revenue growth or operating cash flow patterns.
Affiliated |
Affiliated Managers Polynomial Regression Price Forecast For the 29th of November
Given 90 days horizon, the Polynomial Regression forecasted value of Affiliated Managers Group on the next trading day is expected to be 184.25 with a mean absolute deviation of 3.58, mean absolute percentage error of 18.68, and the sum of the absolute errors of 221.84.Please note that although there have been many attempts to predict Affiliated 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 Affiliated Managers' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Affiliated Managers Stock Forecast Pattern
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Affiliated Managers Forecasted Value
In the context of forecasting Affiliated Managers' 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. Affiliated Managers' downside and upside margins for the forecasting period are 182.46 and 186.04, respectively. We have considered Affiliated Managers' 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 Polynomial Regression forecasting method's relative quality and the estimations of the prediction error of Affiliated Managers stock data series using in forecasting. Note that when a statistical model is used to represent Affiliated Managers 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 | 122.8761 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 3.5781 |
| MAPE | Mean absolute percentage error | 0.0196 |
| SAE | Sum of the absolute errors | 221.8441 |
Predictive Modules for Affiliated Managers
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Affiliated Managers. 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 Affiliated Managers
For every potential investor in Affiliated, whether a beginner or expert, Affiliated Managers' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Affiliated Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Affiliated. Basic forecasting techniques help filter out the noise by identifying Affiliated Managers' price trends.Affiliated Managers 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 Affiliated Managers stock to make a market-neutral strategy. Peer analysis of Affiliated Managers could also be used in its relative valuation, which is a method of valuing Affiliated Managers by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Affiliated Managers 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 Affiliated Managers' 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 Affiliated Managers' current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Affiliated Managers Market Strength Events
Market strength indicators help investors to evaluate how Affiliated Managers stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Affiliated Managers shares will generate the highest return on investment. By undertsting and applying Affiliated Managers stock market strength indicators, traders can identify Affiliated Managers Group entry and exit signals to maximize returns.
| Accumulation Distribution | 2230.17 | |||
| Daily Balance Of Power | (0.20) | |||
| Rate Of Daily Change | 1.0 | |||
| Day Median Price | 189.19 | |||
| Day Typical Price | 188.95 | |||
| Price Action Indicator | (1.12) | |||
| Period Momentum Indicator | (0.79) |
Affiliated Managers Risk Indicators
The analysis of Affiliated Managers' 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 Affiliated Managers' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting affiliated 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 | 1.17 | |||
| Semi Deviation | 1.92 | |||
| Standard Deviation | 1.76 | |||
| Variance | 3.08 | |||
| Downside Variance | 4.26 | |||
| Semi Variance | 3.67 | |||
| Expected Short fall | (1.16) |
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
When determining whether Affiliated Managers is a strong investment it is important to analyze Affiliated Managers' competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact Affiliated Managers' future performance. For an informed investment choice regarding Affiliated Stock, refer to the following important reports:Check out Historical Fundamental Analysis of Affiliated Managers to cross-verify your projections. You can also try the Bond Analysis module to evaluate and analyze corporate bonds as a potential investment for your portfolios..
Is Asset Management & Custody Banks space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Affiliated Managers. If investors know Affiliated will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Affiliated Managers listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth (0.31) | Dividend Share 0.04 | Earnings Share 15.39 | Revenue Per Share 63.199 | Quarterly Revenue Growth (0.02) |
The market value of Affiliated Managers is measured differently than its book value, which is the value of Affiliated that is recorded on the company's balance sheet. Investors also form their own opinion of Affiliated Managers' value that differs from its market value or its book value, called intrinsic value, which is Affiliated Managers' true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Affiliated Managers' market value can be influenced by many factors that don't directly affect Affiliated Managers' underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Affiliated Managers' value and its price as these two are different measures arrived at by different means. Investors typically determine if Affiliated Managers is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Affiliated Managers' price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.