Affiliated Managers Group, Stock Technical Analysis
| MGRD Stock | USD 17.40 0.25 1.46% |
As of the 29th of November, Affiliated Managers shows the risk adjusted performance of (0.01), and Mean Deviation of 0.6122. In respect to fundamental indicators, the technical analysis model gives you tools to check existing technical drivers of Affiliated Managers, as well as the relationship between them. Please confirm Affiliated Managers coefficient of variation, treynor ratio, as well as the relationship between the Treynor Ratio and skewness to decide if Affiliated Managers is priced correctly, providing market reflects its regular price of 17.4 per share. Given that Affiliated Managers has information ratio of (0.17), we suggest you to validate Affiliated Managers Group,'s prevailing market performance to make sure the company can sustain itself at a future point.
Affiliated Managers Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Affiliated, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to AffiliatedAffiliated |
Affiliated Managers technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.
Affiliated Managers Technical Analysis
The output start index for this execution was ten with a total number of output elements of fifty-one. The Average True Range was developed by J. Welles Wilder in 1970s. It is one of components of the Welles Wilder Directional Movement indicators. The ATR is a measure of Affiliated Managers volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Affiliated Managers Trend Analysis
Use this graph to draw trend lines for Affiliated Managers Group,. You can use it to identify possible trend reversals for Affiliated Managers as well as other signals and approximate when it will take place. Remember, you need at least two touches of the trend line with actual Affiliated Managers price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Affiliated Managers Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Affiliated Managers Group, applied against its price change over selected period. The best fit line has a slop of 0.0082 , which may suggest that Affiliated Managers Group, market price will keep on failing further. It has 122 observation points and a regression sum of squares at 2.53, which is the sum of squared deviations for the predicted Affiliated Managers price change compared to its average price change.About Affiliated Managers Technical Analysis
The technical analysis module can be used to analyzes prices, returns, volume, basic money flow, and other market information and help investors to determine the real value of Affiliated Managers Group, on a daily or weekly bases. We use both bottom-up as well as top-down valuation methodologies to arrive at the intrinsic value of Affiliated Managers Group, based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Affiliated Managers price pattern first instead of the macroeconomic environment surrounding Affiliated Managers. By analyzing Affiliated Managers's financials, daily price indicators, and related drivers such as dividends, momentum ratios, and various types of growth rates, we attempt to find the most accurate representation of Affiliated Managers's intrinsic value. As compared to a bottom-up approach, our top-down model examines the macroeconomic factors that affect the industry/economy before zooming in to Affiliated Managers specific price patterns or momentum indicators. Please read more on our technical analysis page.
| 2021 | 2022 | 2023 | 2024 (projected) | Dividend Yield | 2.49E-4 | 2.62E-4 | 2.82E-4 | 2.68E-4 | Price To Sales Ratio | 2.83 | 2.62 | 2.58 | 3.45 |
Affiliated Managers November 29, 2024 Technical Indicators
Most technical analysis of Affiliated help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for Affiliated from various momentum indicators to cycle indicators. When you analyze Affiliated charts, please remember that the event formation may indicate an entry point for a short seller, and look at different other indicators across different periods to confirm that a breakdown or reversion is likely to occur.
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| Volume Indicators |
| Risk Adjusted Performance | (0.01) | |||
| Market Risk Adjusted Performance | (0.12) | |||
| Mean Deviation | 0.6122 | |||
| Coefficient Of Variation | (5,798) | |||
| Standard Deviation | 0.8243 | |||
| Variance | 0.6795 | |||
| Information Ratio | (0.17) | |||
| Jensen Alpha | (0.05) | |||
| Total Risk Alpha | (0.15) | |||
| Treynor Ratio | (0.13) | |||
| Maximum Drawdown | 4.03 | |||
| Value At Risk | (1.50) | |||
| Potential Upside | 1.2 | |||
| Skewness | (0.06) | |||
| Kurtosis | 0.9671 |
Complementary Tools for Affiliated Stock analysis
When running Affiliated Managers' price analysis, check to measure Affiliated Managers' 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 Affiliated Managers is operating at the current time. Most of Affiliated Managers' value examination focuses on studying past and present price action to predict the probability of Affiliated Managers' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Affiliated Managers' price. Additionally, you may evaluate how the addition of Affiliated Managers to your portfolios can decrease your overall portfolio volatility.
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