Affiliated Managers Group, Stock Market Value
| MGRD Stock | USD 18.15 0.10 0.55% |
| Symbol | Affiliated |
Affiliated Managers Price To Book Ratio
Is Trading 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.
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.
Affiliated Managers 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Affiliated Managers' stock what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Affiliated Managers.
| 09/14/2024 |
| 10/14/2024 |
If you would invest 0.00 in Affiliated Managers on September 14, 2024 and sell it all today you would earn a total of 0.00 from holding Affiliated Managers Group, or generate 0.0% return on investment in Affiliated Managers over 30 days. Affiliated Managers is related to or competes with Affiliated Managers, Southern Company, Affiliated Managers, Southern, and DTE Energy. Affiliated Managers is entity of United States More
Affiliated Managers Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Affiliated Managers' stock current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Affiliated Managers Group, upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.8313 | |||
| Information Ratio | (0.03) | |||
| Maximum Drawdown | 3.91 | |||
| Value At Risk | (1.01) | |||
| Potential Upside | 1.02 |
Affiliated Managers Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Affiliated Managers' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Affiliated Managers' standard deviation. In reality, there are many statistical measures that can use Affiliated Managers historical prices to predict the future Affiliated Managers' volatility.| Risk Adjusted Performance | 0.109 | |||
| Jensen Alpha | 0.0524 | |||
| Total Risk Alpha | (0.01) | |||
| Sortino Ratio | (0.03) | |||
| Treynor Ratio | 0.2831 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Affiliated Managers' price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Affiliated Managers Backtested Returns
At this point, Affiliated Managers is very steady. Affiliated Managers secures Sharpe Ratio (or Efficiency) of 0.12, which signifies that the company had a 0.12% return per unit of standard deviation over the last 3 months. We have found twenty-nine technical indicators for Affiliated Managers Group,, which you can use to evaluate the volatility of the firm. Please confirm Affiliated Managers' risk adjusted performance of 0.109, and Mean Deviation of 0.5071 to double-check if the risk estimate we provide is consistent with the expected return of 0.0819%. Affiliated Managers has a performance score of 9 on a scale of 0 to 100. The firm shows a Beta (market volatility) of 0.3, which signifies not very significant fluctuations relative to the market. As returns on the market increase, Affiliated Managers' returns are expected to increase less than the market. However, during the bear market, the loss of holding Affiliated Managers is expected to be smaller as well. Affiliated Managers right now shows a risk of 0.69%. Please confirm Affiliated Managers jensen alpha, semi variance, day typical price, as well as the relationship between the maximum drawdown and accumulation distribution , to decide if Affiliated Managers will be following its price patterns.
Auto-correlation | 0.43 |
Average predictability
Affiliated Managers Group, has average predictability. Overlapping area represents the amount of predictability between Affiliated Managers time series from 14th of September 2024 to 29th of September 2024 and 29th of September 2024 to 14th of October 2024. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Affiliated Managers price movement. The serial correlation of 0.43 indicates that just about 43.0% of current Affiliated Managers price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.43 | |
| Spearman Rank Test | 0.55 | |
| Residual Average | 0.0 | |
| Price Variance | 0.02 |
Affiliated Managers lagged returns against current returns
Autocorrelation, which is Affiliated Managers stock's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting Affiliated Managers' stock expected returns. We can calculate the autocorrelation of Affiliated Managers returns to help us make a trade decision. For example, suppose you find that Affiliated Managers has exhibited high autocorrelation historically, and you observe that the stock is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
| Timeline |
Affiliated Managers regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If Affiliated Managers stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Affiliated Managers stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Affiliated Managers stock over time.
Current vs Lagged Prices |
| Timeline |
Affiliated Managers Lagged Returns
When evaluating Affiliated Managers' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Affiliated Managers stock have on its future price. Affiliated Managers autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, Affiliated Managers autocorrelation shows the relationship between Affiliated Managers stock current value and its past values and can show if there is a momentum factor associated with investing in Affiliated Managers Group,.
Regressed Prices |
| Timeline |
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.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 Affiliated Managers Correlation, Affiliated Managers Volatility and Affiliated Managers Alpha and Beta module to complement your research on Affiliated Managers. You can also try the Bonds Directory module to find actively traded corporate debentures issued by US companies.
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.