Affiliated Total Assets from 2010 to 2024
| MGR Stock | USD 23.57 0.06 0.25% |
Total Assets | First Reported 1997-12-31 | Previous Quarter 8.8 B | Current Value 8.9 B | Quarterly Volatility 3.1 B |
Check Affiliated Managers financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Affiliated Managers' main balance sheet or income statement drivers, such as Depreciation And Amortization of 58.2 M, Selling General Administrative of 1.8 B or Total Revenue of 1.5 B, as well as many indicators such as Price To Sales Ratio of 3.45, Dividend Yield of 3.0E-4 or PTB Ratio of 1.41. Affiliated financial statements analysis is a perfect complement when working with Affiliated Managers Valuation or Volatility modules.
Affiliated | Total Assets |
Latest Affiliated Managers' Total Assets Growth Pattern
Below is the plot of the Total Assets of Affiliated Managers Group over the last few years. Total assets refers to the total amount of Affiliated Managers assets owned. Assets are items that have some economic value and are expended over time to create a benefit for the owner. These assets are usually recorded in Affiliated Managers books under different categories such as cash, marketable securities, accounts receivable,prepaid expenses, inventory, fixed assets, intangible assets, other assets, marketable securities, accounts receivable, prepaid expenses and others. It is the total value of all owned resources that are expected to provide future economic benefits to the business, including cash, investments, accounts receivable, inventory, property, plant, equipment, and intangible assets. Affiliated Managers' Total Assets historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Affiliated Managers' overall financial position and show how it may be relating to other accounts over time.
| View | Last Reported 9.06 B | 10 Years Trend |
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Total Assets |
| Timeline |
Affiliated Total Assets Regression Statistics
| Arithmetic Mean | 7,097,703,460 | |
| Geometric Mean | 5,609,309,366 | |
| Coefficient Of Variation | 32.90 | |
| Mean Deviation | 1,672,568,721 | |
| Median | 7,784,800,000 | |
| Standard Deviation | 2,335,498,638 | |
| Sample Variance | 5454553.9T | |
| Range | 9B | |
| R-Value | 0.56 | |
| Mean Square Error | 4044153.4T | |
| R-Squared | 0.31 | |
| Significance | 0.03 | |
| Slope | 291,484,869 | |
| Total Sum of Squares | 76363754.4T |
Affiliated Total Assets History
Other Fundumenentals of Affiliated Managers
Affiliated Managers Total Assets component correlations
Click cells to compare fundamentals
About Affiliated Managers Financial Statements
Affiliated Managers shareholders use historical fundamental indicators, such as Total Assets, to determine how well the company is positioned to perform in the future. Although Affiliated Managers investors may analyze each financial statement separately, they are all interrelated. The changes in Affiliated Managers' assets and liabilities, for example, are also reflected in the revenues and expenses on on Affiliated Managers' income statement. Understanding these patterns can help investors time the market effectively. Please read more on our fundamental analysis page.
| Last Reported | Projected for Next Year | ||
| Total Assets | 9.1 B | 5.1 B | |
| Intangibles To Total Assets | 0.48 | 0.42 |
Pair Trading with Affiliated Managers
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Affiliated Managers position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Affiliated Managers will appreciate offsetting losses from the drop in the long position's value.Moving against Affiliated Stock
The ability to find closely correlated positions to Affiliated Managers could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Affiliated Managers when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Affiliated Managers - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Affiliated Managers Group to buy it.
The correlation of Affiliated Managers is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Affiliated Managers moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Affiliated Managers moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Affiliated Managers can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Additional 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.