Affiliated Short Term Debt from 2010 to 2024

MGR Stock  USD 23.67  0.13  0.55%   
Affiliated Managers Short Term Debt yearly trend continues to be relatively stable with very little volatility. Short Term Debt is likely to drop to about 37.1 M. During the period from 2010 to 2024, Affiliated Managers Short Term Debt destribution of quarterly values had range of 442.3 M from its regression line and mean deviation of  49,827,156. View All Fundamentals
 
Short Term Debt  
First Reported
1998-12-31
Previous Quarter
38.5 M
Current Value
39.1 M
Quarterly Volatility
416.6 M
 
Dot-com Bubble
 
Housing Crash
 
Credit Downgrade
 
Yuan Drop
 
Covid
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.
  
Check out the analysis of Affiliated Managers Correlation against competitors.

Latest Affiliated Managers' Short Term Debt Growth Pattern

Below is the plot of the Short Term Debt of Affiliated Managers Group over the last few years. It is Affiliated Managers' Short Term Debt 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.
Short Term Debt10 Years Trend
Very volatile
   Short Term Debt   
       Timeline  

Affiliated Short Term Debt Regression Statistics

Arithmetic Mean75,996,333
Geometric Mean51,992,682
Coefficient Of Variation137.69
Mean Deviation49,827,156
Median51,500,000
Standard Deviation104,641,780
Sample Variance10949.9T
Range442.3M
R-Value0.08
Mean Square Error11719.9T
R-Squared0.01
Significance0.78
Slope1,832,196
Total Sum of Squares153298.6T

Affiliated Short Term Debt History

202437.1 M
202339.1 M
202238.5 M
202138.9 M
202040.5 M
2019449.7 M
201851.5 M

About Affiliated Managers Financial Statements

Affiliated Managers shareholders use historical fundamental indicators, such as Short Term Debt, 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 ReportedProjected for Next Year
Short Term Debt39.1 M37.1 M

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

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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.
Pair CorrelationCorrelation Matching

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.