FactSet Return On Equity from 2010 to 2024
| FDS Stock | USD 396.15 1.26 0.32% |
Return On Equity | First Reported 2010-12-31 | Previous Quarter 0.26 | Current Value 0.26 | Quarterly Volatility 0.11750347 |
Check FactSet Research financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among FactSet Research's main balance sheet or income statement drivers, such as Depreciation And Amortization of 166.3 M, Interest Expense of 80.1 M or Selling General Administrative of 550.8 M, as well as many indicators such as Price To Sales Ratio of 8.07, Dividend Yield of 0.0065 or PTB Ratio of 12.34. FactSet financial statements analysis is a perfect complement when working with FactSet Research Valuation or Volatility modules.
FactSet | Return On Equity |
Latest FactSet Research's Return On Equity Growth Pattern
Below is the plot of the Return On Equity of FactSet Research Systems over the last few years. Return on Equity is the amount of FactSet Research Systems net income returned as a percentage of FactSet Research equity. Return on equity measures FactSet Research profitability by revealing how much profit FactSet Research Systems generates with the money shareholders have invested. It is a measure of the profitability of a business in relation to the equity, calculated by dividing net income by shareholder's equity. FactSet Research's Return On Equity historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in FactSet Research's overall financial position and show how it may be relating to other accounts over time.
| View | Last Reported 0.29 | 10 Years Trend |
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Return On Equity |
| Timeline |
FactSet Return On Equity Regression Statistics
| Arithmetic Mean | 0.39 | |
| Geometric Mean | 0.38 | |
| Coefficient Of Variation | 30.02 | |
| Mean Deviation | 0.09 | |
| Median | 0.39 | |
| Standard Deviation | 0.12 | |
| Sample Variance | 0.01 | |
| Range | 0.4244 | |
| R-Value | (0.24) | |
| Mean Square Error | 0.01 | |
| R-Squared | 0.06 | |
| Significance | 0.40 | |
| Slope | (0.01) | |
| Total Sum of Squares | 0.19 |
FactSet Return On Equity History
About FactSet Research Financial Statements
There are typically three primary documents that fall into the category of financial statements. These documents include FactSet Research income statement, its balance sheet, and the statement of cash flows. FactSet Research investors use historical funamental indicators, such as FactSet Research's Return On Equity, to determine how well the company is positioned to perform in the future. Although FactSet Research investors may use each financial statement separately, they are all related. The changes in FactSet Research's assets and liabilities, for example, are also reflected in the revenues and expenses that we see on FactSet Research's income statement, which results in the company's gains or losses. Cash flows can provide more information regarding cash listed on a balance sheet, but not equivalent to net income shown on the income statement. We offer a historical overview of the basic patterns found on FactSet Research Financial Statements. Understanding these patterns can help to make the right decision on long term investment in FactSet Research. Please read more on our technical analysis and fundamental analysis pages.
| Last Reported | Projected for Next Year | ||
| Return On Equity | 0.29 | 0.26 |
Pair Trading with FactSet Research
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 FactSet Research 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 FactSet Research will appreciate offsetting losses from the drop in the long position's value.Moving together with FactSet Stock
Moving against FactSet Stock
| 0.64 | DB | Deutsche Bank AG Earnings Call This Week | PairCorr |
| 0.47 | BK | Bank of New York Financial Report 16th of July 2024 | PairCorr |
| 0.46 | C | Citigroup Financial Report 12th of July 2024 | PairCorr |
The ability to find closely correlated positions to FactSet Research could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace FactSet Research 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 FactSet Research - 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 FactSet Research Systems to buy it.
The correlation of FactSet Research 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 FactSet Research moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if FactSet Research Systems 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 FactSet Research 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 FactSet Stock Analysis
When running FactSet Research's price analysis, check to measure FactSet Research's 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 FactSet Research is operating at the current time. Most of FactSet Research's value examination focuses on studying past and present price action to predict the probability of FactSet Research's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move FactSet Research's price. Additionally, you may evaluate how the addition of FactSet Research to your portfolios can decrease your overall portfolio volatility.