The Use of DuPont Analysis by Market Participants

2008 ◽  
Vol 83 (3) ◽  
pp. 823-853 ◽  
Author(s):  
Mark T. Soliman
Keyword(s):  
Accounting Information ◽  
Abnormal Returns ◽  
Financial Statement ◽  
Delayed Response ◽  
Forecast Errors ◽  
Financial Statement Analysis ◽  
Forecast Revisions ◽  
Market Participants ◽  
Dupont Analysis ◽  
Asset Turnover

DuPont analysis, a common form of financial statement analysis, decomposes return on net operating assets into two multiplicative components: profit margin and asset turnover. These two accounting ratios measure different constructs and, accordingly, have different properties. Prior research has found that a change in asset turnover is positively related to future changes in earnings. This paper comprehensively explores the DuPont components and contributes to the literature along three dimensions. First, the paper contributes to the financial statement analysis literature and finds that the information in this accounting signal is in fact incremental to accounting signals studied in prior research in predicting future earnings. Second, it contributes to the literature on the stock market's use of accounting information by examining immediate and future equity return responses to these components by investors. Finally, it adds to the literature on analysts' processing of accounting information by again testing immediate and delayed response of analysts through contemporaneous forecast revisions as well as future forecast errors. Consistent across both groups of market participants, the results show that the information is useful as evidenced by associations between the DuPont components and stock returns as well as analyst forecast revisions. However, I find predictable future forecast errors and future abnormal returns indicating that the information processing does not appear to be complete. Taken together, the analysis indicates that the DuPont components represent an incremental and viable form of information about the operating characteristics of a firm.

Assessment of Financial Performance of Agricultural Cooperative Unions: The Case of West Harerghe Zone, Oromia Region, Ethiopia

2020 ◽  
Vol 8 (9) ◽  
pp. 86-104
Author(s):  
Buta Debela Bonsa ◽  
Kerima Rahmeto Ebrahim
Keyword(s):  
Financial Performance ◽  
Financial Analysis ◽  
Balance Sheet ◽  
Free Cash Flow ◽  
Financial Statement ◽  
Financial Statement Analysis ◽  
Agricultural Cooperative ◽  
Secondary Sources ◽  
Current Asset ◽  
Asset Turnover

Financial statement analysis involves comparing cooperative union performance and evaluating trends in the unions’ financial position over time. Managers use financial statement analysis to identify situations demanding attention; potential lenders use financial analysis to determine whether the union is creditworthy; and stockholders use financial analysis to help predict future earnings, dividends, and free cash flow.  This study is conducted on Assessment of Financial performance of Agricultural Cooperative unions: the Case of West Harerghe zone, Oromia region, Ethiopia. The general objective of this study was to evaluate financial performance of agricultural cooperative union. For this study, the researchers used both primary and secondary sources of data taken from purposively selected two cooperative unions (i.e. Burka Galeti and Chercher Oda bultum) since they do have audited financial statements out of five unions found in western Haraghe. The study also used FGD and interview with fiancé managers and employees of the union for further explanation. Based on the financial statement analysis the researchers found that the agricultural cooperatives are efficient and effective in asset utilization, activity and debt equity management ratios. However, the financial statement analysis showed that the current asset ratio is below the industry standard   that cannot cover its short term liabilities form its current asset section of the balance sheet. Moreover, the profitability ratio of the unions revealed that the agricultural cooperative unions are efficient to make profit but the margin of profit is below 25% that cannot make the union successful to cover all the incidental costs that are borne within short and long-term periods. The OLS model revealed that quick, fixed asset turnover, total asset turnover, inventory turnover and gross profit margin ratios are significantly and positively affecting ROA. As a result, the researchers recommend that the agricultural cooperative unions are expected to improve its effective and efficient management of the day to day activities of the union. Furthermore, the unions are expected to higher managers who have the caliber to manage each and every activities of the union and who are visionary to bring success for the unions.

DuPont analysis and dividend policy: empirical evidence from Malaysia

2018 ◽  
Vol 30 (1) ◽  
pp. 52-72
Author(s):  
Samuel Jebaraj Benjamin ◽  
Zulkifflee Bin Mohamed ◽  
M. Srikamaladevi Marathamuthu
Keyword(s):  
Design Methodology ◽  
Dividend Policy ◽  
Explanatory Power ◽  
Return On Assets ◽  
Policy Studies ◽  
Content Type ◽  
Market Participants ◽  
Dupont Analysis ◽  
Asset Turnover ◽  
Practical Implications

Purpose The purpose of this paper is to investigate the informativeness of asset turnover (ATO) and profit margin (PM) of the DuPont analysis in explaining dividend policy. Design/methodology/approach Annual financial data from Compustat for the period 2004-2009 were used to analyze a sample of Malaysian firms. Findings This study finds both PM and ATO to strongly explain contemporaneous dividends. The decomposition of return on net operating assets (RNOA) into PM and ATO also improves the explanatory power of dividends. The results of the predictive model show that PM and ATO are useful in predicting the propensity of firms to pay dividends. The results of the change dividend model, however, do not provide any significant results for PM and ATO. Practical implications Understanding the influence of ATO and PM on dividends could enable managers to realize the importance of these factors when making dividend policy decisions. Other market participants, such as financial analysts and lenders, could also recognize the empirical specifics related to decomposing the profitability measure into its two components, one measuring the asset efficiency and the other measuring the profitability per unit of product, in the context of dividend policy. Originality/value This study extends the empirical specifics of prior dividend policy studies by decomposing the popular profitability measure of return on assets into its two components of PM and ATO.

The Contribution of Fundamental Analysis after a Currency Devaluation

2003 ◽  
Vol 78 (3) ◽  
pp. 875-902 ◽  
Author(s):  
Edward P. Swanson ◽  
Lynn Rees ◽  
Luis Felipe Juarez-Valdes
Keyword(s):  
Value Relevance ◽  
Explanatory Power ◽  
Financial Statement ◽  
Forecast Errors ◽  
Fundamental Analysis ◽  
Gross Margin ◽  
Currency Devaluation ◽  
Forecast Revisions ◽  
Future Earnings ◽  
Administrative Expenses

For a sample of companies traded on the Mexican Bolsa, fundamental analysis is used to investigate the value of financial statement information to investors after the December 1994 currency devaluation. Associations with contemporary returns show that earnings in the year of the devaluation lose value relevance, but fundamental signals, which incorporate the more detailed accounting information provided in financial statements, retain considerable explanatory power (R2 is 25 percent). After the devaluation, fundamental signals based on changes in selling and administrative expenses and changes in gross margin are significant in several analyses, including predictions of future earnings, analysts' forecast revisions, and analysts' forecast errors. Because analysts underutilize those signals, an opportunity exists after the devaluation for a substantial profit from a zero investment trading strategy.

scholarly journals Market Participants Neither Commit Predictable Errors nor Conform to REH: Evidence from Survey Data of Inflation Forecasts

2021 ◽  
Author(s):  
Roman Frydman ◽  
◽  
Joshua Stillwagon ◽  
Keyword(s):  
Survey Data ◽  
Forecast Errors ◽  
Forecast Revisions ◽  
Market Participants ◽  
Inflation Forecasts

We develop a novel characterization of participants’ forecasts with a mixture of normal variables arising from a Markov component. Using this characterization, we formulate five behavioral specifications, including four implied by the diagnostic expectations approach, as well as three implied by REH, and derive several new predictions for Coibion and Gorodnichenko.s regression of forecast errors on forecast revisions. Predictions of all eight specifications are inconsistent with the observed instability of individual CG regressions’ coefficients, based on inflation forecasts from 24 professionals. Our findings suggest how to build on key insights of the REH and behavioral approaches in specifying individuals’ forecasts.

Put Your Best Text Forward: Introducing Textual Analysis into the Accounting Classroom

2021 ◽  
Author(s):  
Ingrid Fisher ◽  
Mark Hughes ◽  
Diane J. Janvrin
Keyword(s):  
Information Systems ◽  
Data Analytics ◽  
Textual Analysis ◽  
Accounting Information ◽  
Digital Data ◽  
Financial Statement ◽  
Accounting Students ◽  
Accounting Profession ◽  
Financial Statement Analysis ◽  
Accounting Information Systems

The use of textual analysis methods in the accounting profession has grown markedly in recent years. Accounting professionals as well as business and accounting accreditors have called for accounting students to acquire an increased depth and breadth of knowledge of digital data analytics. This case enables accounting instructors, with no previous background or experience in textual analysis, to introduce students to the use of textual analysis in accounting and allows students to conduct simple analyses using freely available software and documents retrieved from publicly available SEC filings. This case is designed for auditing, accounting information systems, fraud examination, and financial statement analysis courses, but it can be used in any accounting course where the content of relevant documents is subject to examination.

Forecasting operating profitability with DuPont analysis

2014 ◽  
Vol 13 (2) ◽  
pp. 191-205 ◽  
Author(s):  
Mark P. Bauman
Keyword(s):  
Profit Margin ◽  
Financial Statement ◽  
Parameter Estimates ◽  
Content Type ◽  
Out Of Sample ◽  
Dupont Analysis ◽  
Asset Turnover ◽  
Net Operating Assets ◽  
One Year ◽  
The Impact

Purpose – The purpose of this study is to re-examine the relation between changes in profit margin (ΔPM) and changes in return on net operating assets (ΔRNOA) by partitioning on the direction of the change in PM. DuPont analysis provides a means of disaggregating a firm’s return on net operating assets (RNOA) into asset turnover (ATO) and profit margin (PM) components to gain insights into the underlying drivers of operating profitability. Prior research finds that changes in ATO are informative about one-year-ahead changes in RNOA, while changes in PM are not. Design/methodology/approach – Consistent with prior research, regression analysis is used to develop a predictive model for one-year-ahead changes in RNOA. Results based on in-sample parameter estimates are used to examine the out-of-sample forecasting accuracy of alternative model specifications. Findings – The results are consistent with significant forecast improvement resulting from considering the impact on future RNOA of the direction of the ΔPM. Originality/value – The study contributes to the literature on the determinants of profitability ratios by providing further guidance on how financial statement information can be utilized to improve forecasts of firm performance.

scholarly journals A Case Study: Using The Dupont Approach For Formulating Managerial Decisions

2016 ◽  
Vol 13 (1) ◽  
pp. 33-42
Author(s):  
Susan Wright
Keyword(s):  
Decision Making ◽  
Financial Management ◽  
Financial Statement ◽  
Financial Statement Analysis ◽  
Managerial Decision ◽  
Managerial Decision Making ◽  
Managerial Decisions ◽  
Dupont Analysis ◽  
Unique Approach ◽  
World Information

This case introduces a unique approach to financial statement analysis that centers on managerial decision-making as the locus for student analysis. Rather than grouping ratios into traditional categories, such as liquidity, asset efficiency, profitability, insolvency and market ratios, ratios are grouped into operating, investing and financing decision-making areas. Students deepen their understanding of a firm’s strengths and weaknesses through a process of “drilling-down” into the three decision-making domains. The analysis begins with an examination of ROE using the Dupont analysis which provides a useful framework for focusing on the three core managerial decision making activities.  The case is constructed using real world information extracted from 10K reports and from recent company announcements. It can be used at the undergraduate (400) or graduate level. It is most suitable for a course in Financial Statement Analysis, or a course in Corporate Financial Management/Corporate Finance. The basics of financial statement analysis are necessary to successfully navigate the case.

Volatility Forecasting Using Financial Statement Information

2015 ◽  
Vol 90 (5) ◽  
pp. 2079-2106 ◽  
Author(s):  
Suhas A. Sridharan
Keyword(s):  
Implied Volatility ◽  
Abnormal Returns ◽  
Analytical Framework ◽  
Realized Volatility ◽  
Financial Statement ◽  
Forecast Errors ◽  
Main Hypothesis ◽  
Fundamental Information ◽  
Variance Risk ◽  
Future Realized Volatility

ABSTRACT This paper examines whether financial statement information can predict future realized equity volatility incremental to market-based equity volatility forecasts. I use an analytical framework to identify accounting-based drivers of realized volatility. My main hypothesis is that accounting-based drivers can be used to forecast future realized volatility incremental to either past realized volatility or option-implied volatility. I confirm this empirically and document abnormal returns to an option-based trading strategy that takes a long (short) position in firms with financial statement information indicative of high (low) future realized volatility. These results suggest that accounting-based volatility drivers may serve as useful indicators of variance risk. Finally, I demonstrate that the incorporation of accounting-based fundamental information into forecasting models yields lower forecast errors relative to models based solely on past realized volatility.

Telaahan Penerapan Sistem Informasi Akuntansi Berbasis Komputer Akuntansi (Menggunakan Microsoft Excel) dalam Penyajian Laporan Keuangan (Studi Kasus pada Rumah Sakit Islam Bogor)

2010 ◽  
Vol 6 (02) ◽  
pp. 49
Author(s):  
Syarief Gerald Prasetya
Keyword(s):  
Information System ◽  
Balance Sheet ◽  
Accounting Information ◽  
Financial Statement ◽  
Microsoft Excel ◽  
Financial Reports ◽  
Accounting Information System ◽  
Achievement Data ◽  
Medical Needs ◽  
Processing Data

Hospital was established to serve the medical needs of the citizen. In addition to serving, hospitals also need to explore the benefits for the sustainability and the development of the hospital. To achieve financial reports have involved a large role. Accounting information system computer-based accounting will help serving the financial reports, so that more accurate and faster. Errors can be diminished.  Research object is selected by the author to conduct research is Bogor Rumah Sakit Islam. A hospital that is located on Jl. Perdana Raya. 22 Budi Agung, Jakarta Utara. This hospital was established on May 12, 1991. The location is strategic as it is in the center of Bogor. In doing activity, accounting information system based on computerized accounting still not yet common use. Computer already exist but support application to create an accurate and fast financial statement does not exist. So much weaknesses if we still using manual method. Like slowly processing data, still using much worker and much step while processing. The information result is still contained high mistake. To solve all problems above we need accounting software as tool for accounting division. For that I try to apply computerized accounting using Microsoft Excel for helping creating financial statement. By doing observation and interview with related employee, this research can do well. Journalize transaction process by using Microsoft Excel is to make a column for each transaction such as Journal Voucher, General Ledger, Balance Sheet. After making a column, the next step is inputing achievement data to Journal Voucher. After inputing data, General Ledger and Balance Sheet can automatically fill up. By using computer, processing data is more faster, information result is more accurately, human resource is less needed. Related management can get information they need more faster, because amount recalculated every doing transaction.

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