Relevant bibliographies by topics / COMPUSTAT Data

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters

Academic literature on the topic 'COMPUSTAT Data'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "COMPUSTAT Data"

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Bostwick, Eric D., Sherwood Lane Lambert, and Joseph G. Donelan. "A Wrench in the COGS: An Analysis of the Differences between Cost of Goods Sold as Reported in Compustat and in the Financial Statements." Accounting Horizons 30, no. 2 (2015): 177–93. http://dx.doi.org/10.2308/acch-51336.

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SYNOPSIS This paper explores the differences between cost of goods sold (COGS) and gross margin (GM) as reported in Compustat and in corporate financial statements between 2008 and 2011. We find that, on average, Compustat's COGS is 7.5 percent lower and Compustat's GM is 14.3 percent higher than the amounts reported in the financial statements. We identify one specific Compustat adjustment procedure that accounts for most of this difference, the adjustment for depreciation, thereby providing an important contribution to extant literature dealing with differences between Compustat and 10-K dat
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Casey, Ryan J., Feng Gao, Michael T. Kirschenheiter, Siyi Li, and Shailendra Pandit. "Do Compustat Financial Statement Data Articulate?" Journal of Financial Reporting 1, no. 1 (2016): 37–59. http://dx.doi.org/10.2308/jfir-51329.

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Mills, Lillian F., Kaye J. Newberry, and Garth F. Novack. "How Well Do Compustat NOL Data Identify Firms with U.S. Tax Return Loss Carryovers?" Journal of the American Taxation Association 25, no. 2 (2003): 1–17. http://dx.doi.org/10.2308/jata.2003.25.2.1.

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Although Compustat net operating loss (NOL) data are an underlying component of most proxies of corporate tax incentives, there is little empirical evidence regarding how Compustat NOLs relate to firms' tax-loss positions per their U.S. tax returns. We use confidential U.S. tax return data for a sample of large corporations over the period 1981–1995 to compute firms' U.S. tax-loss carryovers and construct a matched sample with Compustat data. We then evaluate how well Compustat NOL data works as an indicator of firms' U.S. tax-loss positions, identify sources of misclassification errors, and i
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Hribar, Paul. "Commentary On: Do Compustat Financial Statement Data Articulate?" Journal of Financial Reporting 1, no. 1 (2016): 61–63. http://dx.doi.org/10.2308/jfir-51355.

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Chychyla, Roman, and Alexander Kogan. "Using XBRL to Conduct a Large-Scale Study of Discrepancies between the Accounting Numbers in Compustat and SEC 10-K Filings." Journal of Information Systems 29, no. 1 (2014): 37–72. http://dx.doi.org/10.2308/isys-50922.

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ABSTRACT Compustat is frequently used for both research and decision making. It has been documented that information found in the Compustat database differs from both the information found in other accounting databases and the information disclosed in corporate financial filings (San Miguel 1977; Rosenberg and Houglet 1974; Yang, Vasarhelyi, and Liu 2003; Tallapally, Luehlfing, and Motha 2011, 2012; Boritz and No 2013). In this study, we conduct the first large-scale comparison of Compustat and 10-K data. Specifically, we compare 30 accounting line items of approximately 5,000 companies for th
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Tallapally, Pavani, Michael S. Luehlfing, and Madhu Motha. "The Partnership Of EDGAR Online And XBRL - Should Compustat Care?" Review of Business Information Systems (RBIS) 15, no. 4 (2011): 39–46. http://dx.doi.org/10.19030/rbis.v15i4.6011.

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Until EDGAR Online began operational, Compustat was (arguably) the only provider of financial statement information with accompanying database development capabilities. While EDGAR Online has received relatively little attention in the literature to date, we posit that the use of Edgar Online could flourish given the recent XBRL (eXtensible Business Reporting Language) reporting mandate of the SEC (Securities and Exchange Commission). In this regard, we identify the differences between Compustat and EDGAR Online in terms of data presentation as well as database development capabilities and pro
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7

Rada, Roy, and Hayden Wimmer. "Decision Trees and Financial Variables." International Journal of Decision Support System Technology 9, no. 1 (2017): 1–15. http://dx.doi.org/10.4018/ijdsst.2017010101.

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A decision tree program for forecasting stock performance is applied to Compustat's Global financial statement data augmented with International Monetary Fund data. The hypothesis is that certain Compustat variables will be most used by the decision tree program and will provide insight as to how to make investing decisions. Surprisingly, the authors' experiments show that the most frequently used variables come from the International Monetary Fund and that variables provided exclusively for Financial Industry stocks were not useful for forecasting financial stock performance. These experiment
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8

Sachdeva, Darshan. "Students' Attitudes towards use of Compustat in Teaching an Introductory Course in Business Finance." Psychological Reports 101, no. 2 (2007): 353–56. http://dx.doi.org/10.2466/pr0.101.2.353-356.

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This paper describes the use of the COMPUSTAT database in teaching an introductory course in business finance at a large College of Business Administration. To understand students' attitudes towards this innovative method of instruction in business finance, a simple one-page questionnaire of 10 attitudinal statements was used. Responses of 148 students, analyzed by chi square, indicated students were unanimous in their opinion that the World Wide Web greatly paved the way in data retrieval from the COMPUSTAT database. They further reported that this interface facilitated analyses for the cours
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Dollinger, Marc J., and Peggy A. Golden. "Interorganizational and Collective Strategies in Small Firms: Environmental Effects and Performance." Journal of Management 18, no. 4 (1992): 695–715. http://dx.doi.org/10.1177/014920639201800406.

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This study provides evidence that collective strategy is prevalent in small firms in fragmented industries. COMPUSTAT data were combined with afield survey of small manufacturingfirms to test hypotheses concerning the relative frequencies of various collective strategies, the effects of environmental variables on collective activity, and the contribution of collective behavior to firm performance. Results indicate that agglomerate and organic collective strategies are the most frequently employed, and that munificent environments were positively associated with collective behavior and performa
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Palas, Rimona, and Amos Baranes. "Making investment decisions using XBRL filing data." Accounting Research Journal 32, no. 4 (2019): 587–609. http://dx.doi.org/10.1108/arj-01-2018-0002.

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Purpose The Securities Exchange Commission mandated eXtensible Business Reporting Language (XBRL) filing data provide immediate availability and easy accessibility for both academics and practitioners. To be useful, this data should provide information for decisions, specifically, investment decisions. The purpose of this study is to examine whether the XBRL database can be used with models, developed in previous studies, predicting the directional movement of earnings. The study does not attempt to examine the validity of these models, but only the ability to use the data in the analysis of f
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Dissertations / Theses on the topic "COMPUSTAT Data"

1

Enlow, Sierra J. "AN EXAMINATION OF CORPORATE AGRIBUSINESS FINANCIAL PERFORMANCE: HOW AGRIBUSINESSES PERFORM OVER TIME AND UNDER VARIOUS CONDITIONS." UKnowledge, 2012. http://uknowledge.uky.edu/agecon_etds/9.

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While several studies examine the managerial structure of privately owned agribusinesses, few studies take a comprehensive look at publically traded agribusiness firms. Our study examines the historical position of agribusiness compared to the market, and then studies the impact of the global economic and financial crisis. The objective of this study is to pinpoint effects of corporate financial management strategies, commonly researched in financial literature on agribusiness firms’ performance. Through utilizing a quantile regression we find that agribusiness position in times of financial c
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Paff, Lolita Anna. "The effect of state-level research and development tax credits : an analysis based on 10-K and Compustat data /." Diss., 2001. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:3036274.

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Books on the topic "COMPUSTAT Data"

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Standard & Poor's Compustat Services. Compustat (North America): Data guide. Standard & Poor's Compustat, 1999.

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2

Corres, Stelios. Endogenous attrition of firms : an empirical investigation with micro data from COMPUSTAT / by Stelios Corres and Yannis M. Ioannides. University of Wales, 1996.

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3

Compustat R: North America : data guide. Standard and Poor, 1999.

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4

Geological Survey (U.S.), ed. Direct-wire procedures for transferring files among IBM-PCs, COMPUSTARs and LEXITRONs. U.S. Dept. of the Interior, Geological Survey, 1985.

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Geological Survey (U.S.), ed. Direct-wire procedures for transferring files among IBM-PCs, COMPUSTARs and LEXITRONs. U.S. Dept. of the Interior, Geological Survey, 1985.

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Direct-wire procedures for transferring files among IBM-PCs, COMPUSTARs and LEXITRONs. U.S. Dept. of the Interior, Geological Survey, 1985.

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Direct-wire procedures for transferring files among IBM-PCs, COMPUSTARs and LEXITRONs. U.S. Dept. of the Interior, Geological Survey, 1985.

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Geological Survey (U.S.), ed. Direct-wire procedures for transferring files among IBM-PCs, COMPUSTARs and LEXITRONs. U.S. Dept. of the Interior, Geological Survey, 1985.

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Book chapters on the topic "COMPUSTAT Data"

1

Boyd, D. Eric, Paul W. Farris, and Lutz Hildebrandt. "PIMS and COMPUSTAT data: different horses for the same course?" In The Profit Impact of Marketing Strategy Project. Cambridge University Press, 2004. http://dx.doi.org/10.1017/cbo9780511488726.004.

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