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Sustainability 2017, 9(8), 1406; doi:10.3390/su9081406

Are Commercial Financial Databases Reliable? New Evidence from Korea

Graduate School of International Studies, Dong-A University, Busan 49236, Korea
Rutgers Business School, Rutgers, The Staute University of New Jersey, Newark, NJ 07102-3122, USA
College of Business, California State University, Chico, 95929 CA, USA
Author to whom correspondence should be addressed.
Received: 15 July 2017 / Revised: 1 August 2017 / Accepted: 4 August 2017 / Published: 9 August 2017
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The quality of financial information is crucial for the effective decision-making of practitioners and academics. A number of studies have shown the existence of errors in proprietary databases provided by financial data aggregators (e.g., Compustat and Value Line) in advanced markets like the U.S. However, no study has examined the quality of the financial data offered by aggregators in emerging markets. Research on such markets is needed as financial investment frequently occurs in emerging markets due to the globalization of capital. The purpose of this study is to fill this gap by investigating whether financial data provided by aggregators is the same as the data reported in firms’ financial statements in emerging markets. Another purpose of this study is to examine the impact on academic research. Comparing the 18 most widely-used financial items found in the original filings of firms with the corresponding data provided by all three data aggregators currently available in South Korea (i.e., DataGuide, KisValue, and TS2000), we found a considerable number of differences; many of the differences are substantially greater than conventional materiality. We also found that the differences between data sources lead to different prediction results in bankruptcy prediction model. View Full-Text
Keywords: Keyword: data quality; absolute difference; material difference; financial information aggregator; Ohlson’s bankruptcy prediction model Keyword: data quality; absolute difference; material difference; financial information aggregator; Ohlson’s bankruptcy prediction model
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Nam, H.; No, W.G.; Lee, Y. Are Commercial Financial Databases Reliable? New Evidence from Korea. Sustainability 2017, 9, 1406.

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