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MD&A Abnormal Description and Management Forecast Bias and Accuracy

  • Industry Promotion Research
  • Abbr : IPR
  • 2026, 11(1), pp.47~59
  • DOI : 10.21186/IPR.2026.11.1.047
  • Publisher : Industrial Promotion Institute
  • Research Area : Interdisciplinary Studies > Interdisciplinary Research
  • Received : December 20, 2025
  • Accepted : January 7, 2026
  • Published : January 31, 2026

Dahye Lee 1 Jaehyung Bark 2

1충남대학교
2세한대학교

Accredited

ABSTRACT

This study investigates the impact of abnormal descriptions in Management Discussion and Analysis (MD&A) on management voluntary earnings forecast behavior using text mining techniques. Analyzing listed companies in Korea from 2012 to 2019, the results show that a higher level of abnormal description in MD&A is associated with managers presenting optimistically biased earnings forecasts and lower forecast accuracy. This implies that managers' behavior of exaggerating or distorting the firm's situation through narrative information in MD&A leads to the qualitative deterioration of quantitative forecast information. This tendency is particularly pronounced in firms with opaque information environments or weak monitoring mechanisms. By demonstrating that the abnormality of qualitative disclosure is an antecedent factor undermining the reliability of quantitative forecast information, this study suggests that investors and regulatory authorities should utilize MD&A text as a crucial indicator for detecting corporate disclosure risks.

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