Autor: |
doc. Jiří Novák M.Sc., Ph.D., Karel Hrazdil, Dennis Y. Chung, Nattavut Suwanyangyuan
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Typ: |
Články v impaktovaných časopisech |
Rok: |
2019 |
Číslo: |
1 |
ISSN / ISBN: |
1815-5669 |
Publikováno v: |
Journal of Contemporary Accounting and Economics |
Místo vydání: |
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Klíčová slova: |
Disclosure quantity; Market efficiency; Price discovery |
JEL kódy: |
G12, G14 |
Citace: |
https://doi.org/10.1016/j.jcae.2018.12.001 |
Granty: |
GACR 15-13040S Accounting Earnings Quality, Insider Trading Profitability and Stock Price Informativeness
GAČR 18-02513S Meta-Analyses of Stock Return Determinants
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Abstrakt: |
We analyze how the quantity of information in corporate disclosures affects the efficiency with which investors incorporate newly acquired information into stock prices. Specifically, we investigate both numerical and textual levels of detail provided in 10-K disclosures: (1) disaggregation (numerical) quantity (DQ) capturing the ‘fineness’ of accounting line items and (2) textual quantity (TQ) capturing the amount of ‘soft’ or narrative information. We find that both DQ and TQ are associated with an overall improvement in the efficiency of information price discovery. Our results provide empirical support for the benefits of detailed numerical and textual corporate disclosure. |