Does the Capitalization of Development Costs Improve Analyst Forecast Accuracy? Evidence from the UK

被引:9
作者
Anagnostopoulou, Seraina C. [1 ]
机构
[1] Athens Univ Econ & Business, Dept Accounting & Finance, Athens 10434, Greece
关键词
RESEARCH-AND-DEVELOPMENT; EARNINGS FORECASTS; EXPENDITURES; RELEVANCE;
D O I
10.1111/j.1467-646X.2009.01036.x
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
It has been documented that investments in Research and Development (R&D) are associated with increased errors and inaccuracy in earnings forecasts made by financial analysts. These deficiencies have been generally attributed to information complexity and the uncertainty of the future benefits of R&D. This paper examines whether the capitalization of development costs can reduce analyst uncertainty about the future economic outcome of R&D investments, provide outsiders with a better matching of future R&D-related revenues and costs, and therefore promote accuracy in analyst forecasts. UK data is used, because accounting rules in the United Kingdom permitted firms to conditionally capitalize development costs even before the introduction of the International Financial Reporting Standards. The choice to expense R&D rather than conditionally capitalize development costs is found to relate positively to signed analyst forecast errors. This finding is robust to controlling for the influence of other factors that may affect errors, as well as for the influence of R&D investments on forecast errors. The decision to capitalize versus expense is not observed to have a significant influence on analyst forecast revisions. The findings are interpreted as evidence that the choice to capitalize as opposed to expense may help to reduce deficiencies in analyst forecasts; hence, is informative for users of financial statements. Increased informativeness is expected to have repercussions for the effectiveness with which analysts produce earnings forecasts, and, as a result, market efficiency.
引用
收藏
页码:62 / 83
页数:22
相关论文
共 34 条
  • [31] Does regional planning policy of Yangtze River Delta improve green technology innovation? Evidence from a quasi-natural experiment in China
    Xu, Hong
    Qiu, Lei
    Liu, Baozhen
    Liu, Bei
    Wang, Hui
    Lin, Weifen
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2021, 28 (44) : 62321 - 62337
  • [32] Does Social Science Inform Foreign Policy? Evidence from a Survey of US National Security, Trade, and Development Officials
    Avey, Paul C.
    Desch, Michael C.
    Parajon, Eric
    Peterson, Susan
    Powers, Ryan
    Tierney, Michael J.
    INTERNATIONAL STUDIES QUARTERLY, 2022, 66 (01)
  • [33] How does artificial intelligence development affect green technology innovation in China? Evidence from dynamic panel data analysis
    Yin, Kedong
    Cai, Fangfang
    Huang, Chong
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2023, 30 (10) : 28066 - 28090
  • [34] Does Chinese mixed-ownership reform improve innovation quality in privately-owned enterprises? A dual-perspective evidence from managerial myopia and resource-based view
    Gu, Xuehua
    NORTH AMERICAN JOURNAL OF ECONOMICS AND FINANCE, 2025, 77