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Incorporating Piecewi se-linear Variables into an Empirical Model of Non-current Asset Impairment Timeliness

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  • Keishi Fujiyama

    (Research Institute for Economics and Business Administration, Kobe University, JAPAN)

Abstract

While prior research employs linear stock returns as a proxy for economic losses, this study uses piecewise-linear stock returns to separate positive and negative stock returns. It also examines the relationships of non-current asset impairments with changes in sales and cash flows from operations, which can be viewed as short-term indicators of economic impairments. I find a negative relationship between non-current asset impairments and negative stock returns in year t–5, consistent with prior research. I also find such a relationship in year t, contrary to prior research. The results indicate that the relationships are stronger in years t–1 and t–2 than in years t and t–3. These results suggest that non-current asset impairment losses reported by Japanese firms are consistent with the Japanese accounting standard, although such losses are not necessarily reported in a timely manner. In addition, I find evidence suggesting that changes in sales and cash flows from operations in year t are short-term indicators of non-current asset impairments. Overall, incorporating piecewise-linear variables improves the empirical model of non-current asset impairment timeliness.

Suggested Citation

  • Keishi Fujiyama, 2020. "Incorporating Piecewi se-linear Variables into an Empirical Model of Non-current Asset Impairment Timeliness," Discussion Paper Series DP2020-31, Research Institute for Economics & Business Administration, Kobe University, revised Oct 2021.
    • Handle: RePEc:kob:dpaper:dp2020-31
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    File URL: https://www.rieb.kobe-u.ac.jp/academic/ra/dp/English/DP2020-31.pdf
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    References listed on IDEAS

    as
    1. Takashi Obinata & Takako Okuda, 2008. "Accounting Behavior of Firms Recognizing Impairment Losses," CARF J-Series CARF-J-049, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    2. White, Halbert, 1980. "A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity," Econometrica, Econometric Society, vol. 48(4), pages 817-838, May.
    3. Keishi Fujiyama, 2014. "The Influence of Informal Institutions on Impaired Asset Write-Offs: Securing Future and Current Pies for Payouts in Japan," Advances in Japanese Business and Economics, in: Kunio Ito & Makoto Nakano (ed.), International Perspectives on Accounting and Corporate Behavior, edition 127, pages 161-186, Springer.
    4. Lapointe-Antunes, Pascale & Cormier, Denis & Magnan, Michel, 2009. "Value relevance and timeliness of transitional goodwill-impairment losses: Evidence from Canada," The International Journal of Accounting, Elsevier, vol. 44(1), pages 56-78, March.
    5. Ray Ball & Lakshmanan Shivakumar, 2006. "The Role of Accruals in Asymmetrically Timely Gain and Loss Recognition," Journal of Accounting Research, Wiley Blackwell, vol. 44(2), pages 207-242, May.
    6. Takashi Obinata & Takako Okuda, 2008. ""Accounting Behavior of Firms Recognizing Impairment Losses"(in Japanese)," CIRJE J-Series CIRJE-J-194, CIRJE, Faculty of Economics, University of Tokyo.
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