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Forecasting the level of earnings management of Russian and Chinese companies. / Лукьянова, Анна Евгеньевна; Никулин, Егор Дмитриевич; Зинченко, Андрей.

In: Investment Management and Financial Innovations, Vol. 14, No. 2 (countinuation), 2017, p. 264-280.

Research output: Contribution to journalArticlepeer-review

Harvard

Лукьянова, АЕ, Никулин, ЕД & Зинченко, А 2017, 'Forecasting the level of earnings management of Russian and Chinese companies', Investment Management and Financial Innovations, vol. 14, no. 2 (countinuation), pp. 264-280. https://doi.org/10.21511/imfi.14(2-1).2017.11

APA

Лукьянова, А. Е., Никулин, Е. Д., & Зинченко, А. (2017). Forecasting the level of earnings management of Russian and Chinese companies. Investment Management and Financial Innovations, 14(2 (countinuation)), 264-280. https://doi.org/10.21511/imfi.14(2-1).2017.11

Vancouver

Author

Лукьянова, Анна Евгеньевна ; Никулин, Егор Дмитриевич ; Зинченко, Андрей. / Forecasting the level of earnings management of Russian and Chinese companies. In: Investment Management and Financial Innovations. 2017 ; Vol. 14, No. 2 (countinuation). pp. 264-280.

BibTeX

@article{28a0d17a802a4f97aced08ded9f9e91b,
title = "Forecasting the level of earnings management of Russian and Chinese companies",
abstract = "The purpose of the current paper is to elaborate a model to forecast a particular type of earnings management by companies: upward earnings management, downward earnings management or the absence of significant manipulation.The sample analyzed in the current paper comprises 664 Russian and 2,380 Chinese public companies for the period 2009–2014. The forecast was made for 2014 based on annual accounting data for 2009–2013. Regression analysis, as well as Classification and Regression Tree modelling (CART), were used. The data forecast for 2014 was compared with actual data for that year, and the accuracy of the forecasting model was assessed.The paper outlines the main conditions under which a particular type of earnings manipulation is expected to take place in a company in the accounting period following the current one. It is shown that the main factor influencing the company{\textquoteright}s level of earnings manipulation of the next accounting period for both Russian and Chinese companies is the debt ratio calculated as the ratio of total liabilities to total assets. The other important factors are: the company size, return on equity, earnings persistence, the level of earnings manipulation in the current period and stock emission",
keywords = "earnings management, Russia, China, forecasting, decision tree, SCOPUS, SCOPUS",
author = "Лукьянова, {Анна Евгеньевна} and Никулин, {Егор Дмитриевич} and Андрей Зинченко",
note = "Loukianova, A. E. Forecasting the level of earnings management of Russian and Chinese companies / A. E. Loukianova, E. D. Nikulin, A. Zinchenko // Investment Management and Financial Innovations. - 2017. - Volume 14, Issue 2. - P. 264-280. ",
year = "2017",
doi = "10.21511/imfi.14(2-1).2017.11",
language = "English",
volume = "14",
pages = "264--280",
journal = "Investment Management and Financial Innovations",
issn = "1810-4967",
publisher = "Business Perspectives",
number = "2 (countinuation)",

}

RIS

TY - JOUR

T1 - Forecasting the level of earnings management of Russian and Chinese companies

AU - Лукьянова, Анна Евгеньевна

AU - Никулин, Егор Дмитриевич

AU - Зинченко, Андрей

N1 - Loukianova, A. E. Forecasting the level of earnings management of Russian and Chinese companies / A. E. Loukianova, E. D. Nikulin, A. Zinchenko // Investment Management and Financial Innovations. - 2017. - Volume 14, Issue 2. - P. 264-280.

PY - 2017

Y1 - 2017

N2 - The purpose of the current paper is to elaborate a model to forecast a particular type of earnings management by companies: upward earnings management, downward earnings management or the absence of significant manipulation.The sample analyzed in the current paper comprises 664 Russian and 2,380 Chinese public companies for the period 2009–2014. The forecast was made for 2014 based on annual accounting data for 2009–2013. Regression analysis, as well as Classification and Regression Tree modelling (CART), were used. The data forecast for 2014 was compared with actual data for that year, and the accuracy of the forecasting model was assessed.The paper outlines the main conditions under which a particular type of earnings manipulation is expected to take place in a company in the accounting period following the current one. It is shown that the main factor influencing the company’s level of earnings manipulation of the next accounting period for both Russian and Chinese companies is the debt ratio calculated as the ratio of total liabilities to total assets. The other important factors are: the company size, return on equity, earnings persistence, the level of earnings manipulation in the current period and stock emission

AB - The purpose of the current paper is to elaborate a model to forecast a particular type of earnings management by companies: upward earnings management, downward earnings management or the absence of significant manipulation.The sample analyzed in the current paper comprises 664 Russian and 2,380 Chinese public companies for the period 2009–2014. The forecast was made for 2014 based on annual accounting data for 2009–2013. Regression analysis, as well as Classification and Regression Tree modelling (CART), were used. The data forecast for 2014 was compared with actual data for that year, and the accuracy of the forecasting model was assessed.The paper outlines the main conditions under which a particular type of earnings manipulation is expected to take place in a company in the accounting period following the current one. It is shown that the main factor influencing the company’s level of earnings manipulation of the next accounting period for both Russian and Chinese companies is the debt ratio calculated as the ratio of total liabilities to total assets. The other important factors are: the company size, return on equity, earnings persistence, the level of earnings manipulation in the current period and stock emission

KW - earnings management

KW - Russia

KW - China

KW - forecasting

KW - decision tree

KW - SCOPUS

KW - SCOPUS

U2 - 10.21511/imfi.14(2-1).2017.11

DO - 10.21511/imfi.14(2-1).2017.11

M3 - Article

VL - 14

SP - 264

EP - 280

JO - Investment Management and Financial Innovations

JF - Investment Management and Financial Innovations

SN - 1810-4967

IS - 2 (countinuation)

ER -

ID: 9518026