Economic policy uncertainty and earnings management: Evidence from Japan

Kim, Hyonok; Yasuda, Yukihiro

doi:10.1016/j.jfs.2021.100925

Cited by 36 publications

(32 citation statements)

References 56 publications

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“…The result shows that there is no significant relationship between environment uncertainty and information asymmetry towards earnings management, which means that those variables are not considered by stakeholders for their decision making. Another result fromKim and Yasuda (2021) examine the effect of Economic Policy Uncertainty (EPU) towards earnings management. This research specifically examines the company listed in Japan.…”

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Does Environment Uncertainty Affect Earnings Management?

Surbakti

Sudaryati

2021

JRAK

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This research is aimed to examine the effect of environment uncertainty towards earnings management. This study is a quantitative study with sample all of manufacturing companies that are listed in Indonesian Stock Exchange (IDX) from period 2013 -2018 and publish the financial statement consecutively during period 2013-2018. The sample is selected by using purposive sampling techniques with total of 455 companies. This study uses secondary data that derived from the financial statements of manufacturing companies during that period. By using regression analysis and SPSS in processing research data, the study finds that environment uncertainty has positive impact to financial distress. It indicates when companies are facing an environment uncertainty, it will impact to their performance especially financial performance which leads to the financial distress condition. Companies in higher financial distress condition are more likely to manage their earnings by using earnings management which are measured by discretionary accruals. This research is useful for investor as one of consideration before making financial decision especially when companies are in uncertain environment.

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Does Environment Uncertainty Affect Earnings Management?

Surbakti

Sudaryati

2021

JRAK

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“…Firms with a higher level of earnings management are associated with higher stock price crash risk. The effect of earnings management on stock price crash risk: a comparative … [ 43 ]…”

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The effect of earnings management on stock price crash risk: a comparative study of developing and developed Asian economies

Haider

Awan

Khan³

2022

IRJMSS

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The purpose of this study is to investigate the impact of earnings management on the stock price crash risk in Asian economies by using the yearly dataset of 432 non-financial firms from 6 countries (i.e. Pakistan, India, China, Japan, Hong Kong, and Singapore) for the period from 2009 to 2020. The dependent variable i.e., stock price crash risk is measured by its two renowned proxies such as negative conditional skewness and down-up volatility. The data for earnings management, stock price crash risk, and all control variables are compiled from Thomson Reuters DataStream. To overcome autocorrelation and heteroscedasticity problems, the authors use generalized least square panel regression. The results indicate that earnings management significantly and positively influences the stock price crash risk. Overall, the findings of this study have several implications for investors, firm managers, regulators, and policymakers in understanding the key factors that determine the stock price crash risk specifically when it comes to non-financial firms in Asian economies.

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“…We found similar results when we added analysts to report this indicator. Finally, we find that with the different influencing factors of policy uncertainty, the impact of EPU will also change, and the exposure degree of each enterprise will be different [ 6 ]. This paper analyzes and discusses how EPU affects configuration efficiency.…”

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confidence: 99%

Research and Forecast Analysis of Financial Stability for Policy Uncertainty

Dai

Zhou

2022

Computational Intelligence and Neuroscience

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The instability of financial market will have a great impact on money, bonds, and stocks and affect the economic development of society and people's lives. Therefore, it is very necessary for us to study and predict the financial stability. According to the forecast results, we will analyze and make a series of preparatory measures. First, we make a series of analyses on the structure and significance of policy uncertainty and financial stability. This paper introduces the advantages and disadvantages of the P/L model, the KLS signal method, and the BP neural network model for financial stability early warning, It is clearly pointed out that the BP neural network is more reliable and accurate, Then, the BP neural network, the ant colony algorithm, and the genetic algorithm are used to predict the opening price, closing price, highest price, and lowest price of KDJ index of Cathay Pacific Group's 5-day data. Compared with the real value, we find that the BP neural network is almost the smallest in forecasting the opening price and closing price, or the lowest price and the highest price, and has good stability, which once again proves the feasibility of applying the BP neural network to the research and prediction of financial stability.

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Economic policy uncertainty and earnings management: Evidence from Japan

Cited by 36 publications

References 56 publications

Does Environment Uncertainty Affect Earnings Management?

Does Environment Uncertainty Affect Earnings Management?

The effect of earnings management on stock price crash risk: a comparative study of developing and developed Asian economies

Research and Forecast Analysis of Financial Stability for Policy Uncertainty

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