Do the burst of financial crisis and European Union membership impact Earnings Management. Evidence from emerging Eastern European countries

Callao, Susana; Jarne, José Ignácio Jarne; Wróblewski, David

doi:10.5771/0949-6181-2020-4-608

Cited by 4 publications

(3 citation statements)

References 66 publications

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“…Orlowski provided evidence that deeper integration of capital markets in the European Union actively contributes to real GDP growth [ 22 ]. Callao et al found that after joining the EU, it is conducive to earnings management and benefits the enterprise by analyzing a sample of 4,627 firms from four developing Eastern European countries [ 23 ]. However, Vermeulen researched the negative impact of EU eastern enlargement on the performance of SMEs in the new border areas [ 24 ].…”

Section: Literature Reviewmentioning

confidence: 99%

[Retracted] Can European Union (EU) Enlargement Boost Regional Economic Common Growth? Multi‐Period Difference‐in‐Difference (DID) Method

Zhao

Shi

2022

Journal of Environmental and Public Health

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Under the dual background of Britain’s blatant “Brexit” and the steady “expansion” of the European Union (EU) audit list, the economic effect of the development of regional alliances, in the end, is a question worthy of in-depth discussion. Using data from a sample of 27 EU member states from 2000 to 2018, this study examines and compares the impact of EU enlargement on economic growth for countries as a whole, developed and developing countries, and Central and Eastern European (CEE) countries using a multi-period difference-in-difference (DID) method and explores the mechanisms underlying that. The results show that EU enlargement contributes to the expected regional economic growth, and the effect is more evident in developed countries and CEE countries; the robustness of the results is tested by the dynamic effect test and counterfactual method; EU enlargement improves the spatial allocation of factor markets through regional integration, increases productivity, and positively promotes the overall national economic growth. As a typical quasi-natural experiment of the development of regional integration, the research results of this study on the enlargement of the EU provide a useful reference for the promotion of the development of cross-administrative integration around the world.

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Section: Literature Reviewmentioning

confidence: 99%

[Retracted] Can European Union (EU) Enlargement Boost Regional Economic Common Growth? Multi‐Period Difference‐in‐Difference (DID) Method

Zhao

Shi

2022

Journal of Environmental and Public Health

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“…Nordhaus (2018) believes that the economic growth rate of 3% represents a level for maintenance, which depends on labr freedom, monetary freedom and trade freedom, as elements of economic freedom. According to Nordhaus & Boyer (2000), analyzing trends showed that economic freedoms influence the exit from the crisis, and then the growth and development of the country (Nordhaus & Boyer, 2000;Radovanović, Grandov & Filijović, 2019;Callao, Jarne, Wroblewski, 2020). Based on their research, Gregory, Romer and Weil (1992) believe that the growth of financial performance in retail development depends on the integrity of the government in the creation of economic policies, which represents the parameters of economic freedom and foreign direct investment.…”

Section: Review Of the Literature And Previous Researchmentioning

confidence: 99%

The challenges of economic freedom and the influence on financial performance of China's development: A strategic approach

Milovanović,

Marković,

Vujičić-Stefanović

et al. 2024

Strategic Management

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Background: As one of the world's most important economies, China has faced the problems and challenges caused by geopolitical changes, the consequences of the COVID-19 coronavirus pandemic, financial crises and other challenges in the last decade to the fullest extent. An overview of previous research studies shows the effects of partial elements of economic freedom on the financial performance of China's development. The focus of our research is on a strategic approach to the given problem, taking into account the possibility of modeling and improving the situation in response to new challenges and problems in the future. Purpose: The focus of the work is aimed at measuring the impact of economic freedoms on foreign direct investment decisions and the financial performance of China's development. Based on that, the main goal of the work is to model and determine new elements for improving the model based on a strategic approach. Study design: The research revealed that a strategic approach through the elements of economic freedom is an important factor of the model we investigated and represents the improvement of the situation and can contribute to the improvement of the financial performance of China's development. Findings: Based on the research, we obtained the result of a high degree of direct dependence and a positive correlation of the impact of economic freedom and strategic decisions on foreign direct investment on the financial performance of China's development. Economic freedoms represent a significant influencing factor and provide opportunities for the improvement of a model based on a strategic approach. Limitations: The limitations of the research refer to the unpredictable state of geopolitical changes in the world, which directly reflect on many factors of the model. Future research directions can be directed towards measuring which countries make up the largest part of China's foreign direct investments, as well as how much their influence is.

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“…Among them, K is the number of types of covariates, O k represents the observation frequency of the k-th covariant type, E k represents the prediction frequency of the k-th covariant type, and the degree of freedom is the difference between the number of covariate types and the number of parameters [5].…”

Section: Statistics and Aimentioning

confidence: 99%

Financial Crisis Prediction Model of Listed Companies Based on Statistics and AI

Wang

2022

Scientific Programming

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In the fierce market competition, companies are constantly facing the threat of falling into GFC. A global financial crisis refers to a crisis in global financial assets or financial institutions or financial markets. However, the threat of a global financial crisis (GFC) is not helpless, but can be predicted in advance. Therefore, building a GFC prediction model is of great significance to the development of the company. This article mainly studies the GFC prediction model of listed companies based on statistics and AI methods. This paper chooses to determine the number of training samples and test samples as 40 and 16 respectively, that is, 8 companies are randomly selected as test samples from financial health companies and GFC companies respectively, and the remaining 40 become training samples. According to the primary selection of characteristic indicators, this paper adopts the frequency statistics method, that is, the higher frequency is selected through the previous research, and the indicator selection is made on this basis. This article will use the Kolmogorov–Smimov (K-S test) goodness-of-fit test method. Each of the early warning indicators selected in this article should be able to distinguish between GFC and non-GFC companies, so the selection should be made by indicators one by one. Bring the indicators of each year into the factor function formula obtained by factor analysis, and get a new variable group. Then SPSS16.0 was used for binomial logistic regression analysis for each year. This article uses KMO and Bartlett identification. The assumption of the sphericity test of the Bartlett test is that the correlation coefficient matrix is an identity matrix, and statistics are obtained according to the matrix formula of the correlation coefficient matrix. The prediction accuracy of the nonlinear combination discriminant method has been improved in the first three years of the GFC, and in the year (t − 3), which is a little far away from the crisis time, the accuracy rate has reached 83%. The results show that the combination of statistics and AI has a significant effect on improving the prediction accuracy of the GFC prediction model of listed companies.

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Do the burst of financial crisis and European Union membership impact Earnings Management. Evidence from emerging Eastern European countries

Cited by 4 publications

References 66 publications

[Retracted] Can European Union (EU) Enlargement Boost Regional Economic Common Growth? Multi‐Period Difference‐in‐Difference (DID) Method

[Retracted] Can European Union (EU) Enlargement Boost Regional Economic Common Growth? Multi‐Period Difference‐in‐Difference (DID) Method

The challenges of economic freedom and the influence on financial performance of China's development: A strategic approach

Financial Crisis Prediction Model of Listed Companies Based on Statistics and AI

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