Economic Policy Uncertainty and the Distribution of Business Operations between Parent Companies and Their Subsidiaries

Shi, Qinhe; Qiu, Weibin; Fan, Yuling

doi:10.1080/1540496x.2019.1700363

Cited by 18 publications

(3 citation statements)

References 31 publications

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“…He et al used the method of principal component analysis and established the BCC model, the sample was selected from the publicly disclosed data of 36 domestic financial listed companies, and the input-output ratios of these sample companies were output to derive objective analysis and evaluation results [9]. Shi et al selected a sample of 37 agricultural listed companies, supported by financial data for three consecutive fiscal years, to obtain the output of the sample results, and found that the lower efficiency in the financial and operational aspects of agricultural listed companies led to an overall low level of performance [10].…”

Section: Related Workmentioning

confidence: 99%

A Neural Network Model for Business Performance Management Based on Random Matrix Theory

Zhang

2022

Mathematical Problems in Engineering

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This paper uses random matrix theory to construct a neural network model for business performance management. The random sample covariance matrix of the random monitoring matrix is constructed, and the maximum eigenvalue and the minimum eigenvalue of the sample covariance matrix are solved. The ratio of eigenvalues is used to construct the eigenvalue detection index and determine the eigenvalue index detection threshold algorithm to judge the abnormal state of enterprise operation. The data of 66 listed Internet finance companies are selected, normalized, and correlation tested, and the index weights of each level are obtained using hierarchical analysis to derive the expected output of the BP neural network. Finally, the constructed BP neural network performance evaluation model is used for network training and simulation analysis, in which 192 data of 48 companies in the last four years are selected as training samples and 8 companies in the last four years are used as test samples to analyze the simulation output results. Using the original data instead of the main factor to join the BP neural network model, after two systematic optimizations, the final model with high accuracy, low mean square error, and low average error was formed. When applying the newly added data for testing, an accuracy of 95.98% was achieved for the ranking prediction, and the average deviation of 0.0021 points for the score prediction, which fully reflected the feasibility and adaptability of the model.

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Section: Related Workmentioning

confidence: 99%

A Neural Network Model for Business Performance Management Based on Random Matrix Theory

Zhang

2022

Mathematical Problems in Engineering

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“…Di Jordan, Li et al (2021) menemukan bahwa kepemilikan pemerintah menurunkan kemungkinan perusahaan mengalami default. Kepemilikan pemerintah bisa mengurangi dampak dari ketidakpastian ekonomi eksternal yang dialami perusahaan (Agrawal & Knoeber, 2001;Shi et al, 2020). Pasar saham china juga menyambut positif kepemilikan pemerintah bilamana dilihat dari likuiditas saham yang diperdagangkan (Ding & Suardi, 2019).…”

Section: Kepemilikan Pemerintahunclassified

Mekanisme Pemantauan Yang Efektif Dalam Kondisi Financial Distress

Wijaya¹,

Hermanda²

2022

Jur. Eko. Man. Akt Islam

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This study aims to explain how effective the monitoring mechanism works in conditions of financial distress. Two types of monitoring mechanisms were explored in the study namely: corporate governance and ownership monitoring mechanisms. This study uses 294 companies listed on the Indonesia Stock Exchange for 3 years. This study uses binary logistic regression to analyze the empirical data. The results of the data processing show that only the size of the board of commissioners and gender diversification can help companies deal with economic downturns. This study implies that agency theory is superior to resource dependence theory which explains that board size can optimize board performance. Abstrak Studi ini bertujuan untuk menjelaskan seberapa efektif mekanisme pemantauan bekerja dalam kondisi financial distress. Dua jenis mekanisme pemantauan dieksplorasi dalam studi yakni: tata kelola perusahaan dan mekanisme pemantauan kepemilikan. Penelitian ini menggunakan 294 perusahaan yang tercatat di Bursa Efek Indonesia selama 3 tahun. Studi ini menggunakan regresi logistik biner untuk menganalisis data empiris. Hasil olahan data menunjukkan bahwa hanya ukuran dewan komisaris dan diversifikasi gender yang mampu membantu perusahaan menghadapi kemerosotan ekonomi. Penelitian ini mengimplikasikan bahwa teori keagenan lebih unggul dibandingkan teori ketergantungan sumber daya yang menjelaskan bahwa ukuran dewan dapat mengoptimalkan kinerja dewan.

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“…Results of the study indicated the negative relationship between these variables. Shi, Qiu, and Fan (2020) examined the empirical relationship between WUC and FDI for the case of 35 Asian economies for the period of 2000-2018. The study applied VAR model to analyze the empirical results.…”

Section: Literature Reviewmentioning

confidence: 99%

Uncertainty, Financial Development and FDI Inflows: France Evidence

Smith

2021

Asian Business Research Journal

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Economic Policy Uncertainty and the Distribution of Business Operations between Parent Companies and Their Subsidiaries

Cited by 18 publications

References 31 publications

A Neural Network Model for Business Performance Management Based on Random Matrix Theory

A Neural Network Model for Business Performance Management Based on Random Matrix Theory

Mekanisme Pemantauan Yang Efektif Dalam Kondisi Financial Distress

Uncertainty, Financial Development and FDI Inflows: France Evidence

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