Statement Data Research Articles

PENGARUH LEVERAGE, UKURAN PERUSAHAAN, DAN KOMISARIS INDEPENDEN TERHADAP PENGHINDARAN PAJAK PADA PERUSAHAAN SUB SEKTOR PERDAGANGAN BESAR DAN ECERAN YANG TERDAFTAR DI BURSA EFEK INDONESIA (BEI) TAHUN 2019-2023

This study aims to determine the effect of leverage, company size, and independent commissioners as independent variables on tax avoidance as the dependent variable. The object of this research is all wholesale and retail trade subsector companies listed on the Indonesia Stock Exchange in 2019-2023. The number of samples obtained was 17 companies using purposive sampling technique. This study uses secondary data in the form of financial statement data of wholesale and retail trade subsector companies listed on the Indonesia Stock Exchange. The data analysis technique uses multiple regression analysis methods processed with SPSS. The results showed (1) the leverage variable has no effect on tax avoidance with a significance value of 0.125 > from 0.05. (2) the firm size variable affects tax avoidance with a significance value of 0.003 < of 0.05. (3) the independent commissioner variable has no effect on tax avoidance with a significance value of 0.724 > from 0.05.

Pengaruh Kredit Macet, Tingkat Efisiensi dan Likuiditas Terhadap Profitabilitas: Studi pada Perbankan Umum Konvensional yang Terdaftar di Bursa Efek Indonesia Periode 2020-2022

The purpose of this study was to determine how the influence of Bad Debt, Efficiency Level and Liquidity on Profitability both partially and simultaneously. The data used in this study are secondary data in the form of financial statement data on conventional public banking companies listed on the Indonesia Stock Exchange for the period 2020-2022. The research methods used are descriptive and associative methods with a quantitative approach. The sampling technique used in this study used a non-probability sampling approach with purposive sampling method. The data analysis techniques used are multiple correlation coefficient test, coefficient of determination, multiple linear regression test, partial test (t test) and simultaneous test (f test). Based on the results of the study, it shows that from the partial test (t test) Bad Credit (NPL) shows a result of 0.294 where tcount 1.065 < t table 2.024 with a significance value of 0.294, then the Efficiency Level shows a result of 0.000 where tcount 22.440 < t table 2.024 with a significance value of 0. 000, then Liquidity shows a result of 0.002 where tcount 3.396 < ttable 2.024 with a significance value of 0.002. the conclusion is that Bad Debt partially has no effect on Profitability while the Efficiency Level, Liquidity partially has an effect on Profitability.

Government Subsidies, Market Competition and Firms' Technological Innovation Efficiency

Based on the classification of Chinese listed companies, this paper selects the financial statement data of Chinese listed companies from 2008 to 2022 to conduct an empirical study, and the empirical results confirm that Government subsidies can promote enterprises to enhance the efficiency of technological innovation; Market competition can encourage enterprises to enhance the efficiency of technological innovation and The impact of government subsidies on the efficiency of technological innovation of non-state enterprises is more significant, while other information remains unchanged. The impact of government subsidies on the technological innovation efficiency of non-state-owned enterprises is more significant. Through empirical research, this paper understands the impact of government subsidies and market competition on the technological innovation efficiency of enterprises, which is conducive to providing a reference for the government to formulate enterprise subsidy policies.

Financial Fraud Detection Study - Based on Logit Model

The problem of financial fraud has always been a key issue of concern for researchers at home and abroad, and financial fraud of listed companies occurs from time to time at home and abroad, which produces a huge loss of interest for investors as well as the downturn and instability of the capital market, for this reason, it is necessary to carry out a study on the detection of financial fraud. This paper analyzes the financial fraud detection of Chinese listed companies by establishing a Logit model, firstly, obtain the financial statement sample data of Chinese listed companies from CSMAR, and divide the sample into training set and test set with the ratio of 9:1 to preprocess the sample data and fill in the missing values; secondly, this paper selects the financial statement data, and based on the previous research, selects the characteristics that are related to the risk of financial fraud and constitute the risk of financial fraud. high features, and constitute the feature indicators for financial fraud detection; again, since detecting financial fraud is a binary classification problem, the sample is divided into fraudulent companies and normal companies, so this paper studies the financial fraud problem through the discrete choice model in the econometric model, constructs a Logit model, conducts a goodness-of-fit test on the sample data of CSMAR, and estimates the parameters using the method of maximum likelihood estimation ; finally, the test set data is used to test the model's ability to predict financial fraud.

Research on Statistical Assessment Methods of Stock Investment Value-Taking Education Industry as Example

Abstract: This paper selects the financial statement data of 18 listed companies in the field of education and selects 9 financial indicators from the four aspects of solvency, profitability, development ability and operation ability that can reflect the comprehensive strength of listed companies. Finally, the stocks of 18 listed companies were divided into three categories: high-value stocks, potential stocks and low-value stocks according to the comprehensive strength of the companies. The results show that: (1) From the comparison between the rankings of the selected 18 stocks combined with the traditional methods by combining principal component analysis and entropy weight method, it can be seen that for the comprehensive multi-index evaluation analysis in the past five years, the ranking agreement between the two methods can reach 80% or more. Due to the unstable fluctuations of the stock market, the consistency between the analysis results and investment recommendations obtained in this paper and the actual investment situation of the stock market can also exceed 60%. (2) From the results of cluster analysis, Chuanzhi Education, Entrepreneurship Dark Horse, Guoxin Culture, China Hi-Tech and Action Education are all high-value stocks in the education category, while Meijim, Qinshang Co., Ltd., and Kaiwen Education are potential education stocks.

Boosting Islamic Bank Profitability: Governance, Disclosure, And Stakeholder Satisfaction

This study investigates how financial disclosure (SBFd), governance implementation (GGIsb), and social responsibility disclosure (SBSRd) affect profitability (SBP) and stakeholder satisfaction (SS), which are also mediating factors. This study uses a quantitative approach with secondary data in financial reports. The sample study involved 65 data of financial statements and reports annually collected during 2019-2022 from 13 Islamic Banks in Indonesia. The results show that SBFd and GGIsb positively impact SS and SBP. In contrast, SBSRd does not affect SBP and SS. Meanwhile, SS positively impacts SBP and has a good mediator effect on all correlations. This study confirms the stakeholder theory of the importance of transparency and good governance in improving the performance of finance and the mediating role of stakeholder satisfaction. Practical implications include recommendations to raise financial disclosure quality and strengthen governance mechanisms initiatives more effectively. The findings provide new insights for academics and practitioners in understanding the dynamics between operational factors and financially optimized banking sharia in the Indonesian context.

Analysis Of Financial Statement of Chinese Real Estate Enterprises-Take One Certain Company as An Example

Real estate enterprises play an important role in the economic development of China, which are directly influence the economy. Different from other enterprises, real estate enterprises have the features of high leverage, large capital demand, slow repayment and long investment period. In recent years, the central government has implemented a series of policies, real estate enterprises facing severe financial risks. It’s important for enterprises to identify and prevent the financial risks. As a representative of China's highly leveraged and large-scale real estate enterprises, the company continuously violates the "three lines and four levels" policy when it is implemented. This article analyses the financial risks of this company by collecting the company’s financial statement data from the past five years, using ratio analysis and Z-value model. By researching the data, this article finds that the company has weak debt paying ability, operational ability, and profitability in recent years, also facing high financial risks.

IT-services: Green Means Competitive?

Introduction. The current stage of economic development is characterised by significant digitalisation and a noticeable shift of corporate strategies in favour of sustainable development. The first of these trends makes IT companies interesting for analysis, since in the era of digitalisation their impact on the global economy is significant and undeniable. The second trend is largely related to the exhaustion of tangible competitive factors and the shift of focus towards intangible competitive factors, in particular, towards catering to the specific needs of consumers, i.e. in the consideration of social and environmental factors throughout value chains. In line with modern trends, meeting these needs is achieved by implementing ESG-principles, including by IT companies, which is where the two major modern trends - digitalisation and corporate sustainability intertwine. In this context, the aim of the research is to analyse the relationship between IT companies’ financial performance and their ESG position.Materials and methods. The study is based on the analysis of correlation between the data of companies' financial statements and their valuations within the framework of S&P ESG-rating. Results of the research. According to the results of the analysis on the basis of the presented data sample, no significant correlation between revenue and profit indicators (on the one hand) and ESG[1]assessments of S&P rating (on the other hand) was revealed.Discussion and conclusion. The results obtained for companies in the IT-services industry generally correspond to the results of similar calculations by the authors for a number of other industries. Of course, they reflect the situation in a particular industry, with specific indicators (profit, revenue), taking into account such limitations of the study as the methodology of the selected ESG-rating and the volume of data sampling. Nevertheless, within the framework of the study we can say that there is no significant correlation between the financial performance of IT services companies and the implementation of ESG principles by these ccompanies.

Turnaround Strategy Of Pt Indofarma Tbk

PT Indofarma Tbk experienced a decline in financial performance from 2016 to 2022 leading to corporate strategy implementation. This study aims to analyze the suitability of the strategy implemented by PT Indofarma to the theory of corporate alternative strategy. This study involved a case study method utilizing annual reports and financial statement data. BCG Matrix was applied as a portfolio analysis tool. PT Indofarma Tbk was identified in the BCG matrix in a low growth and market share quadrant. The strategy implemented by PT Indofarma to recover the company’s performance was identified as a turnaround strategy which aligns with the recommended strategy for a company that experienced low growth and low market share in the BCG matrix. This study concluded that the implementation of the turnaround strategy at PT Indofarma Tbk aligns with the recommendations by researchers for effective turnaround strategy implementation

Impact of Enterprise Supply Chain Digitalization on Cost of Debt: A Four-Flows Perspective Analysis Using Explainable Machine Learning Methodology

Rising costs, complex supply chain management, and stringent regulations have created significant financial burdens on business sustainability, calling for new and rapid strategies to help enterprises transform. Supply chain digitalization (SCD) has emerged as a promising approach in the context of digitalization and globalization, with the potential to reduce an enterprise’s debt costs. Developing a strategic framework for SCD that effectively reduces the cost of debt (CoD) has become a key academic challenge, critical for ensuring business sustainability. To this end, under the perspective of four flows, SCD is deconstructed into four distinct features: logistics flow digitalization (LFD), product flow digitalization (PFD), information flow digitalization (IFD), and capital flow digitalization (CFD). To precisely measure the four SCD features and the dependent variable, COD, publicly available data from Chinese listed manufacturing enterprises such as annual report texts and financial statement data are collected, and various data mining technologies are also used to conduct data measurement and data processing. To comprehensively investigate the impact pattern of SCD on CoD, we employed the explainable machine learning methodology for data analysis. This methodology involved in-depth data discussions, cross-validation utilizing a series of machine learning models, and the utilization of Shapley additive explanations (SHAP) to explain the results generated by the models. To conduct sensitivity analysis, permutation feature importance (PFI) and partial dependence plots (PDPs) were also incorporated as supplementary explanatory methods, providing additional insights into the model’s explainability. Through the aforementioned research processes, the following findings are obtained: SCD can play a role in reducing CoD, but the effects of different SCD features are not exactly the same. Among the four SCD features, LFD, PFD, and IFD have the potential to significantly reduce CoD, with PFD having the most substantial impact, followed by LFD and IFD. In contrast, CFD has a relatively weak impact, and its role is challenging to discern. These findings provide significant guidance for enterprises in furthering their digitalization and supply chain development, helping them optimize SCD strategies more accurately to reduce CoD.

Heterogeneity and nonlinearity in the relationship between rediscount credits and firm exports

Export credits are used extensively throughout the world to temper the negative effects of financial constraints on exports. In this paper, we focus on a particular form of subsidized export credits, namely, an export rediscount credit program implemented by the Central Bank of the Republic of Türkiye. For this purpose, we create a detailed firm-level data set that matches monthly firm-level export data with credit and financial statement data. Our results show that exports by firms that use rediscount credit increase significantly over a six-month horizon and that the amount of credit and export growth have a positive relation. Moreover, the relation between the credit amount and export volume is not linear; the correlation starts to decline after a certain point. Our results also reveal heterogeneity with respect to size: exports increase more after using rediscount credit for small firms than large firms.

Financial Constraints vs Green Practices: Impact on Firm Value Energy in Indonesia

The impact of eco-efficiency, asset turnover, green accounting, and financial limitations on business value in the energy industry on the Indonesia Stock Exchange is examined in this study for the years 2020–2022. SmartPLS 3 was used to analyze financial statement data from 52 energy sector companies using Structural Equation Modeling-Partial Least Square (SEM-PLS). The findings indicate that while financial limitations have no discernible impact on corporate value, green accounting, asset turnover, and eco-efficiency do. The results of this study have significant implications for understanding the variables affecting business performance and value in the energy industry, as well as the significance of asset turnover, eco-efficiency measures, and green accounting in raising firm value. This research is expected to contribute to practitioners, regulators, and stakeholders in Indonesia's energy sector in the future to understand the influence of these factors.

Debt distribution and ESG performance: Evidence from Chinese listed companies

Utilizing consolidated and parent company financial statement data from Chinese A-share listed companies from 2008 to 2022, this study empirically examines the impact of group debt distribution on ESG performance. The study reveals that as the proportion of debt financing assumed by the parent company increases, the ESG performance of the corporate group improves. After conducting endogeneity tests and other robustness checks, the research findings remain consistent. Further analysis shows that concentrated liabilities can improve the environmental, social, and governance performance of the group. Cross-sectional analysis demonstrates that the influence of concentrated liabilities on ESG performance is more pronounced in non-state-owned enterprises, during periods of high economic policy uncertainty, non-heavy pollution industry companies, when subsidiaries are geographically dispersed, and when there are more subsidiaries in various industries. This study provides empirical support for the positive externality of internal capital markets and offers valuable insights for ESG practices among listed companies.

Financial Failure Analysis of Airline Companies by Altman Z'' and Springate S Score Models

Financial failure is a risk that must be measured, audited, and controlled. This study measures and evaluates the financial failure risks of Turkish Airlines and Pegasus businesses. Altman Z'' and Springate S Score methods were used in the study. In the context of descriptive and cross-sectional research methods, the analysis and interpretation of data were carried out by systematically addressing quantitative data. Therefore, the financial performance of the firms in the sample was calculated and analyzed using the Altman Z'' Score and Springate S Score. The main reason for choosing these two methods is to create a combination of the most commonly used quantitative methods in the literature to objectively evaluate the financial health and performance of firms. Thus, the aim was to increase the reliability of the results and provide concrete data about the financial situation. The equations in the relevant methods were used as variables, and financial statement data between 2012 and 2023 were analyzed. The results showed that there was a general risk of financial failure, and evaluations were conducted. The results obtained were aimed at guiding researchers, industry officials, and people interested in the subject.

PENGARUH STRUKTUR MODAL, KINERJA KEUANGAN, PERTUMBUHAN DAN UKURAN BANK TERHADAP NILAI BANK YANG TERDAFTAR DI BURSA EFEK INDONESIA (BEI)

This study aims to provide empirical evidence of the influence of capital structure, financial performance, growth, and bank size on the value of Islamic banks listed on the Indonesia Stock Exchange (IDX) using the observation period from 2014 - 2019. Data collection methods using a purposive sampling method using quarterly financial statement data so that the number of observations amounted to 29 observations. The test results show that the ratio of capital structure (DER) and financial performance (ROA) as a proxy for financial performance affect the value of Islamic banks while the growth and size of the company does not affect the value of Islamic banks.

Pengaruh Efisiensi, Pertumbuhan Penjualan, Modal Kerja, dan Umur Perusahaan terhadap Profitabilitas Perusahaan

This study aims to determine the effect of efficiency, sales growth, capital working, and firm age on firm profitability in Companies publish syariah stock that listed on the Jakarta Islamic Index 70 (JII70) for the 2019 – 2023 period of 70 companies. The data used in this study were obtained from financial statement data and annual reports. The population in this study are companies that publish syariah stock that listed on the Jakarta Islamic Index 70 (JII70). The sampling technique used was purposive sampling method and obtained 185 sample data from 37 companies. The analysis technique used in this study is multiple linear regression analysis using the Statistical Package for the Social Sciences (SPSS) version 22. The results of this study indicate that efficiency and sales growth have a positive effect on firm profitabillity, capital working have a negative effect on firm profitability, and firm age has no effect on firm profitability.

Pengaruh Return On Assets, Net Profit Margin, Current Ratio, Rasio Kas Operasi, Debt To Asset Ratio terhadap Devident Payout Rasio (Studi Empiris pada Perusahaan Manufaktur Sub Sektor Food and Beverage yang Terdaftar di Bursa Efek Indonesia Periode 2019

This study aims to determine the effect of return on assets, net profit margin, current ratio, operating cash ratio, debt to asset ratio on dividend payout ratio in food and beverage sector companies listed on the Indonesia Stock Exchange for the 2019-2023 period of 95 companies. The data used in this study were obtained from financial statement data and annual reports. The population in this study are food and beverage sector companies listed on the Indonesian Stock Exchange. The sampling technique used was the purposive sampling method and obtained 250 sample data from 50 companies. The analysis technique used in this study is multiple linear regression analysis using the Statistical Package for the Social Sciences (SPSS) version 20. The results of this study indicate that net profit has a positive and significant effect on cash dividends, operating cash flow and debt policy have a negative and significant effect on cash dividends. While profitability and liquidity have no effect on cash dividends.

Pengaruh Profitabilitas, Likuiditas, Stuktur Modal, dan Kebijakan Dividen terhadap Nilai Perusahaan

This study aims to determine the effect to profitability, liquidity, capital structure and dividend policy on company value on in food and beverage sector companies listed on the Indonesia Stock Exchange for the 2019 – 2023 period of 95 companies. The data used in this study were obtained from financial statement data and annual reports. The population in this study are food and beverage sector companies listed on the Indonesia Stock Exchange. The sampling technique used was purposive sampling method and obtained 215 sample data from 43 companies. The analysis technique used in this study is multiple linear regression analysis using the Statistical Package for the Social Sciences (SPSS) version 22. The results of this study indicate that profitability has a positive and significant effect on company value, while liquidity, capital structure and dividend policy have no effect on company value.

Individualism and bank financial structure similarity

We use a sample of 75 countries to conduct the first international study of national culture on bank financial structure similarity. We construct a novel and comprehensive measure of bank financial structure similarity using banks’ financial statement data. Our empirical results show that individualism is robustly and positively associated with bank financial structure similarity, holding bank-pair levels, bank levels, and country levels equal. We find that other cultural dimensions, such as power distance, uncertainty avoidance, masculinity, and long-term orientation, have little effect on similarity. Our work also shows that financial structure similarity is correlated with higher bank risk.

Pengaruh Profitabilitas, Leverage, Sales Growth, dan Inventory Intensity terhadap Tax Avoidance

This study aims to determine the effect of Profitibality, Leverage, Sales Growth, and Inventory Intensity on Tax Avoidance in property and real estate sector companies listed on the Indonesia Stock Exchange for the 2019 – 2023 period of 93 companies. The data used in this study were obtained from financial statement data and annual reports. The population in this study are property and real estate sector companies listed on the Indonesian Stock Exchange. The sampling technique used was purposive sampling method and obtained 220 sample data from 44 companies. The analysis technique used in this study is multiple linear regression analysis using the Statistical Package for the Social Sciences (SPSS) version 22. The results of this study indicate that profitability and Leverage have a negative and Significant effect on Tax Avoidance, while Sales Growth and Inventory Intensity has no effect on Tax Avoidance.