Search results

The financial sector’s growing interest in leveraging artificial intelligence (AI) for forecasting has been noted in recent years. In this chapter, we delve into the application of AI in financial forecasting within Indonesia’s stock market. Our primary focus is to assess how AI’s prediction potential can impact investors and financial regulators in this context. Our review spans existing literature on AI and financial forecasting, recent developments in the Indonesian stock market, and ethical and regulatory concerns that surround AI in finance. Our analysis indicates that AI can enhance forecast accuracy in Indonesia’s stock exchange; however, we must also consider limitations and challenges.

Purpose: This paper aims to study the impact of adoption eXtensible Business Reporting Language (XBRL) on earnings management.

Design/methodology/approach: This study uses a sample of all firms listed on the Indonesian stock exchange, except for finance and real-estate sectors from 2012 to 2019, with a total of 2,560 firms–years with panel data analysis.

Findings: Four findings in this study are listed as follow. First, the surprising result is that accrual earnings management increase after the adoption of XBRL. Second, after the adoption of XBRL, there was an increase in real earnings management. Third, the results of the study prove that the use of Big 4 auditors will weaken the increase in real earnings management after the adoption of XBRL. Finally, this study shows that after the adoption of XBRL, it turns out that both accrual and real earnings management experienced an increase.

Originality/value: This study contributes to providing an evaluation note to IDX regulators that the goals they want to achieve have not been achieved. This study provides empirical evidence for the debate over whether the adoption of XBRL is beneficial.

Capital structure is an important factor for the company because it will be directly related to the financial condition of the company. This study aims to determine the effect of asset structure, earning volatility, and financial flexibility on capital structure.

The population in this study was 52 companies in the consumer goods industry sector on the Indonesia stock exchange (IDX) and a sample of 39 companies obtained by purposive sampling method. The research method used in this study is multiple linear regression analysis using Eviews software.

The test results in the study show that asset structure and financial flexibility have a positive effect on capital structure, while earning volatility does not affect capital structure in companies in the consumer goods industry sector on the IDX.

The results of this research can contribute to the addition of knowledge in the field of accounting, especially regarding the capital structure. Company management can use the results of this research as a reference and consideration to find out the factors that affect the capital structure so that company management can still maintain the company's survival and improve company performance.

The results of this study can contribute to the addition of knowledge in the field of accounting, especially regarding capital structure. Company management can use the results of this research as a reference and consideration to determine the factors that affect the capital structure so that company management can still maintain the survival of the company and improve company performance.

This study only uses the variables of asset structure, financial flexibility and earning volatility as independent variables. Further research is recommended to consider the use of other variables that can affect capital structure and if using the same variable is expected to use research objects that have stable or increasing asset and income values, so that asset structure variables and profit volatility can show significant results and influences.

This study is one of the few studies that examines how the effect of asset structure, profit volatility and financial flexibility on capital structure in companies in the consumer goods industry sector on the IDX. Company management must pay attention to the composition of the capital structure as well as possible and make careful planning and the right decisions so as to produce a capital structure that can provide profits.

This study aims to theoretically investigate the effect of activating corporate governance (CG) mechanisms on the association between adopting corporate social responsibility (CSR) and tax avoidance (TA). Based on the analyzing of the previous studies, the authors support the results of studies that found a positive effect for activating CG on the adoption of CSR. Also, they found that there is a negative impact of activating CG mechanisms on TA, as CG includes controls and procedures that contribute to limiting opportunistic behaviors of management and ensures making decisions that maximize value for shareholders. To the best of the authors' knowledge, it is the only chapter that examines the effect of activating CG mechanisms on the association between CSR and TA.

This study examines the role of industry competition, market capitalization, and debt levels in the relationship between profitability and firm value (FV). The sample included companies listed on the Indonesia Stock Exchange (IDX) in the manufacturing sector in 2017–2019. This study provides empirical evidence that the high level of industrial competition (IC), low level of market capitalization (market value of equity, MVE), and high levels of debt (debt-to-assets ratio, DAR) weaken the effect of profitability as measured by return on assets (ROA) on FV as measured by Tobin’s Q. Profitability is not even related to FV for firms facing high industry competition. In addition, profitability only has a marginal positive relationship with FV for firms with relatively small market capitalizations. These findings suggest that the relationship between profitability and FV is not monotonous but is influenced by the level of industry competence, market capitalization, and debt.

This chapter investigates the effect of financial performance and corporate governance on market performance, using evidence from the companies listed on the IDX30 Index of the Indonesia Stock Exchange (IDX) from 2015 to 2018. The authors use six main independent variables and one dependent variable, controlled by using control variables in the regression analysis. Ordinary least square (OLS) regression methods are used to model the relationship between the dependent variable and the independent variables. The results show that the current ratio (CR) and Board Size (BS) have a significant negative effect on stock return (SR). In contrast, the quick ratio (QR) and debt to equity ratio (DER) have a significant positive impact on SR. Both the debt to asset ratio (DAR) and Independent Board of Commissioners (BOC) have an insignificant effect on SR. This evidence suggests that the CR, QR, DER, and BS are essential factors affecting SR.

This study aims to investigate the effect of the classification of origin country of institutional shareholder (domestic, developed and developing country) and its status on stock exchange (listed and unlisted) on environmental disclosure level in Indonesian companies.

The data set comprises 474 non-financial firms listed in Indonesian Stock Exchange (IDX) for the period of 2017 to 2019. The study uses an environmental disclosure checklist to measure the extent of environmental disclosure in companies’ reports. Panel regression analysis technique is adopted to investigate the association between total percentage of shares held by institutional shareholders based on the classification of origin country and the status in stock exchange, and the extent of environmental disclosure.

The study reveals that the extent of environmental disclosure is positively and significantly associated with institutional investors from domestic, developed countries, listed and unlisted institutional investors. Further analysis shows interesting results that institutions from developing countries have a negative and significant relationship with environmental disclosure in non-sensitive industries.

The authors recognize the issue of authors’ subjectivity in the measurement process of environmental disclosure. The sample for this study encompasses Indonesian listed firms. Thus, the results may not be generalized to Indonesian unlisted firms and other countries or regions.

This study suggests managers to engage more with institutional shareholders because they have greater concern for environmental disclosure practices. The current study also suggests managers to make strong environmental policies as they are important to ensure that institutional shareholders’ investments are safe.

Given the positive impact institutional shareholders have on the level of environmental disclosure, it indirectly indicates that institutional shareholders have a strong motivation to make the world a better place.

This study offers in-depth insights into the effect of institutional ownership on environmental disclosure based on the classification of origin country and listing status of institutional investors.

This research attempts to examine bank dividend policy in Indonesia by applying the life cycle theory of dividends.

This research used secondary data gotten from two sources: banks’ annual financial statements from 2005 to 2019 and the number of observation samples was 510 from 42 banks. Random Effects Logit Model (RELM) is used to detect the influence of independent variables on Propensity to Pay Dividends (PPD) and Random Effects Tobit Model (RETM) is used to test the influence of independent variables on Dividend Payout Ratio (DPR).

The RELM results show that Retained Earnings to Total Equity (RE/TE), Retained Earnings to Total Asset (RE/TA) and bank age have a positive impact on the propensity to pay dividends (PPD) while bank growth (GRW) has a negative impact. The RETM results reveal that RE/TE, ROA and bank size have a positive impact on the dividend payout ratio (DPR) while GRW has a negative impact. This analysis also discovers that the capital adequacy ratio (CAR) and Non-performing Loans (NPL) is one important factor considered by banks in Indonesia in determining their dividend policy.

This study contributes to enriching literature in finance, especially in the life cycle theory of dividends. Also, it can be a guide to consider by investors before deciding to put their shares in banks in Indonesia.

Research on bank-specific life cycle theory is very difficult to find, especially in the Indonesian context, so this research can enrich the body of knowledge on dividend decisions.

The practice of real earnings management (REM) or earnings manipulation through the company’s real activities is increasingly widespread. Companies that want to achieve profit targets have switched from accrual-based to REM, especially in the firm family owner, who is an active manager. Our study aims to determine whether family ownership in a company will be a factor in the existence of greater REM practices. The authors collected 2,613 observational data from non-financial companies on the Indonesia Stock Exchange (IDX) during 2013–2018 using a purposive sampling method and then analyzed using panel random effect (RE) regression. The results show that family ownership significantly negatively affects abnormal operating cash flow which means that family firms are more likely to reduce operating cash flow to report higher income than non-family firms. Thus, it can be concluded that family firms in Indonesia are more likely to be involved in REM than non-family firms.

This study integrates insights from upper echelon (UE) theory and the attention-based view (ABV) to analyze how digital marketing innovation might enhance organizational performance in a pandemic context by addressing top management team (TMT) decision-making comprehensiveness and environmental dynamism.

This research utilizes a dataset collected through a questionnaire survey of 143 Indonesia Stock Exchange (IDX)-listed firms operating during the coronavirus pandemic (COVID-19). Hierarchical regression analyses were used to assess the overall hypothesis.

The authors discover that innovation in digital marketing has a beneficial effect on firm performance in a pandemic setting. The authors further find that decision comprehensiveness moderates the relationship between digital marketing innovation and firm performance with accentuated benefits in stable environments.

This study broadens the understanding of contextual factors that influence the performance benefits of digital marketing innovation and sheds light on the role of TMT decision comprehensiveness in enhancing the impact of digital marketing innovation on firm performance. In addition, the authors developed and tested a new digital marketing innovation measure.