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Journal of Accounting and Investment
ISSN : 26223899     EISSN : 26226413     DOI : 10.18196/jai
Core Subject : Economy,
JAI receives rigorous articles that have not been offered for publication elsewhere. JAI focuses on the issue related to accounting and investments that are relevant for the development of theory and practices of accounting in Indonesia and southeast asia especially. Therefore, JAI accepts the articles from Indonesia authors and other countries. JAI covered various of research approach, namely: quantitative, qualitative and mixed method.
Arjuna Subject : -
Articles 646 Documents
The influence of Indonesia’s macroeconomic factors: Inflation and interest rate on large-cap cryptocurrency herding behavior Muhamad Rizky Ramadhan; Wita Juwita Ermawati; Anna Fariyanti
Journal of Accounting and Investment Vol 24, No 2: May 2023
Publisher : Universitas Muhammadiyah Yogyakarta, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jai.v24i2.18146

Abstract

Research aims: This study aims to investigate herding behavior in the large-capitalization cryptocurrency market and analyze the role/influence of Indonesia's macroeconomic factors, namely inflation and interest rates, on herding behavior in the large-cap cryptocurrency market.Design/Methodology/Approach: This study used secondary data from the daily closing prices of five large-cap cryptocurrencies and Indonesia's macroeconomic data (inflation and interest rates) from April 2019 to December 2022 by using the Cross-Sectional Absolute Deviation (CSAD) model and Newey-West estimator regression approach to detect herding behavior with a modified independent variable model involving factors influencing herding behavior.Research findings: Based on the results using the Newey-West estimator, three main results were obtained. First, large-cap cryptocurrency investors tend to be irrational in their decisions and follow the decisions of others without reference to their beliefs or herding during the sample period. Second of the two macroeconomic factors studied, i.e., inflation and interest rates, only changes in inflation rates influence investor herding behavior. Third, the market is inefficient with the proven tendency of herding behavior in large-cap cryptocurrencies.Practical and Theoretical contribution/Originality: This study narrows down the research of previous studies by using cryptocurrency research objects with a large market capitalization (large cap). In addition, this research extends the research of previous studies by considering external factors related to macroeconomic conditions in Indonesia in general, such as the inflation rate and the interest rate. This study can provide information about financial behavior in the cryptocurrency market, especially herding behavior, so that investors and policymakers can be assisted in formulating investment strategies and regulating cryptocurrencies.Research limitation: This research was limited to using only cryptocurrency assets by not using crypto-tokens, non-fungible tokens (NFT), and other crypto-assets.
Does the income of the chief executive officer affect the quality of corporate financial statements? An evidence from industrial firms in Vietnam Quyen Thuc Doan; Tran Thi Nguyet Nga; Le Thi Men; Susilo Nur Aji Cokro Darsono
Journal of Accounting and Investment Vol 24, No 2: May 2023
Publisher : Universitas Muhammadiyah Yogyakarta, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jai.v24i2.18140

Abstract

Research aims: This study examines the relationship between the CEOs’ income and the quality of financial statements of industrial firms listed on the Ho Chi Minh Stock Exchange (HSX) during the three years from 2018 to 2020.Design/Methodology/Approach: This study investigated the influence of CEOs’ characteristics, particularly their income, on the quality of financial statements of listed firms in the Vietnamese industry by using features of information quality proposed by the International Accounting Standards Board (IASB). Ordinary Least Squares (OLS), Random Effects model (REM), Fixed Effects model (FEM), and Feasible Generalized Least Squares (FGLS) regressions were applied for empirical examinations.Research findings: The results of this study demonstrated that a CEO’s income positively affected the quality of corporate financial statements. Additionally, the analysis results confirmed the positive correlation between the firm’s size and the quality of disclosed reports, consistent with prior studies. However, this study uncovered that Big4 auditors did not influence the quality of financial statements.Theoretical contribution/Originality: This study contributes to the literature by providing a comprehensive perspective on the assessment of corporate financial statements quality and examining its association with the CEO’s income in the context of an emerging economy.Practitioner/Policy implication: The study is useful for investors and other financial statement users to assess the quality of corporate financial statements through the CEO’s profile; it also contributes as a scientific basis for firms to adjust the compensations offered to their CEOs.Research limitation: This study was limited by looking at the mono-directional impact of the CEO’s income on the financial statement quality. The following studies need a larger sample of industries and countries to strengthen the research findings. Also, further studies can broaden their perspectives to investigate the multidimensionality of this relation.
Ensemble learning with imbalanced data handling in the early detection of capital markets Putri Auliana Rifqi Mukhlashin; Anwar Fitrianto; Agus M Soleh; Wan Zuki Azman Wan Muhamad
Journal of Accounting and Investment Vol 24, No 2: May 2023
Publisher : Universitas Muhammadiyah Yogyakarta, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jai.v24i2.17970

Abstract

Research aims: This study aims to create an early detection model to predict events in the Indonesian capital market.Design/Methodology/Approach: A quantitative study comparing ensemble learning models with imbalanced data handling detected early capital market events. This study used five ensemble learning models—Random Forest, ExtraTrees, CatBoost, XGBoost, and LightGBM—to detect early events in the Indonesian capital market by handling imbalanced data, such as under sampling (RUS), oversampling (SMOTE, SMOTE-Broder, ADASYN), and over-under sampling (SMOTE-Tomek, SMOTE-ENN), weighted (class weight). Global and regional stock markets, commodities, exchange rates, technical indicators, sectoral indices, JCI leaders, MSCI, net buys of foreign stocks, national securities, and national share ownership all predicted the lowest return of Crisis Management Protocol (CMP) binary responses.Research findings: Hyperparameters and thresholds were tuned to produce the optimum model. The best model had the highest G-mean. ExtraTrees with SMOTE-ENN predicted the highest number of one-day events, with a G-Mean of 96.88%. LightGBM with SMOTE handling best predicted five-day events with an 89.21% G-Mean. With a G-Mean of 89.49%, CatBoost with SMOTE-Border handling was the best for a 15-day event. In addition, LightGBM with SMOTE-Tomek handling and 68.02% G-Mean was best for 30-day events. Further, performance evaluation scores decreased with increased prediction time.Theoretical contribution/Originality: This work relates more imbalance handling methods and ensemble learning to capital market early detection cases.Practitioner/Policy implication: Capital markets can indicate economic stability. Maintaining capital market efficacy and economic value requires a system to detect pressure.Research limitation/Implication: This study used ensemble learning models to predict capital market events 1, 5, 15, and 30 days ahead, assuming Indonesian working days. The model's forecast results are expected to be utilized to monitor the capital market and take precautions.
Political turnover and business decision: A study of Indonesian public companies Dzakiyyah Saniyyah Rahmah; Yulianti Abbas
Journal of Accounting and Investment Vol 24, No 3: September 2023
Publisher : Universitas Muhammadiyah Yogyakarta, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jai.v24i3.17565

Abstract

Research aims: This study aims to explore whether and to what extent political turnover (a change of local government head) is associated with a firm’s business decisions, such as tax avoidance and corporate investment.Design/Methodology/Approach: Using a sample of companies listed in the Indonesia Stock Exchange from 2012-2021, the authors measured the association between changes in local government leaders and business decisions using panel data regression with Driscoll Kraay’s Standard Error. The authors hand-collected data on changes in local government leaders in 183 Indonesian cities to measure political turnover and merged the data with financial variables collected from the Eikon database.Research findings: This study uncovered that local political turnover in the region of companies' headquarters was negatively associated with tax avoidance decisions. This study also found that local political turnover negatively affected corporate investment decisions during normal/non-crisis periods. Consistent with the Resource Dependence Theory, the results of this study suggest that firms treat relationships with local government as an important resource. Political turnover thus creates uncertainty on the sustainability of the resources, causing firms to adjust their business decisions.Theoretical contribution/Originality: This study provides an understanding of how changes in political conditions in Indonesia change business strategy decisions. Besides, this research area is still under-studied in Indonesia.Research limitation: Since this study focused on the uncertainty caused by political turnover, this study did not measure firms’ political connections.
Exploring illiquidity risk pre and during the COVID-19 pandemic era: Evidence from international financial markets Samuel Tabot Enow
Journal of Accounting and Investment Vol 24, No 3: September 2023
Publisher : Universitas Muhammadiyah Yogyakarta, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jai.v24i3.18139

Abstract

Research aims: Illiquidity risk is one of the complex issues that institutional investors and market participants continually face over time. It is because the constructs of illiquidity risk are sometimes complicated, robust, and not so evident in secondary markets. Hence, this study aims to empirically explore illiquidity risk before and during the COVID-19 pandemic to understand how much investors were expected to lose if they invested in stock markets during these periods.Design/Methodology/Approach: This study used a GARCH model and the Amihud illiquidity ratio to achieve its objective. Trading volumes and price returns for the JSE, CAC 40, DAX, Nasdaq, BIST 100, and SSE were from June 30, 2017, to June 30, 2019, and January 1, 2020, to December 31, 2021.Research findings: As expected, the findings revealed higher illiquidity risk during periods of financial distress, such as the COVID-19 pandemic. During the financial crisis, investors could lose up to $22268.44 a day in less developed markets, such as the JSE, while the average loss in developed markets ranged between $0.22 to $11.53 in the Nasdaq and DAX, respectively. On average, a much lower figure was observed before the financial crisis. The BIST100, CAC 40, DAX, and Nasdaq are excellent options for those seeking lower-risk premiums.Theoretical and Practitioner/Policy implication: Policies such as adequate market microstructure and greater transparency in trading are strongly recommended for less developed markets, especially during periods of financial distress. Also, the findings of this study provide valuable insight into short-term traders and market participants attracted to liquid markets, where they can easily enter and exit their positions with minimal transaction costs. To the author's knowledge, this paper is the first to model illiquidity risk in stock markets.Research limitation/Implication: It is possible that the current study did not accurately capture the cost of illiquidity in the sampled financial markets and cannot be applied to other financial markets.
The effect of corporate governance on earnings management moderated by political connection Rini Adriani Auliana; Bambang Subroto; Imam Subekti
Journal of Accounting and Investment Vol 24, No 3: September 2023
Publisher : Universitas Muhammadiyah Yogyakarta, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jai.v24i3.17390

Abstract

Research aims: This research aims to prove the effect of independent commissioner performance and audit committee expertise on earnings management to avoid earnings decreases and political connections to strengthen independent commissioner performance and audit committee expertise to limit earnings management.Design/Methodology/Approach: The population was manufacturing firms listed on Indonesian Stock Exchange during 2017-2020. The sampling technique used purposive sampling with a sample of 102 firms for four years or 408 observations. Then, hypothesis testing employed multiple regression analysis and hierarchical regression analysis.Research findings: The results showcased that accrual earnings management and abnormal discretionary expenses were used by managers to avoid decreases in earnings. On the other hand, corporate governance, like audit committee expertise, could be used to limit earnings management. While the political connection could strengthen and weaken the effect of independent commissioner performances in limiting earning management, political connections could not strengthen audit committee expertise in limiting real and accrual earnings management.Theoretical contribution/Originality: This research contributes to the political connection and earning management literature and provides empirical evidence of agency theory, positive accounting theory, prospect theory, and resource dependence theory.Practitioner/Policy implication: This research contributes to investors in determining investment decisions.Research limitation/Implication: The limitation of this research is that independent variables only used two components of corporate governance, i.e., the independent commissioner performances and audit committee expertise, so the level of influence of the independent variables on the dependent was small.
Predicting whistleblowing intention using the whistleblowing triangle Putu Wenny Saitri; I Wayan Suartana; Eka Ardhani Sisdyani; I Ketut Sujana
Journal of Accounting and Investment Vol 24, No 3: September 2023
Publisher : Universitas Muhammadiyah Yogyakarta, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jai.v24i3.17030

Abstract

Research aims: The increasing number of fraud cases has significantly raised the whistleblower mechanism's role. Therefore, this study investigates the impact of the whistleblowing triangle on whistleblowing intention. The whistleblowing triangle combines the theory of fraud triangle and the theory of planned behavior to predict whistleblowing intention. The reporting system is required in an organization expected to strengthen the fraud prevention system related to increasing fraud cases.Design/Methodology/Approach: This research was conducted in the village credit institution listed in Denpasar. This selection was due to Denpasar having become Bali's second-highest number of fraud cases. Thus, it is necessary to understand whether the whistleblowing triangle can deter fraud. The research sample was selected among Village Credit Institution (VCI) employees in Denpasar using accidental sampling and generating 80 employees as respondents. This study used multiple regression analysis to test the hypotheses.Research findings: The results revealed that the whistleblowing triangle's components impacted whistleblowing intention. The intention to report fraudulent behavior was negatively impacted by pressure, while it was positively affected by opportunity and rationalization.Theoretical contribution/Originality: Most previous studies have investigated whistleblowing intention using the fraud triangle and theory of planned behavior separately. Meanwhile, this study used the whistleblowing triangle, combining fraud and planned behavior theory to predict whistleblowing intention.Research limitation: This study omitted financial incentives included in the previous research.
The determinants of China’s outward foreign direct investment in ASEAN: A panel ARDL approach Unggul Heriqbaldi; Naufira Deilya Mufiidah
Journal of Accounting and Investment Vol 24, No 3: September 2023
Publisher : Universitas Muhammadiyah Yogyakarta, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jai.v24i3.18256

Abstract

Research aims: This paper aims to examine factors influencing China's outward foreign direct investment (FDI) in ASEAN economies.Design/Methodology/Approach: The Kao panel cointegration approach and the Panel ARDL model were used in this study to estimate the long-run and short-run relationship between variables. This method is deemed superior to other panel models since it is advantageous when dealing with non-stationary variables at the level or I(1).Research findings: The estimation results provide empirical evidence that in the long run, ASEAN market size, exchange rate, import and export levels between China and ASEAN countries, inflation rate, and institutional factors such as the index of corruption control and political stability are the primary determinants of the flow of outward foreign direct investments from China to ASEAN economies. Theoretical contribution/Originality: This study provides additional evidence regarding the factors influencing direct investment flow from the home country to the host country, known as an outward foreign direct investment (OFDI). Previous studies have robustly proven that OFDI flows are influenced by factors such as the resources and market size of the host country, as predicted by location theory. This study further provides evidence that host country trade policy, the level of competitiveness demonstrated by favorable exchange rates, and institutional factors like corruption control and political stability are other important determinants in the context of China’s OFDI in ASEAN countries.Practitioner/Policy implication: Maintaining open trade policy, a competitive exchange rate and significant improvement in law and order would be suitable policies for ASEAN economies to attract more investment from China and other countries.Research limitation/Implication: This study did not cover other variables, such as investment facilities provided by the host government. In addition, economic packages like tax holidays and import-tariff discounts are common policies ASEAN countries provide. Hence, this variable can be considered in future research. 
Pranatamangsa agricultural accounting: Regulated fees as guarantees for farmers' income at cost-revenue exchange rates Whedy Prasetyo; Yosefa Sayekti
Journal of Accounting and Investment Vol 24, No 3: September 2023
Publisher : Universitas Muhammadiyah Yogyakarta, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jai.v24i3.18458

Abstract

Research aims: Pranatamangsa calendar serves as a local wisdom genius to determine agricultural accounting for farmers' income.Design/Methodology/Approach: A qualitative method with an eco-phenomenology approach was used to reveal season markers.Research findings: Agricultural accounting presence through yield calculation embodies Farmer Exchange Value as income, with the use of pranatamangsa to increase harvest. This calculation is based on the calculation of planting costs to make the cost components that can be calculated, namely input and output costs to be managed by farmers as a formulation of farmer income, which is about costs paid (Ib) with prices received (It) added to the season factor as cost-revenue exchange rate determinants.Theoretical contribution/Originality: Agricultural accounting becomes an aspect based on concern for setting seasons. Disclosure or reporting of seasons through pranatamangsa agricultural accounting reports is the cost-revenue exchange rate as farmer income.Practitioner/Policy implication: The formulation that becomes farming income is multiplying the paddy production amount by the selling price of paddy per ton. The formulation considers the season factor as a determinant of harvest production. This formulation produces integrated, relevant agricultural accounting information based on season markers.Research limitation/Implication: It is necessary to further develop the results of public awareness as a form of the presence of agricultural accounting. Furthermore, research methods can use a positivist approach with harvest variable determinants. In addition, descriptive, causal, and qualitative studies can use ethnomethodology or phenomenology based on participant observation as a complete source.
Analysis of SDGS research: The relationship between climate change, poverty, inequality, and food security: The Indonesian context Wiharta Dewananda; Driana Leniwati; Agung Prasetyo Nugroho Wicaksono
Journal of Accounting and Investment Vol 24, No 3: September 2023
Publisher : Universitas Muhammadiyah Yogyakarta, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jai.v24i3.19323

Abstract

Research aims: This study investigates the linkages between climate change, inequality, and food security. The study attempts to provide an understanding of the evolution of publications on the topic to identify key emerging themes and policy prescriptions.Design/Methodology/Approach: Mixed methods, bibliometric analysis, and content analysis were employed to examine emerging themes in the literature on climate change, inequality and poverty, and food insecurity in Indonesia. The bibliometric data used were taken from the Gscholar database for 2018-2023.Research findings: The study generated six research themes based on the analyzed literature: (1) Human resource management and wealth redistribution through zakat; (2) Agricultural adaptation to climate change and the concept of sustainable agriculture; (3) Policies or rules applied by the government to regulate the agricultural sector; (4) Limited access to resources, loss of employment, and income in food insecurity among households; (5) Poverty alleviation strategies in reducing inequality and improving the quality of human life; and (6) Comprehensive and sustainable planning to identify challenges, opportunities, policies, inclusive economy, and food security.Theoretical contribution/Originality: This study analyzes and uncovers emerging topics in the field and their contributions to the literature, as well as persistent gaps, and provides future research directions based on emerging themes and policy prescriptions.Practitioner/Policy implication: This study can be used by the government as a regulator and financial institutions as a means of financing and academics.Research limitation/Implication: Future research is expected to examine: (1) The planning of government agencies in mobilizing local resources; (2) The role of zakat institutions in poverty alleviation programs; (3) Sustainable agriculture models; (4) CWLS Green Sukuk financing models; (5) The role of microfinance institutions in poverty alleviation programs; and (6) Studies on cultural economy.

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