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All Journal Jurnal Manajemen dan Agribisnis ESENSI: JURNAL BISNIS DAN MANAJEMEN Signifikan : Jurnal Ilmu Ekonomi ETIKONOMI Economic Journal of Emerging Markets Jurnal Siasat Bisnis Jurnal Ekonomi Kuantitatif Terapan MATRIK: JURNAL MANAJEMEN, STRATEGI BISNIS, DAN KEWIRAUSAHAAN Jurnal Manajemen Teknologi Jurnal Keuangan dan Perbankan JDM (Jurnal Dinamika Manajemen) Trikonomika: Jurnal Ekonomi Journal of Economics, Business, & Accountancy Ventura JAM : Jurnal Aplikasi Manajemen Indonesian Journal of Business and Entrepreneurship (IJBE) Jurnal Ekonomi Pembangunan: Kajian Masalah Ekonomi dan Pembangunan EKOMBIS REVIEW: Jurnal Ilmiah Ekonomi dan Bisnis MIX : Jurnal Ilmiah Manajemen Jurnal Maneksi (Management Ekonomi Dan Akuntansi) Asia-Pacific Management and Business Application Substansi: Sumber Artikel Akuntansi Auditing dan Keuangan Vokasi IJHCM (International Journal of Human Capital Management) Jurnal Bisnis dan Manajemen Economica: Jurnal Ekonomi Islam Jurnal Ekonomi dan Bisnis Syntax Literate: Jurnal Ilmiah Indonesia Inovasi : Jurnal Ekonomi, Keuangan, dan Manajemen Jurnal ASET (Akuntansi Riset) Jurnal Riset Akuntansi dan Keuangan Fair Value: Jurnal Ilmiah Akuntansi dan Keuangan Jesya (Jurnal Ekonomi dan Ekonomi Syariah) JABM JOURNAL of ACCOUNTING - BUSINESS & MANAGEMENT International Journal of Economics Development Research (IJEDR) Quantitative Economics and Management Studies BISMA (Bisnis dan Manajemen) Economic Reviews Journal Proceeding of the International Conference on Family Business and Entrepreneurship (ICFBF) Indonesian Capital Market Review Eduvest - Journal of Universal Studies Prosiding Seminar Nasional dan Call Paper STIE Widya Wiwaha
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The Influence of Liquidity on Bond Credit Ratings: Evidence from The Indonesian Corporate Bond Market Firly Armanda; Buddi Wibowo
Quantitative Economics and Management Studies Vol. 5 No. 3 (2024)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.qems2659

Abstract

This study examines the effectiveness of various liquidity proxies in distinguishing between Investment Grade (IG) and High Yield (HY) bonds within the Indonesian corporate bond market. Utilizing logistic regression models across a dataset of 30,738 observations for IG bonds and 176 observations for HY bonds, we evaluated the impact of six liquidity proxies: Range Measure (RG), Hui Heubel ratio (HH), Market Share (MS), Interquartile Range (IR), Imputed Roundtrip Cost (IRC), and Trading Volume (TV). The findings reveal that the Imputed Roundtrip Cost (IRC) is the most reliable indicator of liquidity, demonstrating a significant negative relationship with the likelihood of a bond being classified as IG. This suggests that higher IRC values, which represent higher transaction costs, are associated with lower liquidity. In contrast, the other proxies, including the Hui Heubel ratio, did not show consistent or significant impacts in line with the hypotheses. The study concludes that IRC is the best measure for assessing liquidity in the Indonesian corporate bond market.
Comparative Analysis of Value-at-Risk in Market Risk Prediction in Banks Using GARCH Volatility Girindra Chandra Alam; Buddi Wibowo
Quantitative Economics and Management Studies Vol. 5 No. 3 (2024)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.qems2661

Abstract

This study aims to compare the disclosure of Value at Risk (VaR) in market risk prediction among banks in Indonesia. By employing comparative and analytical methods, this research examines the effectiveness of VaR disclosure as a market risk prediction tool. Through the evaluation of VaR models disclosed by Indonesian banks and their comparison to a parametric model using asymmetric GARCH volatility for Variance Covariance Value at Risk, this study identifies the extent to which VaR disclosure can be relied upon to predict market risk. This research contributes to the understanding of risk management practices in the Indonesian banking sector and offers recommendations for improving market risk prediction accuracy through more effective VaR disclosures.
Herding behavior and sentiment: pre and post-investor domicile code closure in Indonesia stock exchange Subhiksa, Siwa Kantha; Wibowo, Buddi
Fair Value: Jurnal Ilmiah Akuntansi dan Keuangan Vol. 4 No. Spesial Issue 4 (2022): Fair Value: Jurnal Ilmiah Akuntansi dan Keuangan
Publisher : Departement Of Accounting, Indonesian Cooperative Institute, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Previous research has shown mixed results regarding herding behavior in Indonesia. Furthermore, this article analyzes herding behavior in the Indonesian capital market, especially in the conditions before and after the closure of the investor's domicile code as of June 27 2022, by the Indonesian Stock Exchange (IDX). This regulation concerns the closing of foreign and domestic broker codes, which are considered capable of causing herding behavior. Additionally, investor sentiment was also reviewed as a factor that might be contributed to the mixed results of herding behavior in Indonesia. A sample of 607 companies before domicile code closure and 681 companies after domicile code closure were tested using a combination of CSSD and CSAD. The two approaches used to measure show non-significant results of herding both pre and post-closure of domicile code. Investor sentiment was also not seen as a factor that contributed to herding since herding is also non-significant during low or high sentiment before and after the domicile code's closure. Different methods and influencing factors should be considered for further research.
Compliance Risk Management Tax Supervision of Village Government Agencies: Case Study of KPP Pratama Jember Akbar, Moh Abrori; Wibowo, Buddi
SUBSTANSI Vol 8 No 2 (2024): JURNAL SUBSTANSI
Publisher : Politeknik Keuangan Negara STAN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35837/subs.v8i2.2884

Abstract

Research objective: This research aims to create a compliance risk map for village government agencies (IPDes) in KPP Pratama Jember, to inform monitoring and education priorities Method: In-depth interviews were conducted and analyzed qualitatively using thematic analysis to gain a deeper understanding of the phenomenon under study and machine learning techniques were utilized for data mapping Research findings: The resulting risk map categorized 14 IPDes as high-risk, prioritizing them for targeted supervision and intervention efforts. Practical implication: This research is expected to provide additional insights into the application of CRM to IPDes. The development of IPDes CRM needs to be considered by the Directorate General of Taxes (DGT) to be realized considering that no tool can be used to prioritize IPDes supervision. Furthermore, this study can be a trigger for the development of CRM at the national level, and village tax compliance can be a variable in the distribution of regional transfers Keywords: Compliance Risk Management, village government agencies (IPDes), village income and expenditure allocations (APBDes).
Analisis Pengaruh Perhatian Investor pada Masa Penawaran Umum Perdana (IPO) terhadap Volatilitas Harga Saham Pasca IPO Ahmad Dwi Murdani* dan Buddi Wibowo Murdani, Ahmad Dwi; Wibowo, Buddi
Economic Reviews Journal Vol. 4 No. 1 (2025): Economic Reviews Journal
Publisher : Masyarakat Ekonomi Syariah Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56709/mrj.v4i1.622

Abstract

This study examines the effect of investor attention during the Initial Public Offering (IPO) period on the stock prices volatility after the shares are listed and traded on the Indonesia Stock Exchange (IDX). This study uses data on the shares of issuers who have conducted an IPO on the IDX after the implementation of the electronic Initial Public Offering (e-IPO) mechanism, with the aim of being able to capture the phenomenon of retail investor behavior. The method used in this study is the regression method. This study shows that the level of investor attention during the IPO period influences the stock price volatility on short-term dan medium-term investment horizon.
The Impact of International Portfolio Flows on Exchange Rate Volatility in Emerging Markets in Asia Shasazuhni, Mohamad; Wibowo, Buddi
International Journal of Economics Development Research (IJEDR) Vol. 5 No. 5 (2024): International Journal of Economics Development Research (IJEDR)
Publisher : Yayasan Riset dan Pengembangan Intelektual

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37385/ijedr.v5i4.4372

Abstract

This research explores how inflows of stock and bond portfolios impact the level of volatility in exchange rates, using monthly data from the United States vis a vis seven emerging Asia countries (China Mainland, China Taiwan, The Philippines, India, Indonesia, Malaysia, and Thailand) between 2010 and 2022. The study uses statistical models such as Ordinary Least Square (OLS), Generalized Autoregressive Conditional Heteroscedasticity (GARCH), and Threshold Generalized Autoregressive Conditional Heteroscedasticity (TGARCH). The findings indicate that net stock and net bond flows have a significant impact on exchange rates volatility, and net stock flows have a more significant impact on exchange rates volatility rather than net bond flows..
Comparative Analysis of Hedging Effectiveness in Indonesia’s National Electrical Company: An Evaluation of Ordinary Least Square (OLS), General Autoregressive Conditional Heteroskedasticity (GARCH) and Naïve Dollar-Offset Models Asrudin, Rudi; Wibowo, Buddi
Quantitative Economics and Management Studies Vol. 5 No. 4 (2024)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.qems2697

Abstract

This study evaluates the hedging effectiveness of Indonesia’s national electrical company, PT PLN (Persero), by comparing Ordinary Least Squares (OLS), Generalized Autoregressive Conditional Heteroskedasticity (GARCH), and Dollar Offset models. Using transaction data from 2018-2023, the analysis shows that the OLS model explains 48.8% of the variance in forward rates, indicating high effectiveness. The GARCH model, while capturing dynamic volatility with an average effectiveness of 4.32%, demonstrates the need for advanced models in volatile conditions. The Dollar Offset method, despite its simplicity, shows a moderate effectiveness of 19.03%. Combining these methods can enhance hedging strategies, providing robust risk management. Future research should expand data sources and periods to further validate findings.
A Comparative Analysis of Asymmetric Transmission across Monetary Policy Regimes on Interest Rate Pass-Through in Indonesia’s Banking Sector Stefano, David; Wibowo, Buddi
Quantitative Economics and Management Studies Vol. 6 No. 3 (2025)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.qems3985

Abstract

This study examines the interest rate pass-through mechanism in Indonesia by analyzing how changes in the central bank policy rate are transmitted to commercial bank lending and deposit rates. The research focuses on two monetary policy regimes implemented by Bank Indonesia, namely the BI 7-Day Reverse Repo Rate and the new BI Rate introduced after December 2023. Using monthly time-series data from August 2016 to January 2025, the study employs the Error Correction Model and Mean Adjusted Lag to evaluate both the short-term and long-term dynamics of interest rate transmission. The Johansen Cointegration Test is also applied to identify the existence of long-run equilibrium relationships between the policy rate and banking interest rates. The results show that the pass-through process is asymmetric, with lending rates responding more quickly to policy rate increases than deposit rates do to policy rate decreases. The analysis also reveals variation in the speed and completeness of pass-through across the different policy regimes. Specifically, the new BI Rate demonstrates a shorter lag in transmission, suggesting improved responsiveness of the interest rate channel under the updated framework. These findings highlight the evolving nature of monetary policy effectiveness in Indonesia’s financial system and provide a better understanding of interest rate dynamics in an emerging market context.
PROBABILITY OF DEFAULT, INTEREST MARGIN, AND BANK EFFICIENCY: EMPIRICAL TEST OF MERTON MODEL IN INDONESIAN BANKING Wibowo, Buddi
Jurnal Aplikasi Manajemen Vol. 15 No. 2 (2017)
Publisher : Universitas Brawijaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (147.809 KB) | DOI: 10.21776/ub.jam.2017.015.02.05

Abstract

Measurement of bank failure risk is still a challenging research problem. This study is aimed to measure the Indonesia banks probability of bankruptcywith Model Merton which has the better predictive power and is based on a far stronger financial theoretical frameworkcompared to the popular bankruptcy prediction model which is categorized by Sundaresan (2013) as a theoretical model such as Altman Z-score model and Ohlson 0 score more popular. The study also examine the relationship of bank efficiency and market power with its probability of default. The test results demonstrate that bank efficiency significantly affects the dynamics of bank's default risk.
Integration of Green Innovation in Default Risk Management with Altman's Z"-Score and ZMIJEWSKI'S Zm-Score Jemitra, Jemitra; Wibowo, Buddi
Eduvest - Journal of Universal Studies Vol. 5 No. 9 (2025): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v5i9.51361

Abstract

This study analyzes the effect of green innovation on the default risk of non-financial companies in Indonesia and China during the period 2018–2024. Both countries were selected because they have banking-based financial systems but face different environmental challenges. Default risk is measured using a combined accounting-based approach, namely Altman's Z”-Score, and Zmijewski's ZM-Score. The estimation results using the Fixed Effect Model show that in aggregate, green innovation has no significant relationship with default risk. However, when analyzed per country, the effect of green innovation is proven to be significant and negative on default risk in companies in China, while in Indonesia the relationship is not statistically significant. These findings indicate that the effectiveness of green innovation as a financial risk mitigation strategy is greatly influenced by institutional readiness and national policies. This study provides important insights for policymakers and market players in developing countries regarding the importance of supporting the green innovation ecosystem to strengthen financial stability.