p-Index From 2021 - 2026
4.266
P-Index
This Author published in this journals
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
Claim Missing Document
Check
Articles

Found 5 Documents
Search
Journal : Quantitative Economics and Management Studies

Risk Analysis of Electricity Demand at Public Electric Vehicle Charging Stations (SPKLU): CVaR Model Approach Teuku Sadri Ramadhan; 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.qems2580

Abstract

The electricity demand at Public Electric Vehicle Charging Stations (SPKLUs) exhibits significant volatility, which is driven by several aspects including electricity demand patterns at specific time intervals, load variability, SPKLU capacity, and other related factors. The variability of these swings can present hazards for SPKLU operators in relation to energy administration as well as operational and financial hazards. The objective of this study is to assess the risk associated with energy demand fluctuation at SPKLUs by employing the Conditional Value-at-Risk (CVaR) model technique. CVaR, or Conditional Value at Risk, is a quantitative measure of risk that calculates the predicted loss value in the most unfavorable situation. It is commonly employed to enhance the risk management approach of SPKLUs. The electricity demand at SPKLU exhibits significant volatility, with an average fluctuation of 10.15% and a standard deviation of 49.67%. The CVAR, calculated at -121.19% for a confidence interval of 1%, represents the maximum potential loss that could be experienced during worst-case electrical demand conditions, highlighting the substantial fluctuations in demand. The study initially implemented the CVaR model to analyze power demand at SPKLU, providing novel perspectives on risk reduction for critical infrastructure and proposing unique strategies for managing demand fluctuations in a reliable and efficient manner. The results also offer comprehensive insights into risk exposure and facilitate the formulation of well-informed and strategic risk management plans.
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.
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.