Muhammad Budi Prasetyo
Department Of Management, Faculty Of Economics And Business, Universitas Indonesia, Depok, 16424, Indonesia

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Opportunities and Challenges in Developing Islamic Pension Funds in Indonesia Rahmatina Awaliyah Kasri; Banu Muhammad Haidlir; Muhammad Budi Prasetyo; Tika Arundina Aswin; Fenny Rosmanita
ETIKONOMI Vol 19, No 2 (2020)
Publisher : Faculty of Economic and Business

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/etk.v19i2.16284

Abstract

Despite the rapid development of the Islamic financial sector in Indonesia, the development of Islamic pension funds is way behind those of the other Islamic financial sectors. This study aims to explore the opportunities and challenges faced by Indonesian Islamic pension funds. Utilizing a qualitative research method, the study conducted Focus Group Discussions with 23 large pension funds spread across five big cities in Indonesia. It was revealed that opportunities and prospects for developing Islamic pension funds in Indonesia are relatively good. However, various internal and external challenges were found, such as a lack of knowledge; the weak commitment of founders; lack of quality human resources; relatively unfavorable tax treatment; limited investment instruments; competition with government pension schemes; and public literacy problems.  Therefore, two broad strategies are recommended to develop the Islamic funds, namely the provision of direct/indirect incentives to market players, and literacy programmes to targeted/priority groups. These strategies are expected to encourage and accelerate the growth of Indonesia's Islamic pension fund industry in the future.JEL Classification: H55, H75, J32How to Cite:Kasri, R. A., Haidlir, B. H., Prasetyo, M. B., Aswin, T. A., Rosmanita, F. (2020). Probability of Paying Zakat from Micro Financing Project Return. Etikonomi: Jurnal Ekonomi, 19(2), 311-322. https://doi.org/10.15408/etk.v19i2.16284.
Day-of-the-Week Effect and Investors’ Psychological Mood Testing in a Highly Mispriced Capital Market Rizky Luxianto; Usman Arief; Muhammad Budi Prasetyo
Journal of Indonesian Economy and Business (JIEB) Vol 35, No 3 (2020): September
Publisher : Faculty of Economics and Business, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jieb.54377

Abstract

Research Aims: This research examines investors’ psychological moods which cause day-of-the-week anomalies in highly mispriced stock markets. Design/methodology/approach: We use a sample from the Indonesian capital market as, in the Asian region, this country is considered to have a highly mispriced capital market. We decompose the stock price index in Indonesia into speculative, less speculative, and non-speculative indexes. We employ the mean and variance regressions to control the heteroscedasticity and serial correlation. Novelties: Our novelties are two fold. We postulate a method to decompose stock price indexes in Indonesia (the JKSE, LQ 45, and Kompas 100) into speculative, less speculative, and non-speculative indexes. Secondly, we estimate the mean and variance levels simultaneously to get a robust estimation result of the anomaly. Research Findings: We empirically find that the behavior mood hypothesis is supported only during normal periods, when investors tend to be irrational and use their good mood to trade on speculative stocks on a Wednesday and sell them on Monday. In other periods, rationality and psychological effects play a role with Indonesian investors, when their mood is good they are more active in trading less speculative stocks, to avoid higher risks and earn higher returns from those less speculative and non-speculative stocks.
Risk-Adjusted Returns and Spillover Dynamics among Emerging Digital Currencies Zaäfri Ananto Husodo; Md. Bokthiar Hasan; Humaira Tahsin Rafia; Masagus M. Ridhwan; Gazi Salah Uddin; Muhammad Budi Prasetyo
Journal of Islamic Monetary Economics and Finance Vol. 11 No. 2 (2025)
Publisher : Bank Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21098/jimf.v11i2.2771

Abstract

This study investigates the interconnected dynamics among diverse digital currencies, specifically focusing on risk-adjusted returns, tail risks, dynamic spillovers, and portfolio implications. Unlike prior research, which typically examines individual digital currency classes separately or in limited combinations, our study integrates six distinct classes of digital currencies, namely Islamic gold-backed cryptocurrencies, green cryptocurrencies, gold-backed stablecoins, non-fungible tokens (NFTs), decentralized finance (DeFi) assets, and conventional cryptocurrencies, enabling direct comparisons of risk-return dynamics and systemic interdependencies. Using Value at Risk (VaR), Conditional Value at Risk (CVaR), quantile-based Vector Autoregression (Quantile VAR), and network connectedness analysis, we provide nuanced insights into the behavior of these assets across various market conditions (bullish, bearish, and normal states). Our results demonstrate that conventional cryptocurrencies and DeFi assets consistently deliver positive risk-adjusted returns, whereas Islamic gold-backed cryptocurrencies exhibit notably higher downside risks and negative performance. Spillover analysis reveals pronounced connectedness, particularly in extreme market states, with conventional cryptocurrencies identified as primary transmitters of market shocks and gold-backed stablecoins and Islamic gold-backed cryptocurrencies as recipients. Our findings underscore significant diversification opportunities offered by pairs of assets exhibiting low connectedness, especially in normal market conditions. Furthermore, portfolio optimization analysis highlights the superior hedging effectiveness and lower hedging costs associated with gold-backed stablecoins and conventional cryptocurrency pairs. This comprehensive investigation delivers critical implications for investors, suggesting informed strategies for asset allocation and risk management. Policymakers can also utilize our insights to design adaptive regulatory frameworks that address systemic risks arising from digital currency markets. Acknowledgment Gazi Salah Uddin gratefully acknowledges the Faculty of Economics and Business, Universitas Indonesia, for the academic appointment as Adjunct and Visiting Professor, and expresses sincere appreciation for the institutional support and research facilities extended during his residency, which significantly contributed to the completion of this work.