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Navigating the Post-ETF Paradigm: An Integrative Multi-Factor Model for Projecting Bitcoin's 2025 Market Cycle Apex Abdul Malik; Ahmad Badruddin; Mary-Jane Wood; Sonia Vernanda; Gladys Putri; Ifah Shandy; Darlene Sitorus; Delia Tamim
Enigma in Economics Vol. 3 No. 1 (2025): Enigma in Economics
Publisher : Enigma Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61996/economy.v3i1.91

Abstract

Bitcoin’s market structure underwent a fundamental and irreversible transformation following the 2024 regulatory approval and launch of spot Exchange-Traded Funds (ETFs) in the United States. This event catalyzed an unprecedented wave of institutional adoption, signaling the asset's maturation from a fringe, retail-driven speculative vehicle into an emergent institutional-grade macro-asset. This study moves beyond traditional cyclical models, which are predicated on historical, pre-institutional market dynamics, to analyze Bitcoin's valuation within this profoundly evolved landscape. The primary objective is to project the potential price apex for Bitcoin in the 2024-2025 market cycle by developing and applying a transparent, replicable, and comprehensive multi-factor analytical framework. A multi-factorial, longitudinal analysis was conducted using a combination of publicly available data and simulated datasets from Q1 2022 to Q2 2025. The model is built upon a structured, semi-quantitative framework designed to synthesize three core analytical pillars: (1) Macroeconomic Environment, quantitatively assessing the impact of Federal Reserve interest rate policy, US Dollar Index (DXY) dynamics, and inflation trends through correlation analysis and sensitivity modeling. (2) On-Chain Intelligence, utilizing a suite of metrics from primary sources like Glassnode, including MVRV Z-Score, LTH-SOPR, and Illiquid Supply growth, while critically evaluating the continued validity of their historical thresholds. (3) Market & Flow Dynamics, which integrates technical analysis with a rigorous, quantitative assessment of spot ETF demand versus daily new supply, moving beyond subjective interpretations of price charts. A transparent weighting rubric was developed to integrate the findings from each pillar, mitigating subjective bias and ensuring the analytical synthesis is replicable. The synthesis of the model's components revealed a powerful confluence of bullish factors projected to intensify through late 2024 and into 2025. The Macroeconomic pillar scored moderately positive, forecasting a probable shift to monetary easing. The On-Chain pillar registered a strongly positive score, driven by a profound and persistent supply shock, evidenced by record illiquid supply growth and sustained exchange outflows, indicating strong holder conviction. The Market & Flow Dynamics pillar also scored strongly positive, with institutional demand via ETFs consistently outstripping newly mined supply by a significant multiple. The model's base-case scenario, derived from the weighted synthesis of these pillars, projects a Bitcoin price apex in the range of $150,000 to $200,000, with the most probable timing for this peak occurring between Q4 2024 and Q2 2025. In conclusion, the findings indicate that the 2024-2025 Bitcoin market cycle is fundamentally distinct from its predecessors, primarily driven by a structural, institutional-led demand shock that interacts with, and is amplified by, traditional macroeconomic tailwinds and established cyclical patterns. The projected price apex reflects a market structure that has matured, with future cycles likely to be more influenced by global liquidity conditions than the halving event alone. This research provides a robust, transparent, and theoretically grounded framework for valuing Bitcoin in its new role within the global financial system and offers a template for future analysis of digital assets as they integrate with traditional finance.
The Future of the Firm: A Comparative Institutional Analysis of Transaction Costs in DAOs versus Traditional Corporations Benyamin Wongso; Caelin Damayanti; Muhammad Faiz; Anies Fatmawati; Aylin Yermekova; Delia Tamim; Dais Susilo; Danila Adi Sanjaya; Gayatri Putri
Enigma in Economics Vol. 3 No. 2 (2025): Enigma in Economics
Publisher : Enigma Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61996/economy.v3i2.94

Abstract

The emergence of Decentralized Autonomous Organizations (DAOs) presents a fundamental challenge to the traditional corporate form, which has dominated economic organization for over a century. Built on blockchain technology, DAOs propose a new model for coordinating economic activity. This study addressed the critical question of institutional efficiency by applying the lens of Transaction Cost Economics (TCE) to compare DAOs and traditional corporations. A comparative institutional analysis was conducted using a mixed-methods approach. We employed a multiple case study design, analyzing two representative DAOs and two analogous traditional corporations from Q1 2023 to Q4 2024. Data collection involved the systematic analysis of archival records, including 215 DAO governance proposals and corporate filings, and 32 semi-structured interviews with key participants. A novel analytical framework was developed to categorize transaction costs into ex ante (search, bargaining) and ex post (monitoring, enforcement), further distinguishing between 'on-chain' and 'off-chain' costs. The study revealed significant trade-offs between the two organizational forms. Traditional corporations exhibited high ex ante bargaining costs (legal, negotiation) and ex post monitoring costs (managerial overhead), but benefited from established legal frameworks that reduced enforcement uncertainty. Conversely, DAOs significantly lowered specific transaction costs through automation via smart contracts, particularly in on-chain bargaining and enforcement for codified tasks. However, DAOs incurred substantial, often hidden, new transaction costs related to off-chain social coordination, governance participation, and navigating legal ambiguity. This was termed the 'Governance Overhead Paradox'. In conclusion, DAOs do not represent a universally superior organizational form but rather a new point on an institutional possibility frontier. They are highly efficient for tasks that are global, permissionless, and computationally verifiable. Traditional firms retain advantages in contexts requiring complex, subjective decision-making and legal certainty. The future of the firm is likely not a replacement of one form by the other, but a pluralistic ecosystem where hybrid models emerge.
Forging Digital Pathways to Prosperity: A Mixed-Methods Inquiry into Digital Literacy, Community Entrepreneurship, and Sustainable Development Goal Attainment in Rural Indonesia Grace Olivia Silalahi; Delia Tamim; Sandro Louise Oliveirra; Abdul Malik; Muhammad Faiz
Indonesian Community Empowerment Journal Vol. 5 No. 2 (2025): Indonesian Community Empowerment Journal
Publisher : HM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37275/icejournal.v5i2.47

Abstract

The proliferation of digital technology presents a monumental opportunity for economic development, yet its benefits remain unevenly distributed, particularly in the rural regions of developing nations like Indonesia. This study investigates the critical role of digital literacy as a catalyst for community entrepreneurship, and its subsequent impact on achieving Sustainable Development Goal 1 (No Poverty) and Goal 8 (Decent Work and Economic Growth). A sequential explanatory mixed-methods design was employed across three diverse rural regencies in Indonesia. The initial quantitative phase involved a multi-stage cluster survey of 525 rural entrepreneurs, with data analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) to test hypothesized relationships. The subsequent qualitative phase comprised 30 in-depth, semi-structured interviews with entrepreneurs and community leaders, selected purposively from the quantitative sample. Interview data were analyzed using rigorous thematic analysis to explain and enrich the statistical findings. The PLS-SEM analysis revealed that digital literacy has a significant, positive direct effect on both entrepreneurial intention (b=0.451, p<0.001) and entrepreneurial performance (b=0.382, p<0.001). Entrepreneurial performance, in turn, was a strong predictor of progress toward SDG 1 (b=0.523, p<0.001) and SDG 8 (b=0.610, p<0.001). Qualitative findings identified three core mechanisms facilitating these relationships: (1) the use of digital platforms as a gateway to expanded markets, (2) the vital role of informal, peer-to-peer social networks in digital skill acquisition, and (3) the translation of individual entrepreneurial success into community-wide economic benefits through local job creation and value chain development. In conclusion, digital literacy is a foundational capability that directly empowers rural entrepreneurs, driving local economic performance and accelerating progress toward key SDGs. These findings underscore the necessity of moving beyond infrastructure-centric policies to holistic strategies that cultivate digital skills through community-based learning and support the integration of digital tools into local enterprises.