📈 economics

IMF Conditionality and Economic Recovery in Ghana: Evaluating the Effectiveness and Domestic Legitimacy of the 2023 to 2026 Extended Credit Facility

This paper evaluates Ghana's 2023–2026 IMF Extended Credit Facility, finding that while the arrangement achieved substantial output legitimacy through economic stabilization and debt restructuring, it recommends enhancing domestic legitimacy via stronger parliamentary scrutiny, transparent distributional assessments, and binding social-protection commitments.

Clement Arhin Adjei, Eyram Annabel Ayiti2026-10-20
📈 economics

Beyond Ownership: Sufficiency and inequality shape product-sharing’s sustainability potential

This study reveals that product-sharing systems in Japan only yield environmental benefits when higher-income groups adopt sufficiency-driven consumption habits, as infrastructure alone cannot overcome the rising relative costs of access-based models and a trilemma exists between environmental gains, energy access, and welfare equity.

Darius Corbier, Julie Metta, Johannes Emmerling, Maureen Agnew, Hazel Pettifor2026-10-20
📈 economics

Valuing a Marketing Board’s Price Guarantee and Forward Sales under Geometric Mean Reversion, Currency Risk and Non-Traded Harvest Risk: Evidence from Ghana’s Cocoa Sector

This paper presents a closed-form valuation framework for Ghana's Cocoa Board's price guarantees and forward sales commitments under geometric mean-reverting prices, currency risk, and non-traded harvest risk, revealing that constant-volatility models overstate guarantee values and quantifying the substantial financial reserves required to cover potential over-commitments and statutory price floors.

Derrick Delali Atiase2026-10-20
📈 economics

Quantum Monte Carlo Methods for Large-Scale Macroeconomic Models: A Unified Computational Framework for High-Dimensional State Spaces and Stress Testing

This paper introduces QMC-Macro, a unified computational framework that integrates deep-learning surrogates with quantum amplitude estimation to overcome the curse of dimensionality and achieve quadratic convergence speedups in solving high-dimensional macroeconomic models for policy evaluation and stress testing.

Sid Ahmed ZENAGUI2026-10-20
📈 economics

Does the EU Carbon Border Adjustment Mechanism reduce India’s engineering exports? Evidence from monthly product-level data

Using monthly product-level data and a difference-in-differences design, this paper finds that the EU Carbon Border Adjustment Mechanism significantly reduced India's engineering exports to Europe by 11.5% during the reporting phase and 18.2% after payments began, with the decline driven largely by compliance demands and data requirements rather than just carbon costs, particularly affecting MSMEs in sectors like fasteners.

Praveenkumar karuppiah2026-10-20
📈 economics

Artificial Intelligence in Green Human Resource Management: Examining the Mediating Role of Employee Engagement in Attaining Organizational Sustainability

This bibliometric and critical review reveals that the nascent field of AI-enabled Green HRM largely overlooks employee engagement as a mediating mechanism for organizational sustainability, prompting the authors to propose a dual-pathway framework and research agenda to guide future studies on how AI can either build or erode engagement to achieve green outcomes.

Muhammad Ramzan Ali, Tumsela Asghar, Zulaykho Kadirova, Vokhidova Mehri Khasanovna, Muhammad Faheem Akram2026-10-20
📈 economics

Filtered Extreme-Value Theory Meets Asymmetric GARCH: Out-of-Sample Volatility Forecasting and 99% Value-at-Risk Backtesting for U.S. Equity Indices, 2004–2018

This study demonstrates that combining asymmetric GARCH volatility filters with filtered extreme-value theory (GARCH–EVT) significantly outperforms traditional models like RiskMetrics and historical simulation in forecasting 99% Value-at-Risk and Expected Shortfall for U.S. equity indices during the 2004–2018 period, particularly by showing that accurate tail modeling is more critical than the volatility filter itself for capturing extreme market risks.

Arin Gopalan Yadav2026-10-20