📈 economics

Public borrowing in Nigeria consistently fails to translate into measurable development outcomes

This study argues that Nigeria's persistent failure to convert its massive public debt into measurable development outcomes stems not from borrowing itself, but from deep-seated governance failures that divert funds toward consumption and debt servicing rather than productive investment, necessitating comprehensive accountability reforms to ensure borrowed capital yields tangible public benefits.

Chris AC-Ogbonna2026-08-28
📈 economics

Financial intermediation for climate abatement: Bank monitoring and the design of multilateral public-private partnerships

This paper demonstrates that while bilateral contracts fail to simultaneously induce effort, attract investors, and implement green projects, a five-partner architecture featuring a monitoring bank with fees contingent on verified abatement can resolve this impossibility, a critical design element currently missing from existing multilateral climate finance vehicles.

DAVID Rivero Leiva2026-08-28
📈 economics

The Impact of Post-2008 New-Generation Fiscal Rules on the Current Account Balance: A Generalized Synthetic Control Approach

Using a Generalized Synthetic Control Method on a panel of 111 countries from 2000 to 2019, this study demonstrates that post-2008 adoption of new-generation Balanced Budget and Debt fiscal rules significantly improves both the primary budget and current account balances, thereby confirming the Twin Deficits hypothesis and rejecting Ricardian equivalence.

Mohamadamin Shojaei2026-08-28
📈 economics

Crossing into AI: When Incumbents Build, Partner, Acquire, Absorb, or Wait A History-Friendly Agent-Based Model of the Generative-AI Market Transition

This paper employs a history-friendly agent-based model to demonstrate that incumbent firms' strategic choices in the generative AI market—ranging from building and acquiring to the novel "absorption" route—are primarily determined by the contractibility of tacit capabilities and the intensity of regulatory scrutiny, with no single strategy dominating across all conditions.

Yingzheng Liu, Shun Cao, Zhen Liu2026-08-28
📈 economics

Multi-objective Portfolio Optimization Based on the Fama–French Three-Factor Model and the Black–Litterman Framework

This study proposes a robust multi-objective portfolio optimization model that integrates the Fama–French three-factor model with the Black–Litterman framework to generate posterior expected returns while simultaneously minimizing downside risk and maximizing diversification under practical constraints, demonstrating superior performance over benchmark strategies in both in-sample and out-of-sample tests.

Shili Dang, Yang Liu2026-08-28
📈 economics

Network-Adaptive Climate-Finance Stress Testing: Monte Carlo Evidence on Transition-Linked Credit, Capital Buffers, and Systemic Resilience

This study employs a network-adaptive Monte Carlo framework to demonstrate that an integrated climate governance strategy, which jointly adjusts credit allocation and capital buffers based on both carbon intensity and network centrality, significantly outperforms static or carbon-only approaches in mitigating systemic financial losses and bank failures under severe climate transition scenarios.

Connor Nitchals2026-08-28
📈 economics

The Asymmetric Effects of Public Support Types: An Empirical Study on the Conditions and Performance of Korean Startups

This empirical study analyzes the asymmetric effects of South Korean public support programs on startup performance by comparing companies backed by the Ministry of SMEs and Startups and the Ministry of Science and ICT against non-supported firms, demonstrating that government funding acts as a catalyst for overcoming resource constraints while highlighting the need for sector-specific policy roadmaps based on the timing of performance generation across different core technology fields.

Gyoseong Shin, Seok-ho Jung2026-08-28
📈 economics

A Quantitative Assessment Of Investment Environments And Risk Mitigation Strategies For Clean Energy Investments in Emerging Markets and Developing Economies

This study employs a quantitative approach to analyze how macroeconomic, political, and governance risks in emerging markets and developing economies hinder clean energy investment, demonstrating that customized, multi-instrument risk mitigation strategies which leverage non-linear interactions among risk factors can significantly improve financing outcomes.

Sumit Kothari, Nadia Ameli2026-08-28