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Governance, productivity and economic development

Governance, productivity and economic development ArXiv ID: 2507.13099 “View on arXiv” Authors: Cuong Le Van, Ngoc-Sang Pham, Thi Kim Cuong Pham, Binh Tran-Nam Abstract This paper explores the interplay between transfer policies, R&D, corruption, and economic development using a general equilibrium model with heterogeneous agents and a government. The government collects taxes, redistributes fiscal revenues, and undertakes public investment (in R&D, infrastructure, etc.). Corruption is modeled as a fraction of tax revenues that is siphoned off and removed from the economy. We first establish the existence of a political-economic equilibrium. Then, using an analytically tractable framework with two private agents, we examine the effects of corruption and evaluate the impact of various policies, including redistribution and innovation-led strategies. ...

July 17, 2025 · 2 min · Research Team

Equilibrium with non-convex preferences: some insights

Equilibrium with non-convex preferences: some insights ArXiv ID: 2503.16890 “View on arXiv” Authors: Unknown Abstract We study the existence of equilibrium when agents’ preferences may not beconvex. For some specific utility functions, we provide a necessary and sufficientcondition under which there exists an equilibrium. The standard approach cannot be directly applied to our examples because the demand correspondence of some agents is neither single-valued nor convex-valued. Keywords: General Equilibrium, Non-Convex Preferences, Demand Correspondence, Market Equilibrium, Utility Functions, General Equilibrium Theory ...

March 21, 2025 · 1 min · Research Team

A Practical Guide to Quantitative Portfolio Trading

A Practical Guide to Quantitative Portfolio Trading ArXiv ID: ssrn-2543802 “View on arXiv” Authors: Unknown Abstract We discuss risk, preference and valuation in classical economics, which led academics to develop a theory of market prices, resulting in the general equilibrium Keywords: general equilibrium, market prices, valuation, Multi-Asset Complexity vs Empirical Score Math Complexity: 7.5/10 Empirical Rigor: 3.0/10 Quadrant: Lab Rats Why: The text contains dense mathematical theory including pricing kernels, measure changes, and factor models, but provides no backtesting data, code, or implementation details for the strategies discussed. flowchart TD A["Research Goal: Develop<br>Multi-Asset Portfolio Trading Strategy"] --> B["Methodology: General Equilibrium Theory"] B --> C["Data: Risk Preferences &<br>Market Price Inputs"] C --> D["Computational Process:<br>Valuation & Optimization"] D --> E["Outcome: Executable<br>Quantitative Portfolio"]

December 31, 2014 · 1 min · Research Team