Local Weak Limits for Equilibrium and Risk in Economic Networks

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Highly relevant for systemic risk modeling and understanding contagion in financial networks, which is crucial for portfolio risk management and regulatory compliance. Less directly applicable to high-frequency trading strategies but vital for macro-prudential analysis and long-term risk assessment.

The theoretical framework involves advanced probability theory (local weak convergence, Polish spaces, spectral radius of operators). Implementing the numerical approximation requires careful handling of graph exploration, normalization of weights, and simulation of branching processes, which is computationally intensive but scalable compared to full network solvers.

The paper provides detailed mathematical proofs, specific parameter settings for numerical experiments (e.g., Gamma distributions for shocks, Poisson degrees), and references to replication files. However, the code itself is not explicitly linked in the provided text, though the methodology is fully described.