Skip to main content
AI × Quant × TradingFoundations US$99 · Signals US$1,299 · AI Live US$5,980 · partner institution employees firstView →
arXiv q-fin· Katsunori Ano·· 5 hr agoAI Score30

Multiple Stopping Times and Exercise Boundaries for American Put Options

Multiple Stopping and Exercise Boundaries for American Put Options

AI summary

This quantitative finance paper focuses on finite-maturity American put options under a risk-neutral Black-Scholes model, with at most m exercise rights and a minimum interval δ > 0 between consecutive exercises. It proves that the number of remaining exercise rights corresponds to a unique exercise boundary, and that boundaries are ordered by the number of remaining rights. The paper also derives results including local Lipschitz continuity of exercise boundaries, smooth-fit properties, quasi-variational inequalities, and free-boundary formulations, and extends the recursive framework to independent random termination times.

Source:arXiv q-fin · arxiv.org

Next steps

Live AI Strategy Building Workshop: From Options Case Studies to Strategy ValidationBreak down signals, position sizing, and risk management, and build research records with AI assistance.WeChat Community and Contact InformationView official contact details; QR codes will be displayed on the About page once available.Prefer English? Get the research briefing by emailRegister your interest in English research updates on our website.