Canonical least-squares Monte Carlo valuation of American options: convergence and empirical pricing analysis
From MaRDI portal
Publication:1719097
DOI10.1155/2014/763751zbMath1407.91280OpenAlexW1993728783WikidataQ59072036 ScholiaQ59072036MaRDI QIDQ1719097
Publication date: 8 February 2019
Published in: Mathematical Problems in Engineering (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1155/2014/763751
Numerical methods (including Monte Carlo methods) (91G60) Monte Carlo methods (65C05) Derivative securities (option pricing, hedging, etc.) (91G20)
Cites Work
- An analysis of a least squares regression method for American option pricing
- Nonparametric estimation of American options' exercise boundaries and call prices
- American options with stochastic dividends and volatility: a nonparametric investigation
- Pricing American options using a nonparametric entropy approach
- Numerical Methods in Finance and Economics
- The Entropic Penalty Approach to Stochastic Programming
- Valuing American Options by Simulation: A Simple Least-Squares Approach
- Option pricing: A simplified approach
- Unnamed Item
This page was built for publication: Canonical least-squares Monte Carlo valuation of American options: convergence and empirical pricing analysis