An effective hybrid variance reduction method for pricing the Asian options and its variants

Autor: Yi-Hsi Lee, Chiung-Ju Liang, King-Jeng Lu, Ming-Hua Hsieh
Rok vydání: 2020
Předmět:
Zdroj: The North American Journal of Economics and Finance. 51:100961
ISSN: 1062-9408
DOI: 10.1016/j.najef.2019.04.004
Popis: In this paper, we propose a variance reduction method that combines importance sampling and control variates to price European Arithmetic Asian options and its variants (i.e., Asian options plus knock-in or knock-out options) under the Black-Scholes model. The numerical results show that the proposed methods are especially efficient under the following scenarios: in the money, low volatility, more sampling dates, and higher barrier thresholds.
Databáze: OpenAIRE