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Abstract
The price of basket options can be represented as an exact analytical part and an approximate part by using a conditional variable. The first part is calculated by conditioning on the price process of the underlying asset, and the second part is calculated by a moment-matching approach. In order to calculate the second part, the authors find a new single random variable, which has an analytically known distribution, to approximate the sum of log-normal random variables and to obtain a closed-form pricing formula. Their method can be viewed as a combination of conditioning and moment-matching methods. Numerical studies have demonstrated that their formula is more accurate in handling both homogeneous and heterogeneous lognormal random variable cases.
TOPICS: Derivatives, options
Key Findings
• The price of basket options can be represented as an exact analytical part and an approximate part by using a conditional variable. In order to calculate the approximate part, we find a new single random variable, which has an analytically known distribution, to approximate the sum of log-normal random variables and to obtain a closed-form pricing formula.
• Numerical studies demonstrate that our formula is more accurate in handling both homogeneous and heterogeneous log-normal random variable cases.
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US and Overseas: +1 646-931-9045
UK: 0207 139 1600