电力市场中价格-量风险的多因子摆动量价期权的估值与对冲效率

Valuation and hedging efficiency of multifactor swing quanto options for price-volume risk in electricity markets

Quantitative Finance · 2026
被引 0 · 同刊同年前 7%
人大 BABS 3

中文导读

研究了一种新型多因子摆动量价期权,用于对冲电力市场中价格与成交量乘积带来的现金流波动风险,基于日本电力市场数据验证其比欧式量价期权更具成本效益的对冲效果。

Abstract

A quanto option is a type of multivariate option whose payoff is determined by the product of a standard option and a stochastic multiplier such as trading volume. In this study, we extend this concept to swing options, which allow multiple exercises within a specified period, and introduce the ‘multifactor swing quanto option' to mitigate cash flow fluctuation risks driven by the product of price and volume in electricity markets. First, we model the underlying asset prices and volume indices using deterministic time trends and vector autoregressive (VAR) processes. The least-squares Monte Carlo (LSMC) method is then applied to compute option prices based on generated sample paths and estimated continuation value functions, with tensor product spline basis functions enhancing flexibility in multidimensional modeling. To assess the hedging performance of the proposed swing quanto option, we conduct numerical experiments using Japanese electricity market data, including Japan Electric Power Exchange (JEPX) spot prices and area demand. Conventional comparisons indicate that swing quanto options achieve better hedging performance than European quanto options; however, this advantage may simply reflect their higher initial cost. To examine cost-effectiveness, we adjust the holding quantity of swing quanto options to match the initial cost of European quanto options and compare their hedging performance under an equal investment constraint. Even after this adjustment, swing quanto options still provide superior loss-risk mitigation, demonstrating greater cost-effectiveness. This also suggests that the flexibility in selecting exercise timing, while inherently valuable, enables effective hedging even when its associated cost is reduced.

金融工程风险管理电力市场期权定价