Econometric Identification of Foreign Exchange Options Volatility Surfaces Recovering Foreign Exchange Option Prices from Spot Price Dynamics

J. Cook, Dennis Philip, Handing Sun, Julian M. Williams
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Abstract

Over-the-counter foreign exchange options are the fourth largest derivatives market (by asset class) in the world, but this market is little studied in the finance literature. We propose a new set of modelling tools for pricing options on this market and demonstrate their applicability to five liquid currencies versus the dollar. Our discrete time affine nested GARCH based model specification is the first of its type to be estimated directly from spot foreign exchange and short rate (timed deposit) quotes. Out-of-sample testing suggests that an affine term structure with stochastic volatility model estimated at a monthly frequency outperforms most specifications with no recourse to option market quotes to assist calibration. Indeed, this model outperforms a realized variance model by almost an order of magnitude, across all quote types, when compared to observed option market data.
外汇期权波动率表面的计量经济识别从现货价格动态恢复外汇期权价格
场外交易的外汇期权是世界上第四大衍生品市场(按资产类别计算),但这个市场在金融文献中很少被研究。我们提出了一套新的期权定价模型工具,并证明了它们对五种流动货币相对于美元的适用性。我们基于离散时间仿射嵌套GARCH的模型规范是第一个直接从即期外汇和短期汇率(定期存款)报价中估计的类型。样本外检验表明,每月频率估计随机波动率模型的仿射期限结构优于大多数规格,无需求助于期权市场报价来协助校准。事实上,与观察到的期权市场数据相比,该模型在所有报价类型中都比实现方差模型高出近一个数量级。
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