A Taylor Series Approach to Pricing and Implied Volatility for Local–Stochastic Volatility Models

IF 0.3 4区 经济学 Q4 BUSINESS, FINANCE
Matthew J. Lorig, S. Pagliarani, A. Pascucci
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引用次数: 9

Abstract

Using classical Taylor series techniques, we develop a unified approach to pricing and implied volatility for European-style options in a general local–stochastic volatility setting. Our price approximations require only a normal cumulative distribution function and our implied volatility approximations are fully explicit (ie, they require no special functions, no infinite series and no numerical integration). As such, approximate prices can be computed as efficiently as Black– Scholes prices, and approximate implied volatilities can be computed nearly instantaneously.
局部随机波动率模型定价和隐含波动率的泰勒级数方法
利用经典的泰勒级数技术,我们开发了一种在一般局部随机波动率设置下欧式期权定价和隐含波动率的统一方法。我们的价格近似只需要一个正态累积分布函数,我们的隐含波动率近似是完全显式的(即,它们不需要特殊函数,不需要无穷级数,也不需要数值积分)。因此,近似价格可以像Black - Scholes价格一样有效地计算,近似隐含波动率几乎可以在瞬间计算出来。
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来源期刊
Journal of Risk
Journal of Risk BUSINESS, FINANCE-
CiteScore
1.00
自引率
14.30%
发文量
10
期刊介绍: This international peer-reviewed journal publishes a broad range of original research papers which aim to further develop understanding of financial risk management. As the only publication devoted exclusively to theoretical and empirical studies in financial risk management, The Journal of Risk promotes far-reaching research on the latest innovations in this field, with particular focus on the measurement, management and analysis of financial risk. The Journal of Risk is particularly interested in papers on the following topics: Risk management regulations and their implications, Risk capital allocation and risk budgeting, Efficient evaluation of risk measures under increasingly complex and realistic model assumptions, Impact of risk measurement on portfolio allocation, Theoretical development of alternative risk measures, Hedging (linear and non-linear) under alternative risk measures, Financial market model risk, Estimation of volatility and unanticipated jumps, Capital allocation.
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