马尔可夫过程下连续监控的障碍期权

Volterra-Heston模型下离散监测亚式期权的定价与对冲

Pricing and Hedging of Discretely Monitored Asian Options in the Volterra-Heston Model

本文在Volterra-Heston模型下提出离散监测亚式期权的半闭式定价公式与提升模型对冲方法，利用仿射变换和控制变量提高定价效率，并通过数值实验验证因子收敛与对冲效果。

On "A General Framework for Pricing Asian Options Under Markov Processes"

Cai, Song and Kou (2015) [Cai, N., Y. Song, S. Kou (2015) A general framework for pricing Asian options under Markov processes. Oper. Res. 63(3): 540-554] made a breakthrough by proposing a general framework for pricing both discretely and continuously monitored Asian options under one-dimensional Markov processes. In this note, under the setting of continuous-time Markov chain (CTMC), we explicitly carry out the inverse Z-transform and the inverse Laplace transform respectively for the discretely and the continuously monitored cases. The resulting explicit single Laplace transforms improve th…

障碍期权定价的高阶精确隐式方法

High-order accurate implicit methods for the pricing of barrier options

本文提出一种高阶精确隐式有限差分方法，通过概率最优边界条件处理连续和离散监测的各类障碍期权，显著提高定价速度和精度。

An SFP--FCC Method for Pricing and Hedging Early-exercise Options under Lévy Processes

This paper extends the Singular Fourier--Padé (SFP) method proposed by Chan (2018) to pricing/hedging early-exercise options--Bermudan, American and discrete-monitored barrier options--under a Lévy process. The current SFP method is incorporated with the Filon--Clenshaw--Curtis (FCC) rules invented by Domínguez et al. (2011), and we call the new method SFP--FCC. The main purpose of using the SFP--FCC method is to require a small number of terms to yield fast error convergence and to formulate option pricing and option Greek curves rather than individual prices/Greek values. We also numerically…

Asian Option Pricing with Orthogonal Polynomials

In this paper we derive a series expansion for the price of a continuously sampled arithmetic Asian option in the Black-Scholes setting. The expansion is based on polynomials that are orthogonal with respect to the log-normal distribution. All terms in the series are fully explicit and no numerical integration nor any special functions are involved. We provide sufficient conditions to guarantee convergence of the series. The moment indeterminacy of the log-normal distribution introduces an asymptotic bias in the series, however we show numerically that the bias can safely be ignored in practic…

Pathwise super-replication via Vovk's outer measure

Since Hobson's seminal paper [D. Hobson: Robust hedging of the lookback option. In: Finance Stoch. (1998)] the connection between model-independent pricing and the Skorokhod embedding problem has been a driving force in robust finance. We establish a general pricing-hedging duality for financial derivatives which are susceptible to the Skorokhod approach. Using Vovk's approach to mathematical finance we derive a model-independent super-replication theorem in continuous time, given information on finitely many marginals. Our result covers a broad range of exotic derivatives, including lookback …