paper-with-me

Papers

Cliquet option pricing with Meixner processes

2018-03-26

We investigate the pricing of cliquet options in a geometric Meixner model. The considered option is of monthly sum cap style while the underlying stock price model is driven by a pure-jump Meixner--L\'{e}vy process yielding Meixner distributed log-returns. In this setting, we infer semi-analytic expressions for the cliquet option price by using the probability distribution function of the driving Meixner--L\'{e}vy process and by an application of Fourier transform techniques. In an introductory section, we compile various facts on the Meixner distribution and the related class of Meixner--L\'{e}vy processes. We also propose a customized measure change preserving the Meixner distribution of any Meixner process.

📄 PDF Abstract BibTeX arXiv:1803.09444

Code (0)

등록된 구현이 없습니다.

Similar Papers 제목 키워드 기반

Cliquet option pricing in a jump-diffusion L\'{e}vy model

2018-10-23

We investigate the pricing of cliquet options in a jump-diffusion model. The considered option is of monthly sum cap style while the underlying stock price model is driven by a drifted L\'{e}vy process entailing a Browni…

Calibration and Option Pricing with Stochastic Volatility and Double Exponential Jumps

2025-02-19 · Gaetano Agazzotti, Claudio Aglieri Rinella, Jean-Philippe Aguilar, Justin Lars Kirkby

This work examines a stochastic volatility model with double-exponential jumps in the context of option pricing. The model has been considered in previous research articles, but no thorough analysis has been conducted to…

ArticlesEconometrics

Pricing methods for $α$-quantile and perpetual early exercise options based on Spitzer identities

2021-06-10 · Carolyn E. Phelan, Daniele Marazzina, Guido Germano

We present new numerical schemes for pricing perpetual Bermudan and American options as well as $\alpha$-quantile options. This includes a new direct calculation of the optimal exercise barrier for early-exercise options…

Supervised Deep Neural Networks (DNNs) for Pricing/Calibration of Vanilla/Exotic Options Under Various Different Processes

2019-02-15 · Ali Hirsa, Tugce Karatas, Amir Oskoui

We apply supervised deep neural networks (DNNs) for pricing and calibration of both vanilla and exotic options under both diffusion and pure jump processes with and without stochastic volatility. We train our neural netw…

parameter estimation

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

2016-01-20

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 …