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相关论文: Spectral Decomposition of Option Prices in Fast Me…

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In this paper, we combine modern portfolio theory and option pricing theory so that a trader who takes a position in a European option contract and the underlying assets can construct an optimal portfolio such that at the moment of the…

数理金融 · 定量金融 2020-01-06 Abootaleb Shirvani , Frank J. Fabozzi , Stoyan V. Stoyanov

This paper concerns the design of a Fourier based pseudospectral numerical method for the model of European Option Pricing with transaction costs under Exponential Utility derived by Davis, Panas and Zariphopoulou. Computing the option…

数值分析 · 数学 2021-04-19 Javier de Frutos , Victor Gaton

We propose a quasi maximum likelihood estimation method for Bergomi-type stochastic volatility models with parametrized kernels, focusing on the estimation of the kernel parameters from high-frequency time-series observations of option…

统计理论 · 数学 2026-05-26 Masaaki Fukasawa , Haruki Tomita

Recent empirical studies suggest that the volatilities associated with financial time series exhibit short-range correlations. This entails that the volatility process is very rough and its autocorrelation exhibits sharp decay at the…

证券定价 · 定量金融 2018-04-17 Josselin Garnier , Knut Solna

We consider a method of lines (MOL) approach to determine prices of European and American exchange options when underlying asset prices are modelled with stochastic volatility and jump-diffusion dynamics. As the MOL, as with any other…

计算金融 · 定量金融 2021-06-15 Len Patrick Dominic M. Garces , Gerald H. L. Cheang

We present a detailed analysis and implementation of a splitting strategy to identify simultaneously the local-volatility surface and the jump-size distribution from quoted European prices. The underlying model consists of a jump-diffusion…

计算金融 · 定量金融 2018-11-07 Vinicius Albani , Jorge Zubelli

In the paper written by Klibanov et al, it proposes a novel method to calculate implied volatility of a European stock options as a solution to ill-posed inverse problem for the Black-Scholes equation. In addition, it proposes a trading…

数值分析 · 数学 2025-01-29 Wanchaloem Wunkaew , Yuqing Liu , Kirill V. Golubnichiy

In the classical model of stock prices which is assumed to be Geometric Brownian motion, the drift and the volatility of the prices are held constant. However, in reality, the volatility does vary. In quantitative finance, the Heston model…

证券定价 · 定量金融 2019-10-21 Arunangshu Biswas , Anindya Goswami , Ludger Overbeck

The aim of this work is to introduce a new stochastic volatility model for equity derivatives. To overcome some of the well-known problems of the Heston model, and more generally of the affine models, we define a new specification for the…

证券定价 · 定量金融 2014-09-19 José Da Fonseca , Claude Martini

In the present paper, a decomposition formula for the call price due to Al\`{o}s is transformed into a Taylor type formula containing an infinite series with stochastic terms. The new decomposition may be considered as an alternative to the…

计算金融 · 定量金融 2019-05-16 Archil Gulisashvili , Raúl Merino , Marc Lagunas , Josep Vives

We describe the pricing and hedging of financial options without the use of probability using rough paths. By encoding the volatility of assets in an enhancement of the price trajectory, we give a pathwise presentation of the replication of…

数理金融 · 定量金融 2020-07-09 John Armstrong , Claudio Bellani , Damiano Brigo , Thomas Cass

In this article, we study the rate of convergence of prices when a model is approximated by some simplified model. We also provide a method how explicit error formula for more general options can be obtained if such formula is available for…

概率论 · 数学 2013-01-08 Lauri Viitasaari

This paper derives a new semi closed-form approximation formula for pricing an up-and-out barrier option under a certain type of stochastic volatility model including SABR model by applying a rigorous asymptotic expansion method developed…

计算金融 · 定量金融 2014-06-16 Takashi Kato , Akihiko Takahashi , Toshihiro Yamada

Given a finite set of European call option prices on a single underlying, we want to know when there is a market model which is consistent with these prices. In contrast to previous studies, we allow models where the underlying trades at a…

数理金融 · 定量金融 2019-07-17 Stefan Gerhold , I. Cetin Gülüm

There are several approaches to modeling and forecasting time series as applied to prices of commodities and financial assets. One of the approaches is to model the price as a non-stationary time series process with heteroscedastic…

统计金融 · 定量金融 2024-07-01 Andrei Renatovich Batyrov

In this paper we discuss backward stochastic differential equations with Markov chain noise, having continuous drivers. We obtain the existence of a solution which is possibly not unique. Moreover, we show there is a minimal solution for…

概率论 · 数学 2014-12-01 Dimbinirina Ramarimbahoaka , Zhe Yang , Robert J. Elliott

In this paper, we study the asymptotic behavior of Asian option prices in the worst case scenario under an uncertain volatility model. We give a procedure to approximate the Asian option prices with a small volatility interval. By imposing…

证券定价 · 定量金融 2018-08-03 Yuecai Han , Chunyang Liu

We derive a new high-order compact finite difference scheme for option pricing in stochastic volatility jump models, e.g. in Bates model. In such models the option price is determined as the solution of a partial integro-differential…

计算金融 · 定量金融 2019-02-25 Bertram Düring , Alexander Pitkin

We present an approach for pricing European call options in presence of proportional transaction costs, when the stock price follows a general exponential L\'{e}vy process. The model is a generalization of the celebrated work of Davis,…

数理金融 · 定量金融 2021-06-18 Nicola Cantarutti , João Guerra , Manuel Guerra , Maria do Rosário Grossinho

We price European options in a class of models in which the volatility of the underlying risky asset depends on the short rate of interest. Our study results in an explicit pricing formula that depends on knowledge of a characteristic…

数理金融 · 定量金融 2026-02-03 Tim Leung , Matthew Lorig