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Options on baskets (linear combinations) of assets are notoriously challenging to price using even the simplest log-normal continuous-time stochastic models for the individual assets. The paper [5] gives a closed form approximation formula…

Pricing of Securities · Quantitative Finance 2023-02-20 Dongdong Hu , Hasanjan Sayit , Frederi Viens

The purpose of this note is to describe, in terms of a power series, the distribution function of the exponential functional, taken at some independent exponential time, of a spectrally negative L\'evy process \xi with unbounded variation.…

Probability · Mathematics 2009-04-22 Pierre Patie

Exponential functionals of Brownian motion have been extensively studied in financial and insurance mathematics due to their broad applications, for example, in the pricing of Asian options. The Black-Scholes model is appealing because of…

Pricing of Securities · Quantitative Finance 2016-10-04 Runhuan Feng , Alexey Kuznetsov , Fenghao Yang

We consider a stochastic volatility model where the dynamics of the volatility are given by a possibly infinite linear combination of the elements of the time extended signature of a Brownian motion. First, we show that the model is…

Pricing of Securities · Quantitative Finance 2025-06-03 Eduardo Abi Jaber , Louis-Amand Gérard

In this paper we develop numerical pricing methodologies for European style Exchange Options written on a pair of correlated assets, in a market with finite liquidity. In contrast to the standard multi-asset Black-Scholes framework, trading…

Pricing of Securities · Quantitative Finance 2020-06-16 Kevin S. Zhang , Traian A. Pirvu

We develop a general method for derivative pricing. This approach has its roots in Shannon's Information Theory. The notion of $\lambda$-analyticity of L\'{e}vy models is introduced on the basis of which new representations of the pricing…

Applications · Statistics 2013-06-18 Alexander Kushpel , Jeremy Levesley

We investigate the limiting distribution of geometric Brownian motion conditional on its running maximum taking large values. We show that the conditional distribution of the geometric Brownian motion converges after a suitable…

Probability · Mathematics 2025-05-14 Ze-An Ng

L\'evy processes are widely used in financial mathematics to model return data. Price processes are then defined as a corresponding geometric L\'evy process, implying the fact that returns are independent. In this paper we propose an…

Statistics Theory · Mathematics 2013-02-22 L. Gerencsér , M. Mánfay

In this paper, we derive the price of a European call option of an asset following a normal process assuming stochastic volatility. The volatility is assumed to follow the Cox Ingersoll Ross (CIR) process. We then use the fast Fourier…

Pricing of Securities · Quantitative Finance 2019-10-07 Matta Uma Maheswara Reddy

We derive several sets of sufficient conditions for applicability of the new efficient numerical realization of the inverse $Z$-transform. For large $n$, the complexity of the new scheme is dozens of times smaller than the complexity of the…

Probability · Mathematics 2023-05-19 Svetlana Boyarchenko , Sergei Levendorskiĭ

This paper studies the pricing of European-style Asian options when the price dynamics of the underlying risky asset are assumed to follow a Markov- modulated geometric Brownian motion; that is, the appreciation rate and the volatility of…

Pricing of Securities · Quantitative Finance 2014-07-22 Leunglung Chan , Song-Ping Zhu

We study valuation of swing options on commodity markets when the commodity prices are driven by multiple factors. The factors are modeled as diffusion processes driven by a multidimensional L\'evy process. We set up a valuation model in…

Pricing of Securities · Quantitative Finance 2013-02-27 Marcus Eriksson , Jukka Lempa , Trygve Kastberg Nilssen

We show how spectral filters can improve the convergence of numerical schemes which use discrete Hilbert transforms based on a sinc function expansion, and thus ultimately on the fast Fourier transform. This is relevant, for example, for…

Computational Finance · Quantitative Finance 2020-01-17 Carolyn E. Phelan , Daniele Marazzina , Gianluca Fusai , Guido Germano

In this paper we give easy-to-implement closed-form expressions for European and Asian Greeks for general L2-payoff functions and underlying assets in an exponential L\'evy process model with nonvanishing Brownian motion part. The results…

Probability · Mathematics 2023-03-06 Anselm Hudde , Ludger Rüschendorf

This paper presents a derivation of the explicit price for the perpetual American put option time-capped by the first drawdown epoch beyond a predefined level. We consider the market in which an asset price is described by geometric L\'evy…

Probability · Mathematics 2025-09-01 Zbigniew Palmowski , Paweł Stȩpniak

In this paper we extend the theory of option pricing to take into account and explain the empirical evidence for asset prices such as non-Gaussian returns, long-range dependence, volatility clustering, non-Gaussian copula dependence, as…

Mathematical Finance · Quantitative Finance 2017-11-28 Stoyan V. Stoyanov , Yong Shin Kim , Svetlozar T. Rachev , Frank J. Fabozzi

This paper investigates the pricing of European-style lookback options when the price dynamics of the underlying risky asset are assumed to follow a Markov-modulated Geo-metric Brownian motion; that is, the appreciation rate and the…

Pricing of Securities · Quantitative Finance 2014-07-21 Leunglung Chan , Song-Ping Zhu

We derive a closed-form solution for the price of an average price as well as an average strike geometric Asian option, by making use of the path integral formulation. Our results are compared to a numerical Monte Carlo simulation. We also…

Pricing of Securities · Quantitative Finance 2011-09-26 Jeroen P. A. Devreese , Damiaan Lemmens , Jacques Tempere

Continuous time models in the theory of real options give explicit formulas for optimal exercise strategies when options are simple and the price of an underlying asset follows a geometric Brownian motion. This paper suggests a general,…

Other Condensed Matter · Physics 2008-12-02 Svetlana Boyarchenko , Sergei Levendorskii

We develop the general integral transforms (GIT) method for pricing barrier options in the time-dependent Heston model (also with a time-dependent barrier) where the option price is represented in a semi-analytical form as a two-dimensional…

Pricing of Securities · Quantitative Finance 2022-02-15 P. Carr , A. Itkin , D. Muravey