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We model the logarithm of the price (log-price) of a financial asset as a random variable obtained by projecting an operator stable random vector with a scaling index matrix $\underline{\underline{E}}$ onto a non-random vector. The scaling…

Probability · Mathematics 2015-06-26 Przemysław Repetowicz , Peter Richmond

We study markets with no riskless (safe) asset. We derive the corresponding Black-Scholes-Merton option pricing equations for markets where there are only risky assets which have the following price dynamics: (i) continuous diffusions; (ii)…

Mathematical Finance · Quantitative Finance 2016-12-08 Svetlozar Rachev , Frank Fabozzi

An investor faced with a contingent claim may eliminate risk by perfect hedging, but as it is often quite expensive, he seeks partial hedging (quantile hedging or efficient hedging) that requires less capital and reduces the risk. Efficient…

Pricing of Securities · Quantitative Finance 2014-03-31 Kyong-Hui Kim , Myong-Guk Sin

Given a process with independent increments $X$ (not necessarily a martingale) and a large class of square integrable r.v. $H=f(X_T)$, $f$ being the Fourier transform of a finite measure $\mu$, we provide explicit Kunita-Watanabe and…

Probability · Mathematics 2012-02-06 Stéphane Goutte , Nadia Oudjane , Francesco Russo

We show that the shortfall risk of binomial approximations of game (Israeli) options converges to the shortfall risk in the corresponding Black--Scholes market considering Lipschitz continuous path-dependent payoffs for both discrete- and…

Probability · Mathematics 2008-12-02 Yan Dolinsky , Yuri Kifer

In this paper, an integral equation representation for the early exercise boundary of an American option contract is considered. Thus far, a number of different techniques have been proposed in the literature to obtain a variety of integral…

Numerical Analysis · Mathematics 2017-10-03 Khadijeh Nedaiasl , Ali Foroush Bastani , Aysan Rafiee

In this paper we propose an efficient method to compute the price of multi-asset American options, based on Machine Learning, Monte Carlo simulations and variance reduction technique. Specifically, the options we consider are written on a…

Computational Finance · Quantitative Finance 2019-12-04 Ludovic Goudenège , Andrea Molent , Antonino Zanette

This research addresses accurate option pricing by employing models beyond the traditional Black-Scholes framework. While Black-Scholes provides a closed-form solution, it is limited by assumptions of constant volatility, no dividends, and…

Computational Finance · Quantitative Finance 2026-04-08 Karmanpartap Singh Sidhu , Pranshi Saxena

In this paper we provide a valuation formula for different classes of actuarial and financial contracts which depend on a general loss process, by using the Malliavin calculus. In analogy with the celebrated Black-Scholes formula, we aim at…

Computational Finance · Quantitative Finance 2017-07-18 Caroline Hillairet , Ying Jiao , Anthony Réveillac

We study general properties such as the solution representation of a moving boundary value problem of the Black-Scholes equation, its min-max estimation, lower and upper gradient estimates, and strict monotonicity with respect to the…

Pricing of Securities · Quantitative Finance 2022-03-14 Hyong-Chol O , Tae-Song Choe

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 derive error estimates for multinomial approximations of American options in a multidimensional jump--diffusion Merton's model. We assume that the payoffs are Markovian and satisfy Lipschitz type conditions. Error estimates for such type…

Computational Finance · Quantitative Finance 2010-04-12 Yan Dolinsky

In this paper we provide an extensive classification of one and two dimensional diffusion processes which admit an exact solution to the Kolmogorov (and hence Black-Scholes) equation (in terms of hypergeometric functions). By identifying…

Other Condensed Matter · Physics 2007-05-23 Pierre Henry-Labordere

The minimization of a multiobjective Lagrangian with non-constant discount is studied. The problem is embedded into a set-valued framework and a corresponding definition of the value function is given. Bellman's optimality principle and…

Optimization and Control · Mathematics 2021-05-06 Daniela Visetti

Treating high dimensionality is one of the main challenges in the development of computational methods for solving problems arising in finance, where tasks such as pricing, calibration, and risk assessment need to be performed accurately…

Computational Finance · Quantitative Finance 2019-02-13 Kathrin Glau , Daniel Kressner , Francesco Statti

We develop several deep learning algorithms for approximating families of parametric PDE solutions. The proposed algorithms approximate solutions together with their gradients, which in the context of mathematical finance means that the…

Computational Finance · Quantitative Finance 2022-01-19 Marc Sabate Vidales , David Siska , Lukasz Szpruch

We study perpetual American option pricing problems in an extension of the Black-Merton-Scholes model in which the dividend and volatility rates of the underlying risky asset depend on the running values of its maximum and maximum drawdown.…

Probability · Mathematics 2016-04-12 Pavel V. Gapeev , Neofytos Rodosthenous

We show how the prices of options can be determined with the help of double-fractional differential equation in such a way that their inclusion in a portfolio of stocks provides a more reliable hedge against dramatic price drops that the…

Risk Management · Quantitative Finance 2016-03-11 Hagen Kleinert , Jan Korbel

The Black-Scholes model gives vanilla Europen call option prices as a function of the volatility. We prove Lipschitz stability in the inverse problem of determining the implied volatility, which is a function of the underlying asset, from a…

Analysis of PDEs · Mathematics 2013-02-05 Mourad Bellassoued , Raymond Brummelhuis , Michel Cristofol , Eric Soccorsi

Total value adjustment (XVA) is the change in value to be added to the price of a derivative to account for the bilateral default risk and the funding costs. In this paper, we compute such a premium for American basket derivatives whose…

Computational Finance · Quantitative Finance 2022-09-15 Ludovic Goudenege , Andrea Molent , Antonino Zanette
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