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相关论文: A Theory of Non_Gaussian Option Pricing

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Options are financial instruments that depend on the underlying stock. We explain their non-Gaussian fluctuations using the nonextensive thermodynamics parameter $q$. A generalized form of the Black-Scholes (B-S) partial differential…

统计力学 · 物理学 2009-11-07 Lisa Borland

Closed form option pricing formulae explaining skew and smile are obtained within a parsimonious non-Gaussian framework. We extend the non-Gaussian option pricing model of L. Borland (Quantitative Finance, {\bf 2}, 415-431, 2002) to include…

其他凝聚态物理 · 物理学 2009-09-29 L. Borland , J. P. Bouchaud

A new theory for pricing options of a stock is presented. It is based on the assumption that while successive variations in return are uncorrelated, the frequency with which a stock is traded depends on the value of the return. The solution…

统计力学 · 物理学 2008-12-10 Gemunu H. Gunaratne , Joseph L. McCauley

The standard Black-Scholes theory of option pricing is extended to cope with underlying return fluctuations described by general probability distributions. A Langevin process and its related Fokker-Planck equation are devised to model the…

物理与社会 · 物理学 2009-11-11 L. Moriconi

We derive an extremal fractional Gaussian by employing the L\'evy-Khintchine theorem and L\'evian noise. With the fractional Gaussian we then generalize the Black-Scholes-Merton option-pricing formula. We obtain an easily applicable and…

证券定价 · 定量金融 2019-12-04 Alexander Jurisch

In a seminal paper in 1973, Black and Scholes argued how expected distributions of stock prices can be used to price options. Their model assumed a directed random motion for the returns and consequently a lognormal distribution of asset…

计算工程、金融与科学 · 计算机科学 2009-11-07 Joseph L. McCauley , Gemunu H. Gunaratne

We fit the volatility fluctuations of the S&P 500 index well by a Chi distribution, and the distribution of log-returns by a corresponding superposition of Gaussian distributions. The Fourier transform of this is, remarkably, of the Tsallis…

证券定价 · 定量金融 2009-06-16 Petr Jizba , Hagen Kleinert , Patrick Haener

We recently showed that the S&P500 stock market index is well described by Tsallis non-extensive statistics and nonlinear Fokker-Planck time evolution. We argued that these results should be applicable to a broad range of markets and…

统计力学 · 物理学 2008-12-02 Fredrick Michael , M. D. Johnson

We consider the problem of option pricing and hedging when stock returns are correlated in time. Within a quadratic-risk minimisation scheme, we obtain a general formula, valid for weakly correlated non-Gaussian processes. We show that for…

凝聚态物理 · 物理学 2007-05-23 Lorenzo Cornalba , Jean-Philippe Bouchaud , Marc Potters

We reconsider the problem of option pricing using historical probability distributions. We first discuss how the risk-minimisation scheme proposed recently is an adequate starting point under the realistic assumption that price increments…

凝聚态物理 · 物理学 2009-10-31 Jean-Philippe Bouchaud , Marc Potters

It is well known that the probability distribution of high-frequency financial returns is characterized by a leptokurtic, heavy-tailed shape. This behavior undermines the typical assumption of Gaussian log-returns behind the standard…

统计金融 · 定量金融 2023-06-14 Federica De Domenico , Giacomo Livan , Guido Montagna , Oreste Nicrosini

Volatility clustering, long-range dependence, and non-Gaussian scaling are stylized facts of financial assets dynamics. They are ignored in the Black & Scholes framework, but have a relevant impact on the pricing of options written on…

证券定价 · 定量金融 2020-02-12 Fulvio Baldovin , Massimiliano Caporin , Michele Caraglio , Attilio Stella , Marco Zamparo

This paper provides evidence that stock returns, after truncation, might be modeled by a special type of continuous mixtures or normals, so-called $q$-Gaussians. Negative binomial distributions might model the counts for extreme returns. A…

数理金融 · 定量金融 2025-03-12 Xinxin Jiang

The Black-Scholes model (sometimes known as the Black-Scholes-Merton model) gives a theoretical estimate for the price of European options. The price evolution under this model is described by the Black-Scholes formula, one of the most…

综合金融 · 定量金融 2018-08-15 Rajeshwari Majumdar , Phanuel Mariano , Lowen Peng , Anthony Sisti

A new mathematical model for the Black-Scholes equation is proposed to forecast option prices. This model includes new interval for the price of the underlying stock as well as new initial and boundary conditions. Conventional notions of…

数理金融 · 定量金融 2015-03-13 Michael V. Klibanov , Andrey V. Kuzhuget

In this work we present an analytical model, based on the path-integral formalism of Statistical Mechanics, for pricing options using first-passage time problems involving both fixed and deterministically moving absorbing barriers under…

数理金融 · 定量金融 2018-04-24 Andre Catalao , Rogerio Rosenfeld

We investigate qualitative and quantitative behavior of a solution of the mathematical model for pricing American style of perpetual put options. We assume the option price is a solution to the stationary generalized Black-Scholes equation…

数理金融 · 定量金融 2017-11-09 Maria do Rosario Grossinho , Yaser Kord Faghan , Daniel Sevcovic

We show that our generalization of the Black-Scholes partial differential equation (pde) for nontrivial diffusion coefficients is equivalent to a Martingale in the risk neutral discounted stock price. Previously, this was proven for the…

物理与社会 · 物理学 2009-11-11 J. L. McCauley , G. H. Gunaratne , K. E. Bassler

There is a well developed framework, the Black-Scholes theory, for the pricing of contracts based on the future prices of certain assets, called options. This theory assumes that the probability distribution of the returns of the underlying…

凝聚态物理 · 物理学 2009-11-10 Ruy Gabriel Balieiro Filho , Rogerio Rosenfeld

Within a path integral formalism for non-Gaussian price fluctuations we set up a simple stochastic calculus and derive a natural martingale for option pricing from the wealth balance of options, stocks, and bonds. The resulting formula is…

凝聚态物理 · 物理学 2015-06-24 Hagen Kleinert
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