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When trading American and Asian options in the FX derivatives market, banks must calculate prices using a complex mathematical model. It is often observed that different models produce varying prices for the same exotic option, which…

Pricing of Securities · Quantitative Finance 2023-04-24 Dongli Wu , Bufan Zhang , Xiao Lin

We provide a short-time large deviation principle (LDP) for stochastic volatility models, where the volatility is expressed as a function of a Volterra process. This LDP does not require strict self-similarity assumptions on the Volterra…

Mathematical Finance · Quantitative Finance 2023-11-14 Giacomo Giorgio , Barbara Pacchiarotti , Paolo Pigato

We use the expectation of the range of an arithmetic Brownian motion and the method of moments on the daily high, low, opening and closing prices to estimate the volatility of the stock price. The daily price jump at the opening is…

Statistical Finance · Quantitative Finance 2011-12-21 Cristin Buescu , Michael Taksar , Fatoumata J. Koné

Option pricing formulas are derived from a non-Gaussian model of stock returns. Fluctuations are assumed to evolve according to a nonlinear Fokker-Planck equation which maximizes the Tsallis nonextensive entropy of index $q$. A generalized…

Statistical Mechanics · Physics 2008-12-10 Lisa Borland

This paper gives an arbitrage-free prediction for future prices of an arbitrary co-terminal set of options with a given maturity, based on the observed time series of these option prices. The statistical analysis of such a multi-dimensional…

Pricing of Securities · Quantitative Finance 2014-07-22 Petros Dellaportas , Aleksandar Mijatović

We study the regularity of the stochastic representation of the solution of a class of initial-boundary value problems related to a regime-switching diffusion. This representation is related to the value function of a finite-horizon optimal…

Probability · Mathematics 2017-06-12 S. D. Jacka , A. Ocejo

Exponential L\'evy processes can be used to model the evolution of various financial variables such as FX rates, stock prices, etc. Considerable efforts have been devoted to pricing derivatives written on underliers governed by such…

Pricing of Securities · Quantitative Finance 2012-06-29 Leif Andersen , Alexander Lipton

We provide a comprehensive analysis of spot volatility inference in pure-jump semimartingales under two asymptotic settings: fixed-$k$, where each local window uses a fixed number of observations, and large-$k$, where this number grows with…

Statistics Theory · Mathematics 2026-01-27 Chengxin Yan , Dachuan Chen , Jia Li

We construct a sequence of functions that uniformly converge (on compact sets) to the price of Asian option, which is written on a stock whose dynamics follows a jump diffusion, exponentially fast. Each of the element in this sequence…

Computational Engineering, Finance, and Science · Computer Science 2008-10-29 Erhan Bayraktar , Hao Xing

A motivating question in this paper is whether a sensible investment strategy may systematically contain long positions in out-of-the-money European calls with short expiry. Here we consider a very simple trading strategy for calls. The…

Mathematical Finance · Quantitative Finance 2014-10-07 Jarno Talponen

We introduce a simple stochastic volatility model, whose novelty consists in taking into account hitting times of the asset price, and study the optimal stopping problem corresponding to a put option whose time horizon (after the asset…

Pricing of Securities · Quantitative Finance 2017-03-29 Sigurd Assing , Yufan Zhao

We consider a process $X_t$, which is observed on a finite time interval $[0,T]$, at discrete times $0,\Delta_n,2\Delta_n,\ldots.$ This process is an It\^{o} semimartingale with stochastic volatility $\sigma_t^2$. Assuming that $X$ has…

Statistical Finance · Quantitative Finance 2010-10-26 Jean Jacod , Viktor Todorov

Black-Scholes implied volatility is a quantile. The insight follows from the normalized option price being a probability on the variance scale, with the inverse Gaussian distribution providing the link. It enables analytically exact and…

Mathematical Finance · Quantitative Finance 2026-05-19 Wolfgang Schadner

We prove that if the Black-Scholes formula holds with the spot volatility for call options with all strikes, then the volatility parameter is constant. The proof relies some result on semimartingales (Theorem 2) of independent interest.

Probability · Mathematics 2008-12-02 K. Hamza , F. C. Klebaner

In this paper, we study the asymptotic behaviors of implied volatility of an affine jump-diffusion model. Let log stock price under risk-neutral measure follow an affine jump-diffusion model, we show that an explicit form of moment…

Mathematical Finance · Quantitative Finance 2020-05-11 Nian Yao , Zhiqiu Li , Zhichao Ling , Junfeng Lin

In this paper, we study the portfolio optimization problem with general utility functions and when the return and volatility of underlying asset are slowly varying. An asymptotic optimal strategy is provided within a specific class of…

Mathematical Finance · Quantitative Finance 2016-11-08 Jean-Pierre Fouque , Ruimeng Hu

We study the valuation of an American put option with a random time horizon given by the last exit time of the underlying asset from a fixed level. Since this random time is not a stopping time, the problem falls outside the classical…

Probability · Mathematics 2026-03-31 Zhuoshu Wu , Libo Li

We provide representations of solutions to terminal value problems of inhomogeneous Black-Scholes equations and studied such general properties as min-max estimates, gradient estimates, monotonicity and convexity of the solutions with…

Pricing of Securities · Quantitative Finance 2016-01-19 Hyong-Chol O , Ji-Sok Kim

Geometric Asian options are a type of options where the payoff depends on the geometric mean of the underlying asset over a certain period of time. This paper is concerned with the pricing of such options for the class of Volterra-Heston…

Pricing of Securities · Quantitative Finance 2025-01-14 Florian Aichinger , Sascha Desmettre

We consider a stochastic volatility model which captures relevant stylized facts of financial series, including the multi-scaling of moments. The volatility evolves according to a generalized Ornstein-Uhlenbeck processes with super-linear…

Probability · Mathematics 2017-07-07 Francesco Caravenna , Jacopo Corbetta
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