Options pricing model parameters are inherently imprecise due to fluctuations in the real-world financial market. Traditional option pricing methods do not account for the uncertainty in parameters, but the fuzzy set theory may be applicable. This paper proposes a cash-or-nothing European call binary option pricing model based on the hypothesis that the underlying asset price, risk-free rate of...

W present a new approach to pricing American-style derivatives that is applicable to any Markovian setting (i.e., not limited to geometric Brownian motion) for which European call-option prices are readily available. By approximating the value function with an appropriately chosen interpolation function, the pricing of an American-style derivative with arbitrary payoff function is converted to ...

*Correspondence: [email protected] 1School of Management, Hebei University, Baoding 071002, China 2School of Science, Hebei University of Engineering, Handan 056038, China Abstract Multi-asset options are created to accelerate investment among countries with the development of globalization and financial market integration. Considering the human uncertainty and the influence of sudden events...

In this paper we show how to calculate European-style option prices when the log-stock and stock returns processes follow a symmetric Lévy-Stable process. We extend our results to price European-style options when the log-stock process follows a skewed Lévy-Stable process.

My research interests are in stochastic processes and mathematical finance. In particular, my dissertation provides a weak existence result which has application to the financial engineer’s calibration problem and essentially generalizes an earlier result of Gyöngy [9]. In this research statement I will briefly review the calibration problem, show how my work fits into the literature, and discu...

Using market European option prices, a method for computing a smooth local volatility function in a 1-factor continuous diffusion model is proposed. Smoothness is introduced to facilitate accurate approximation of the local volatility function from a finite set of observation data. Assuming that the underlying indeed follows a 1-factor model, it is emphasized that accurately approximating the l...

The present paper introduces new sign tests for testing for conditionally symmetric martingaledifference assumptions as well as for testing that conditional distributions of two (arbitrary) martingale-difference sequences are the same. Our analysis is based on the results that demonstrate that randomization over zero values of three-valued random variables in a conditionally symmetric martingal...

We propose a control variate method with multiple controls to effectively reduce variances of Monte Carlo simulations for pricing European options under multifactor stochastic volatility models. Based on an application of Ito’s formula, the option price is decomposed by its discounted payoff and stochastic integrals with the appearance of gradients of the unknown option price with respect to st...

There is a compelling need to accurately and efficiently compute option values. Existing literature shows that models based on constant stock volatilities have been widely used in option valuation. However, stock volatilities change constantly in real life situations. The introduction of the Auto Regressive Conditional Heteroskedasticity (ARCH) model and subsequently, the Generalized Auto Regre...