activity
20162021
most citedNumerical stability of a hybrid method for pricing options

5 citations · 6 across the 5 of their papers we have counts for

collaborators

6 papers

q-fin.ST2021

A Bayesian analysis of gain-loss asymmetry

Andrea Giuseppe Di Iura, Giulia Terenzi

We perform a quantitative analysis of the gain/loss asymmetry for financial time series by using a Bayesian approach. In particular, we focus on some selected indices and analyze t…

math.PR2019

Option prices in stochastic volatility models

Giulia Terenzi

In the first part of this thesis, we focus on American options in the Heston model. We first give an analytical characterization of the value function of an American option as the…

math.PR2019

Properties of the American price function in the Heston-type models

Damien Lamberton, Giulia Terenzi

We study some properties of the American option price in the stochastic volatility Heston model. We first prove that, if the payoff function is convex and satisfies some regularity…

math.PR2018★ 1 cited

Convergence rate of Markov chains and hybrid numerical schemes to jump-diffusions with application to the Bates model

Maya Briani, Lucia Caramellino, Giulia Terenzi

We study the rate of weak convergence of Markov chains to diffusion processes under suitable but quite general assumptions. We give an example in the financial framework, applying…

math.PR2017

Variational formulation of American option prices in the Heston Model

Damien Lamberton, Giulia Terenzi

We give an analytical characterization of the price function of an American option in Heston-type models. Our approach is based on variational inequalities and extends recent resul…

q-fin.CP2016★ 5 cited

Numerical stability of a hybrid method for pricing options

Maya Briani, Lucia Caramellino, Giulia Terenzi +1

We develop and study stability properties of a hybrid approximation of functionals of the Bates jump model with stochastic interest rate that uses a tree method in the direction of…