Discrete approximation of risk-based prices under volatility uncertainty

Fuente: arXiv
Saved in:
Bibliographic Details
Main Authors: Blessing, Jonas, Kupper, Michael, Sgarabottolo, Alessandro
Format: Preprint
Published: 2024
Subjects:
Online Access:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1866909374672273408
author Blessing, Jonas
Kupper, Michael
Sgarabottolo, Alessandro
author_facet Blessing, Jonas
Kupper, Michael
Sgarabottolo, Alessandro
contents We discuss the asymptotic behaviour of risk-based indifference prices of European contingent claims in discrete-time financial markets under volatility uncertainty as the number of intermediate trading periods tends to infinity. The asymptotic risk-based prices form a strongly continuous convex monotone semigroup which is uniquely determined by its infinitesimal generator and therefore only depends on the covariance of the random factors but not on the particular choice of the model. We further compare the risk-based prices with the worst-case prices given by the $G$-expectation and investigate their asymptotic behaviour as the risk aversion of the agent tends to infinity. The theoretical results are illustrated with several examples and numerical simulations showing, in particular, that the risk-based prices lead to a significant reduction of the bid-ask spread compared to the worst-case prices.
format Preprint
id arxiv_https___arxiv_org_abs_2411_00713
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Discrete approximation of risk-based prices under volatility uncertainty
Blessing, Jonas
Kupper, Michael
Sgarabottolo, Alessandro
Mathematical Finance
Probability
We discuss the asymptotic behaviour of risk-based indifference prices of European contingent claims in discrete-time financial markets under volatility uncertainty as the number of intermediate trading periods tends to infinity. The asymptotic risk-based prices form a strongly continuous convex monotone semigroup which is uniquely determined by its infinitesimal generator and therefore only depends on the covariance of the random factors but not on the particular choice of the model. We further compare the risk-based prices with the worst-case prices given by the $G$-expectation and investigate their asymptotic behaviour as the risk aversion of the agent tends to infinity. The theoretical results are illustrated with several examples and numerical simulations showing, in particular, that the risk-based prices lead to a significant reduction of the bid-ask spread compared to the worst-case prices.
title Discrete approximation of risk-based prices under volatility uncertainty
topic Mathematical Finance
Probability
url https://arxiv.org/abs/2411.00713