Estimating the finite-time ruin probability of a surplus with a long memory via Malliavin calculus

06/19/2022
by   Shota Nakamura, et al.
0

We consider a surplus process of drifted fractional Brownian motion with the Hurst index H>1/2, which appears as a functional limit of drifted compound Poisson risk models with correlated claims, and this is a kind of representation of a surplus with a long memory. Our interest is to construct confidence intervals of the ruin probability of the surplus when the volatility parameter is unknown. We will obtain the derivative of the ruin probability w.r.t. the volatility parameter via Malliavin calculus, and apply the delta method to identify the asymptotic distribution of an estimated ruin probability.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
12/14/2021

Confidence intervals of ruin probability under Lévy surplus

The aim of this paper is to construct the confidence interval of the ult...
research
06/30/2021

Mixed semimartingales: Volatility estimation in the presence of fractional noise

We consider the problem of estimating volatility for high-frequency data...
research
11/23/2017

Change point inference on volatility in noisy Itô semimartingales

This work is concerned with tests on structural breaks in the spot volat...
research
05/17/2020

Berry-Esséen bound for drift estimation of fractional Ornstein Uhlenbeck process of second kind

In the present paper we consider the Ornstein-Uhlenbeck process of the s...
research
07/21/2020

Edgeworth corrections for spot volatility estimator

We develop Edgeworth expansion theory for spot volatility estimator unde...
research
12/31/2021

Two-Stage and Sequential Unbiased Estimation of N in Binomial Trials, when the Probability of Success p is Unknown

We propose two-stage and sequential procedures to construct prescribed p...
research
08/01/2022

Short-time expansion of characteristic functions in a rough volatility setting with applications

We derive a higher-order asymptotic expansion of the conditional charact...

Please sign up or login with your details

Forgot password? Click here to reset