activity
20132026
most citedSequential Monte Carlo Samplers for capital allocation under copula-dependent risk models

33 citations · 33 across the 10 of their papers we have counts for

collaborators

11 papers

stat.CO2026

A New Perspective on Reverse Diffusion for Monte Carlo Sampling

Jairon H. N. Batista, Flávio B. Gonçalves, Yuri F. Saporito +1

This paper introduces a novel perspective on the use of reverse diffusion processes for sampling from unnormalized densities. The central idea is to embed the target density as the…

q-fin.MF2026

Robust risk measures: an averaging approach

Marcelo Righi, Rodrigo Targino

We develop an averaging approach to robust risk measurement under payoff uncertainty. Instead of taking a worst-case value over an uncertainty neighborhood, we weight nearby payoff…

stat.ML2025

A Reverse-BSDE Diffusion Sampler

Jairon H. N. Batista, Flávio B. Gonçalves, Yuri F. Saporito +1

Diffusion-based generative models have renewed interest in stochastic differential equation methods for sampling from complex distributions. We study a setting in which the target…

stat.ME2023

Conformal prediction for frequency-severity modeling

Helton Graziadei, Paulo C. Marques F., Eduardo F. L. de Melo +1

We present a model-agnostic framework for the construction of prediction intervals of insurance claims, with finite sample statistical guarantees, extending the technique of split…

q-fin.MF2023

Risk Budgeting Allocation for Dynamic Risk Measures

Silvana M. Pesenti, Sebastian Jaimungal, Yuri F. Saporito +1

We define and develop an approach for risk budgeting allocation - a risk diversification portfolio strategy - where risk is measured using a dynamic time-consistent risk measure. F…

q-fin.PM2023

Risk Budgeting Portfolios from Simulations

Bernardo Freitas Paulo da Costa, Silvana M. Pesenti, Rodrigo S. Targino

Risk budgeting is a portfolio strategy where each asset contributes a prespecified amount to the aggregate risk of the portfolio. In this work, we propose an efficient numerical fr…

q-fin.CP2020

Avoiding zero probability events when computing Value at Risk contributions

Takaaki Koike, Yuri F. Saporito, Rodrigo S. Targino

This paper is concerned with the process of risk allocation for a generic multivariate model when the risk measure is chosen as the Value-at-Risk (VaR). We recast the traditional E…

stat.AP2019

Modelling dependence within and across run-off triangles for claims reserving

Luis E. Nieto-Barajas, Rodrigo S. Targino

We propose a stochastic model for claims reserving that captures dependence along development years within a single triangle. This dependence is of autoregressive form of order …

stat.CO2014★ 33 cited

Sequential Monte Carlo Samplers for capital allocation under copula-dependent risk models

Rodrigo S. Targino, Gareth W. Peters, Pavel V. Shevchenko

In this paper we assume a multivariate risk model has been developed for a portfolio and its capital derived as a homogeneous risk measure. The Euler (or gradient) principle, then,…

q-fin.RM2013

Optimal insurance purchase strategies via optimal multiple stopping times

Rodrigo S. Targino, Gareth W. Peters, Georgy Sofronov +1

In this paper we study a class of insurance products where the policy holder has the option to insure of its annual Operational Risk losses in a horizon of years. This invo…

q-fin.RM2013

Understanding Operational Risk Capital Approximations: First and Second Orders

Gareth W. Peters, Rodrigo S. Targino, Pavel V. Shevchenko

We set the context for capital approximation within the framework of the Basel II / III regulatory capital accords. This is particularly topical as the Basel III accord is shortly…