User profiles for P. V. Shevchenko

Pavel V. Shevchenko

Professor of Actuarial Studies, co-director of the Centre for Risk Analytics, Macquarie …
Verified email at mq.edu.au
Cited by 2881

Calculation of aggregate loss distributions

PV Shevchenko - arXiv preprint arXiv:1008.1108, 2010 - arxiv.org
… of uncertainty in parameter estimates on the annual loss distribution can be significant for
low-frequency/high-severity operational risks due to limited historical data (see Shevchenko (…

[BOOK][B] Modelling operational risk using Bayesian inference

PV Shevchenko - 2011 - Springer
… Dr Shevchenko joined CSIRO in 1999 to work in the area of financial risk. He leads research
… Dr Shevchenko has published extensively in academic journals, consults for major financial …

[BOOK][B] Fundamental aspects of operational risk and insurance analytics: A handbook of operational risk

MG Cruz, GW Peters, PV Shevchenko - 2015 - books.google.com
A one-stop guide for the theories, applications, and statistical methodologies essential to
operational risk Providing a complete overview of operational risk modeling and relevant …

The structural modelling of operational risk via Bayesian inference: Combining loss data with expert opinions

PV Shevchenko, MV Wüthrich - arXiv preprint arXiv:0904.1067, 2009 - arxiv.org
To meet the Basel II regulatory requirements for the Advanced Measurement Approaches,
the bank's internal model must include the use of internal data, relevant external data, …

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

RS Targino, GW Peters, PV Shevchenko - Insurance: Mathematics and …, 2015 - Elsevier
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, …

The quantification of operational risk using internal data, relevant external data and expert opinions

DD Lambrigger, PV Shevchenko… - arXiv preprint arXiv …, 2009 - arxiv.org
To quantify an operational risk capital charge under Basel II, many banks adopt a Loss
Distribution Approach. Under this approach, quantification of the frequency and severity …

Machine learning techniques for mortality modeling

P Deprez, PV Shevchenko, MV Wüthrich - European Actuarial Journal, 2017 - Springer
Various stochastic models have been proposed to estimate mortality rates. In this paper we
illustrate how machine learning techniques allow us to analyze the quality of such mortality …

Vibrational modes in the dust-plasma crystal

SV Vladimirov, PV Shevchenko, NF Cramer - Physical Review E, 1997 - APS
It is shown that vertical vibration of dust grains in a sheath region can lead to a specific low
frequency mode of a quasi-two-dimensional dust-plasma crystal. Linear dispersion …

[BOOK][B] Advances in heavy tailed risk modeling: A handbook of operational risk

GW Peters, PV Shevchenko - 2015 - books.google.com
Shevchenko, PhD, is senior principal Research scientist in the division of computational
informatics at the commonwealth scientific and industrial Research organisation, Australia, as …

Optimal consumption, investment and housing with means-tested public pension in retirement

JG Andréasson, PV Shevchenko, A Novikov - Insurance: Mathematics and …, 2017 - Elsevier
In this paper, we develop an expected utility model for retirement behaviour in the
decumulation phase of Australian retirees with sequential family status subject to consumption, …