Lorenz-based quantitative risk management

Doctoral Thesis (2019)
Author(s)

A. Fontanari (TU Delft - Numerical Analysis, TU Delft - Applied Probability)

Research Group
Numerical Analysis
Copyright
© 2019 A. Fontanari
More Info
expand_more
Publication Year
2019
Language
English
Copyright
© 2019 A. Fontanari
Research Group
Numerical Analysis
ISBN (print)
978-94-6380-657-2
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

In this thesis, we address problems of quantitative risk management using a specific set of tools that go under the name of Lorenz curve and inequality indices, developed to describe the socio-economic variability of a random variable.
Quantitative risk management deals with the estimation of the uncertainty that is
embedded in the activities of banks and other financial players due, for example, to
market fluctuations. Since the well-being of such financial players is fundamental for the correct functioning of the economic system, an accurate description and estimation of such uncertainty is crucial.

Files

PhD_Thesis_Fontanari.pdf
(pdf | 11.1 Mb)
License info not available