FP7Реинтеграция2013–2017

MULTIVARIATE SHOCKS · When bad things come together: multivariate shocks, interacting risks and their applications in economics

7РП — „Хора“ (Действия „Мария Кюри“)

Период
2013-08-01 → 2017-07-31
Финансиране от ЕС
100 000 €
Участници
1
Схема
MC-CIG

Линиите свързват координатора с партньорите.

Накратко на български

Взаимодействието между различни рискове се анализира чрез математически модели, например при оценка на кредитни загуби или жертви в конфликти. Това помага за по-точното разбиране на ситуации, в които няколко негативни събития се случват едновременно.

Този кратък обзор е генериран от изкуствен интелект

Кратко обяснение, генерирано от езиков модел по текста на CORDIS. Оригиналът е по-долу.

Резултати накратко

When bad things come together: multivariate shocks, interacting risks and their applications in economics

The aim of the Marie Curie CIG “Multivariate Shocks” has been (and still is) to foster and further develop the use of shock and default models in the fields of economics and the social sciences, in particular when several sources of risk do interact and depend on each other. Under this project, several tools have been proposed and used, from urn models to point processes, from extreme value theory to Bayesian statistics. Over the last four years, in accordance with the initial proposal and the mid-term report, interesting results have been obtained, and others will appear in the near future. Topics like the modeling of the probability of default of a counterparty in credit risk management, the recovery process of a defaulted exposure, the volatility of extreme losses, the joint mortality of couples of annuitants, the number and the entity of malpractice claims, the study of apparently infinite-mean phenomena, and even the distribution of casualties in wars and armed conflicts have been studied. Behind these applications, new theoretical tools have been developed, like for example the shadow distribution approach for extremely fat tails, concentration profiles and maps to study the behavior of the very upper tail of a distribution, the Beta-Stacy Dirichlet bivariate process, and new algorithms for the computation of some exact multinomial probabilities. The findings have been and will be published in peer-reviewed journals, some of them under the open-access policy. In any case, camera-ready versions of every paper are available on open repositories like SSRN, arXiv and TU Delft open research archive. Some papers, in particular those dealing with the modeling of casualties in armed conflicts, gained a lot of attention from the Media as they seem to contradict the so-called “Long Peace” theory, supported by important sociologists and historians. Newspapers like The Guardian and The Telegraph reported the main findings, which were also discussed on important online platforms Like Yahoo!Finance and Vox. As expected, the outcomes of the research have also been shared in several conferences and workshops, in the Netherlands and abroad. In most of the cases, the researcher has presented his results as an invited or even plenary speaker. With the support of this Marie Curie CIG, two important research events have been organized: - Workshop on "Extremes and Risks in Higher Dimensions", Lorentz Center, Leiden, September 12-16 2016. https://www.lorentzcenter.nl/lc/web/2016/837/info.php3?wsid=837 - 11th Extreme Value Analysis Conference, TU Delft, Delft, June 26-30 2017. http://www.eva2017.nl Both events have been considered a success by the participants. The general public will soon have access to some of the results of this Marie Curie project in a forthcoming non-fiction book about fat tails and extreme risks, which the main researcher of this Marie Curie CIG is co-writing. This Marie Curie CIG has represented a fundamental help for Dr. Cirillo to become a respected researcher and teacher in The Netherlands and abroad, and to receive his tenure from Delft University of Technology. The research developed under the “Multivariate Shocks” project will surely constitute a solid basis for future developments and findings. At present two PhD students, financed by additional grants, are working on these topics under the supervision of Dr. Cirillo.

Текст от CORDIS, на английски · Данни: CORDIS, © Европейски съюз

Цел на проекта

The project I am presenting is meant to fulfill the ideals behind a Marie Curie CIG. In fact, while it has its solid roots in the studies I have conducted so far, in my PhD thesis and during my postdoctoral research period at Bern University (CH), it also possesses all the ingredients to integrate and complement the research interests and projects of my new research “home”, TU Delft (NL).From a scientific point of view, the project represents a clear evolution of my research interests: moving from univariate shock models to the multivariate case means entering into a new exciting field of research, where just a few pioneering works are present.Imagine a system subject to random shocks of random magnitude that can make it fail. Such a situation can be visualized as a skyscraper receiving one or more earthquake shakes: the building may collapse because of one single large stroke, or because of the cumulative effect of several weaker shakes, each one partially damaging its foundations until implosion. Other examples may be a firm suffering liquidity problems, or simply a bar of metal stressed with different random loadings. Shock models are meant to study these phenomena.Most of the constructions available in the literature are univariate. This means that we often consider a single-component system subject to random shocks. Most of the times, also shocks are simply assumed to be of one single type (cumulative or extreme), even if some important exceptions are to be considered, as in the case of competing risk models.The importance of the multivariate extension is linked to the several meaningful applications that multivariate shock models may have in risk analysis, when dealing with sets of defaults and interacting risks. An electrical grid subject to voltage spikes or a financial network are good examples.My aim is to present both parametric and nonparametric models, using tools such as copulas and interacting urn models. Economic applications are expected.

Оригинален текст от CORDIS (на английски).

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Данни: CORDIS, © Европейски съюз