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Книга
Промышленные метавселенные

Годунова Е. А., Санатов Д. В., Тибина Е. Ю. и др.

СПб.: 2023.

Статья
Robustness to manipulations in school choice

Nesterov A. S., Rospuskova O., Rubtsova S.

Social Choice and Welfare. 2024. P. 1-30.

Глава в книге
A Survey on Business Cycles: History, Theory and Empirical Findings

Orlando G., Sportelli M.

In bk.: Consequences of Social Transformation for Economic Theory. Proceedings of the 2022 Euro-Asian Symposium on Economic Theory (EASET), Ekaterinburg, Russia. Ekaterinburg: Springer, 2022. P. 5-34.

Препринт
Equilibrium existence and uniqueness in additive trade models

Slepov Fedor, Kokovin S. G.

Basic research program. WP BRP. National Research University Higher School of Economics, 2023. No. 262/EC/2023.

XVIII заседание регулярного научного семинара департамента экономики

На XVIII заседании научного семинара департамента экономики Санкт-Петербургской школы экономики и менеджмента НИУ ВШЭ с докладом «Fat tails and copulas: limits of diversification revisited» выступит профессор университета Сиднея Артем Прохоров. Семинар состоится 19 января в 15:20 по адресу: Кантемировская улица, д.3, корп. 1, лит. А, ауд. 345. Ждем всех заинтересовавшихся преподавателей, исследователей, студентов.
Аннотация доклада:

We consider the problem of portfolio risk diversification in a Value-at-Risk framework with heavy-tailed risks and arbitrary dependence captured by a copula function. We use the power law for modelling the tails and investigate whether the benefits of diversification persist when the risks in consideration are allowed to have extremely heavy tails with tail indices less than one and when their copula describes wide classes of dependence structures. We show that for asymptotically large losses with the Eyraud-Farlie-Gumbel-Morgenstern copula, the threshold value of tail indices at which diversification stops being beneficial is the same as for independent losses. We further extend this result to a wider range of dependence structures which can be approximated using power-type copulas and their approximations. This range of dependence structures includes many well known copula families, among which there are comprehensive, Archimedian, asymmetric and tail dependent copulas. In other words, diversification increases Value-at-Risk for tail indices less than one regardless of the nature of dependence between portfolio components within these classes. A wide setof simulations supports these theoretical results.