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Copulae in mathematical and quantitative finance : proceedings of the workshop held in Cracow, 10-11 july 2012

Jaworski, Piotr - Nama Orang;

Copulas are mathematical objects that fully capture the dependence structure among random variables and hence offer great flexibility in building multivariate stochastic models. Since their introduction in the early 1950s, copulas have gained considerable popularity in several fields of applied mathematics, especially finance and insurance. Today, copulas represent a well-recognized tool for market and credit models, aggregation of risks, and portfolio selection. Historically, the Gaussian copula model has been one of the most common models in credit risk. However, the recent financial crisis has underlined its limitations and drawbacks. In fact, despite their simplicity, Gaussian copula models severely underestimate the risk of the occurrence of joint extreme events. Recent theoretical investigations have put new tools for detecting and estimating dependence and risk (like tail dependence, time-varying models, etc) in the spotlight. All such investigations need to be further developed and promoted, a goal this book pursues. The book includes surveys that provide an up-to-date account of essential aspects of copula models in quantitative finance, as well as the extended versions of talks selected from papers presented at the workshop in Cracow.


Ketersediaan
#
Perpustakaan Pusat E807
E807
Tersedia
Informasi Detail
Judul Seri
-
No. Panggil
E807
Penerbit
Jerman : Springer Berlin, Heidelberg., 2013
Deskripsi Fisik
xii, 294 hlm.
Bahasa
English
ISBN/ISSN
9783642354076
Klasifikasi
NONE
Tipe Isi
text
Tipe Media
computer
Tipe Pembawa
online resource
Edisi
Ed.1
Subjek
Statistik
Info Detail Spesifik
-
Pernyataan Tanggungjawab
Piotr Jaworski, Fabrizio Durante, Wolfgang Karl Härdle
Versi lain/terkait

Tidak tersedia versi lain

Lampiran Berkas
  • Copulae in mathematical and quantitative finance : proceedings of the workshop held in Cracow, 10-11 july 2012
    https://doi.org/10.1007/978-3-642-35407-6
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