Copulae in Mathematical and Quantitative Finance (Record no. 97642)

000 -LEADER
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001 - CONTROL NUMBER
control field 978-3-642-35407-6
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20140220082900.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
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020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783642354076
-- 978-3-642-35407-6
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-3-642-35407-6
Source of number or code doi
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number QA276-280
072 #7 - SUBJECT CATEGORY CODE
Subject category code PBT
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code K
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code BUS061000
Source bisacsh
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 330.015195
Edition number 23
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Jaworski, Piotr.
Relator term editor.
245 10 - TITLE STATEMENT
Title Copulae in Mathematical and Quantitative Finance
Medium [electronic resource] :
Remainder of title Proceedings of the Workshop Held in Cracow, 10-11 July 2012 /
Statement of responsibility, etc edited by Piotr Jaworski, Fabrizio Durante, Wolfgang Karl Härdle.
264 #1 -
-- Berlin, Heidelberg :
-- Springer Berlin Heidelberg :
-- Imprint: Springer,
-- 2013.
300 ## - PHYSICAL DESCRIPTION
Extent XII, 294 p. 38 illus., 24 illus. in color.
Other physical details online resource.
336 ## -
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-- txt
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-- computer
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-- online resource
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-- text file
-- PDF
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490 1# - SERIES STATEMENT
Series statement Lecture Notes in Statistics,
International Standard Serial Number 0930-0325 ;
Volume number/sequential designation 213
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note A Convolution-based Autoregressive Process by Umberto Cherubini and Fabio Gobbi -- Selection of Vine Copulas by Claudia Czado, Eike Christian Brechmann and Lutz Gruber -- Copulas in Machine Learning by Gal Elidan -- An Overview of the Goodness-of-fit Test problem for Copulas by Jean-David Fermanian -- Assessing and Modeling Asymmetry in Bivariate Continuous data by Christian Genest and Johanna G. Nešehová -- Modeling Time-Varying Dependencies between Positive-Valued High-Frequency Time Series by Nikolaus Hautsch, Ostap Okhrin and Alexander Ristig -- The Limiting Properties of Copulas under Univariate Conditioning by Piotr Jaworski -- Singular Mixture Copulas by Dominic Lauterbach and Dietmar Pfeifer -- Toward a Copula Theory for Multivariate Regular Variation by Haijun Li -- CIID Frailty Models and Implied Copulas by Jan-Frederik Mai, Matthias Scherer and Rudi Zagst -- Copula-based Models for Multivariate Discrete Response Data by Aristidis K. Nikoloulopoulos -- Vector Generalized Linear Models: A Gaussian Copula Approach by Peter X -- K. Song, Mingyao Li and Peng Zhang -- APPENDIX A: Gaussian-Hermite Quadrature -- APPENDIX B: AREs of GEE and VGLM for binary -- Application of Bernstein Copulas to the Pricing of Multi-asset Derivatives by Bertrand Tavin.
520 ## - SUMMARY, ETC.
Summary, etc 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.  
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Statistics.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Finance.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Distribution (Probability theory).
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Economics
General subdivision Statistics.
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Statistics.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Statistics for Business/Economics/Mathematical Finance/Insurance.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Quantitative Finance.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Probability Theory and Stochastic Processes.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Financial Economics.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Durante, Fabrizio.
Relator term editor.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Härdle, Wolfgang Karl.
Relator term editor.
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
773 0# - HOST ITEM ENTRY
Title Springer eBooks
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9783642354069
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Lecture Notes in Statistics,
-- 0930-0325 ;
Volume number/sequential designation 213
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/978-3-642-35407-6
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