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Handbook of heavy tailed distributions in finance / edited by Svetlozar T. Rachev.

Contributor(s): Material type: TextTextSeries: Handbooks in finance ; bk. 1Publication details: Amsterdam : Boston : Elsevier, 2003.Description: xxiv, 680 p. : ill. ; 24 cmISBN:
  • 0444508961
Other title:
  • Heavy tailed distributions in finance
Subject(s): DDC classification:
  • 332.01'5195 22
LOC classification:
  • HG176.5 .H36 2003
Online resources: Summary: The Handbook of Heavy Tailed Distributions in Finance is the first handbook to be published in the handbooks in finance series. This volume presents current research focusing on heavy tailed distributions in finance. The contributions cover methodological issues, i.e., probabilistic, statistical and econometric modeling under non- Gaussian assumptions, as well as the applications of the stable and other non -Gaussian models in finance and risk management.

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Holdings
Item type Current library Collection Call number Copy number Status Date due Barcode
Monograph & others Monograph & others CBN HQ Library 332.01'5195 HAN (Browse shelf(Opens below)) Available 31008100039649
Monograph & others Monograph & others CBN LAGOS LAISON OFFICE LIBRARY General Stacks 332.01'5195 HAN (Browse shelf(Opens below)) c.1 Available 31008100699541
Monograph & others Monograph & others CBN LAGOS LAISON OFFICE LIBRARY General Stacks 332.01'5195 HAN (Browse shelf(Opens below)) c.2 Available 31008100699533
Monograph & others Monograph & others CBN ENUGU BRANCH LIBRARY General Stacks Non-fiction 332.01'5195 HAN (Browse shelf(Opens below)) c. 1 Available 31008100636386
Monograph & others Monograph & others CBN BAUCHI BRANCH LIBRARY General Stacks Non-fiction 332.01'5195 HAN (Browse shelf(Opens below)) c.1 Available 31008100574405
Monograph & others Monograph & others CBN LAGOS LEARNING CENTRE LIBRARY General Stacks Non-fiction 332.01'5195 HAN (Browse shelf(Opens below)) c.1 Available 31008101247241

Includes bibliographical references and indexes.

The Handbook of Heavy Tailed Distributions in Finance is the first handbook to be published in the handbooks in finance series. This volume presents current research focusing on heavy tailed distributions in finance. The contributions cover methodological issues, i.e., probabilistic, statistical and econometric modeling under non- Gaussian assumptions, as well as the applications of the stable and other non -Gaussian models in finance and risk management.


oif 10/07/14

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