Shortcuts
Top of page (Alt+0)
Page content (Alt+9)
Page menu (Alt+8)
Your browser does not support javascript, some WebOpac functionallity will not be available.
.
Default
.
PageMenu
-
Main Menu
-
Simple Search
.
Advanced Search
.
Journal Search
.
Refine Search Results
.
Preferences
.
Search Menu
Simple Search
.
Advanced Search
.
New Items Search
.
Journal Search
.
Refine Search Results
.
Bottom Menu
Help
Italian
.
English
.
German
.
New Item Menu
New Items Search
.
New Items List
.
Links
SISSA Library
.
ICTP library
.
Italian National web catalog (SBN)
.
Trieste University web catalog
.
Udine University web catalog
.
© LIBERO v6.4.1sp220816
Page content
You are here
:
Catalogue Display
Catalogue Display
Saddlepoint Approximation Methods in Financial Engineering
.
Bookmark this Record
Catalogue Record 38158
.
.
Author info on Wikipedia
.
.
LibraryThing
.
.
Google Books
.
.
Amazon Books
.
Catalogue Information
Catalogue Record 38158
.
Reviews
Catalogue Record 38158
.
British Library
Resolver for RSN-38158
Google Scholar
Resolver for RSN-38158
WorldCat
Resolver for RSN-38158
Catalogo Nazionale SBN
Resolver for RSN-38158
GoogleBooks
Resolver for RSN-38158
ICTP Library
Resolver for RSN-38158
.
Share Link
Jump to link
Catalogue Information
Field name
Details
Dewey Class
519
Title
Saddlepoint Approximation Methods in Financial Engineering ([EBook]) / by Yue Kuen Kwok, Wendong Zheng.
Author
Kwok, Yue-Kuen. , 1957-
Added Personal Name
Zheng, Wendong
Other name(s)
SpringerLink (Online service)
Publication
Cham : Springer International Publishing , 2018.
Physical Details
X, 128 pages : 5 illus. : online resource.
Series
SpringerBriefs in Quantitative Finance
2192-7006
ISBN
9783319741017
Summary Note
This book summarizes recent advances in applying saddlepoint approximation methods to financial engineering. It addresses pricing exotic financial derivatives and calculating risk contributions to Value-at-Risk and Expected Shortfall in credit portfolios under various default correlation models. These standard problems involve the computation of tail probabilities and tail expectations of the corresponding underlying state variables.? The text offers in a single source most of the saddlepoint approximation results in financial engineering, with different sets of ready-to-use approximation formulas. Much of this material may otherwise only be found in original research publications. The exposition and style are made rigorous by providing formal proofs of most of the results. Starting with a presentation of the derivation of a variety of saddlepoint approximation formulas in different contexts, this book will help new researchers to learn the fine technicalities of the topic. It will also be valuable to quantitative analysts in financial institutions who strive for effective valuation of prices of exotic financial derivatives and risk positions of portfolios of risky instruments. ?.:
System details note
Online access to this digital book is restricted to subscription institutions through IP address (only for SISSA internal users)
Internet Site
http://dx.doi.org/10.1007/978-3-319-74101-7
Links to Related Works
Subject References:
Economics, Mathematical
.
Mathematics
.
Method of steepest descent (Numerical analysis)
.
Quantitative Finance
.
Authors:
author
.
Kwok, Yue-Kuen. 1957-
.
Zheng, Wendong
.
Corporate Authors:
SpringerLink (Online service)
.
Series:
SpringerBriefs in Quantitative Finance
.
Classification:
519
.
.
ISBD Display
Catalogue Record 38158
.
Tag Display
Catalogue Record 38158
.
Related Works
Catalogue Record 38158
.
Marc XML
Catalogue Record 38158
.
Add Title to Basket
Catalogue Record 38158
.
Catalogue Information 38158
Beginning of record
.
Catalogue Information 38158
Top of page
.
Download Title
Catalogue Record 38158
Export
This Record
As
Labelled Format
Bibliographic Format
ISBD Format
MARC Format
MARC Binary Format
MARCXML Format
User-Defined Format:
Title
Author
Series
Publication Details
Subject
To
File
Email
Reviews
This item has not been rated.
Add a Review and/or Rating
38158
1
38158
-
2
38158
-
3
38158
-
4
38158
-
5
38158
-
Quick Search
Search for