logo

EbookBell.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link:  https://ebookbell.com/faq 


We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.


For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookBell Team

Handbook Of Heavy Tailed Distributions In Finance St Rachev

  • SKU: BELL-1438554
Handbook Of Heavy Tailed Distributions In Finance St Rachev
$ 31.00 $ 45.00 (-31%)

4.7

86 reviews

Handbook Of Heavy Tailed Distributions In Finance St Rachev instant download after payment.

Publisher: North Holland
File Extension: PDF
File size: 8.44 MB
Pages: 661
Author: S.T Rachev
ISBN: 9780444508966, 0444508961
Language: English
Year: 2003

Product desciption

Handbook Of Heavy Tailed Distributions In Finance St Rachev by S.t Rachev 9780444508966, 0444508961 instant download after payment.

The Handbooks in Finance are intended to be a definitive source for comprehensive and accessible information in the field of finance. Each individual volume in the series should present an accurate self-contained survey of a sub-field of finance, suitable for use by finance and economics professors and lecturers, professional researchers, graduate students and as a teaching supplement. The goal is to have a broad group of outstanding volumes in various areas of finance. The Handbook of Heavy Tailed Distributions in Finance is the first handbook to be published in this series.

This volume presents current research focusing on heavy tailed distributions in finance. The contributions cover methodological issues, i.e., probabilistic, statistical and econometric modelling under non- Gaussian assumptions, as well as the applications of the stable and other non -Gaussian models in finance and risk management.

Related Products