📚 The largest truly open library in human history.
📈 64,416,225 books, 95,689,473 papers — preserved forever.
AA301TB
direct uploads
IA304TB
scraped by AA
DuXiu298TB
scraped by AA
Hathi 9TB
scraped by AA
Libgen.li214TB
collab with AA
Z-Lib 86TB
collab with AA
Libgen.rs 88TB
mirrored by AA
Sci-Hub 94TB
mirrored by AA
🛜 Official domains: FAQ and Wikipedia.
⭐️ Our code and data are 100% open source. Learn more…
‼️ Apologies, we had a glitch affecting membership. We have fixed it and given everyone affected extra downloads for 2 weeks. We got a lot of emails about this and won't be able to answer each one due to the volume. If you still have issues, please send us another email.
A Structural Framework for the Pricing of Corporate Securities: Economic and Empirical Issues (Lecture Notes in Economics and Mathematical Systems Book 566)🔍
English [en] · PDF · 2.3MB · 2006 · 📘 Book (non-fiction) · 🚀/lgli/lgrs/nexusstc/scihub/zlib · Save
description
This book is the first comprehensive treatment of structural credit risk models for the simultaneous and consistent pricing of corporate securities. Through the development of a flexible economic framework based on the firm’s EBIT, the reader is taken from the economic principles of firm value models to the empirical implementation. Analytical solutions are provided if EBIT follows an arithmetic or geometric Brownian motion. In addition, numerical methods are proposed to solve more advanced economic settings or to price derivatives on corporate securities. Numerical examples make the theory easily accessible and show its ability to reproduce empirical observations. An econometric implementation guides towards practical application. Hence, the book provides a state-of-the-art exposition of corporate securities pricing for academics and practitioners alike.
Lecture notes in economics and mathematical systems, 566, Berlin, Heidelberg, 2006
Alternative edition
Lecture notes in economics and mathematical systems, 566, Berlin, 2005
Alternative edition
Springer Nature, Berlin, 2006
Alternative edition
1 edition, December 20, 2005
Alternative edition
Germany, Germany
Alternative edition
Jan 20, 2006
Alternative edition
2002
metadata comments
до 2011-01
metadata comments
lg532729
metadata comments
{"container_title":"Lecture Notes in Economics and Mathematical Systems","edition":"1","isbns":["3540286837","3540286853","9783540286837","9783540286851"],"last_page":188,"publisher":"Springer","series":"Lecture Notes in Economics and Mathematical Systems 566"}
metadata comments
类型: 图书
metadata comments
丛书名: Lecture Notes in Economics and Mathematical Systems
metadata comments
出版日期: 2006
metadata comments
出版社: springer
Alternative description
A treatment of structural credit risk models for simultaneous and consistent pricing of corporate securities. This book takes us from the economic principles of firm value models to the empirical implementation, through the development of an economic framework. It provides exposition of corporate securities pricing for academics and practitioners.
Alternative description
1. Introduction -- 2. The Corporate Securities Framework -- 3. Abm- And Gbm-ebit-models -- 4. Numerical Illustration Of The Abm- And Gbm-model -- 5. Empirical Test Of The Ebit-based Credit Risk Model -- 6. Concluding Remarks -- A. Notes On The Equity Option Valuation. Michael Genser. Includes Bibliographical References.
Alternative description
Lecture Notes in Economics and Mathematical Systems Erscheinungsdatum: 26.10.2005
Filepath:zlib/Business & Economics/Michael Genser/A Structural Framework for the Pricing of Corporate Securities: Economic and Empirical Issues_957185.pdf
Browse collections using their original file paths (particularly 'upload' is interesting)
Repository ID for the 'libgen' repository in Libgen.li. Directly taken from the 'libgen_id' field in the 'files' table. Corresponds to the 'thousands folder' torrents.
Repository ID for the non-fiction ('libgen') repository in Libgen.rs. Directly taken from the 'id' field in the 'updated' table. Corresponds to the 'thousands folder' torrents.
Repository ID for the non-fiction ('libgen') repository in Libgen.rs. Directly taken from the 'id' field in the 'updated' table. Corresponds to the 'thousands folder' torrents.
Repository ID for the non-fiction ('libgen') repository in Libgen.rs. Directly taken from the 'id' field in the 'updated' table. Corresponds to the 'thousands folder' torrents.
Libgen’s own classification system of 'topics' for non-fiction books. Obtained from the 'topic' metadata field, using the 'topics' database table, which seems to have its roots in the Kolxo3 library that Libgen was originally based on. https://web.archive.org/web/20250303231041/https://wiki.mhut.org/content:bibliographic_data says that this field will be deprecated in favor of Dewey Decimal.
Zhizhen Title ID:38502727e7500f26e17dfb0410a76dfa477a5356126a54ae1921b0a3ea255101ff20232bc5d7271339c721e09a6ed719d55388627c1b4c7c196c7dff5da725581443cf9751d9eadd7f6f46b4428234a3
All download options have the same file, and should be safe to use. That said, always be cautious when downloading files from the internet, especially from sites external to Anna’s Archive. For example, be sure to keep your devices updated.
Support authors and libraries
✍️ If you like this and can afford it, consider buying the original, or supporting the authors directly.
📚 If this is available at your local library, consider borrowing it for free there.
📂 File quality
Help out the community by reporting the quality of this file! 🙌
A “file MD5” is a hash that gets computed from the file contents, and is reasonably unique based on that content. All shadow libraries that we have indexed on here primarily use MD5s to identify files.
A file might appear in multiple shadow libraries. For information about the various datasets that we have compiled, see the Datasets page.