Readings in Certified Quantitative Risk Management (CQRM)

Readings in Certified Quantitative Risk Management (CQRM)
Author :
Publisher :
Total Pages : 736
Release :
ISBN-10 : 1513602268
ISBN-13 : 9781513602264
Rating : 4/5 (264 Downloads)

Book Synopsis Readings in Certified Quantitative Risk Management (CQRM) by : Johnathan Mun

Download or read book Readings in Certified Quantitative Risk Management (CQRM) written by Johnathan Mun and published by . This book was released on 2015 with total page 736 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Readings in Certified Quantitative Risk Management (CQRM) Related Books

Readings in Certified Quantitative Risk Management (CQRM)
Language: en
Pages: 736
Authors: Johnathan Mun
Categories:
Type: BOOK - Published: 2015 - Publisher:

GET EBOOK

Readings in Certified Quantitative Risk Management (CQRM)
Language: en
Pages: 736
Authors: Johnathan C. Mun
Categories: Certified Quantitative Risk Management
Type: BOOK - Published: 2015-07-04 - Publisher: Createspace Independent Publishing Platform

GET EBOOK

Readings in Certified Quantitative Risk Management (CQRM) with advanced analytics applications in Applying Monte Carlo Risk Simulation, Strategic Real Options,
Certified Quantitative Risk Management
Language: en
Pages: 272
Authors: Johnathan Mun
Categories:
Type: BOOK - Published: 2015-07-18 - Publisher: Createspace Independent Publishing Platform

GET EBOOK

Lecture Slides for CQRM 2015
Credit Engineering for Bankers
Language: en
Pages: 557
Authors: Morton Glantz
Categories: Business & Economics
Type: BOOK - Published: 2010-11-25 - Publisher: Academic Press

GET EBOOK

More efficient credit portfolio engineering can increase the decision-making power of bankers and boost the market value of their banks. By implementing robust
Modeling Risk
Language: en
Pages: 626
Authors: Johnathan Mun
Categories: Business & Economics
Type: BOOK - Published: 2006-07-21 - Publisher: John Wiley & Sons

GET EBOOK

This completely revised and updated edition of Applied Risk Analysis includes new case studies in modeling risk and uncertainty as well as a new risk analysis C