Mastering Risk Modelling: A Practical Guide to Modelling Uncertainty with Excel (Market editions) - Softcover

Day, Alastair

Softcover

ISBN 10: 0273659782 ISBN 13: 9780273659785

Publisher: Financial Times/ Prentice Hall, 2003

Synopsis

Mastering Risk Modelling provides useful tips and methods for developing simple Excel applications. In particular, it discusses model design and how to layer complexity on to basic models. The result is a series of templates and building blocks for the reader to use. Risk is omnipresent in the business world and this book will use similar presenation and show an extension of modelling methods through theory, examples and templates. The result will be a set of tools and methods to apply to Excel to better understand and manage risk.

The Mastering Series

are your practical guides to gaining the knowledge you need to succeed in the financial world. With the very latest practical examples, exercises and templates used throughout for ease of understanding, The Mastering Series covers every aspect of the topic from the basic essential skills you need to perform your job effectively to the more advanced skills to get you to the top. Written by practitioners for practitioners, these books give you just what you need - and nothing more - to succeed in finance. Several of the titles also come with companion CDs to allow you to put the book's ideas into action straightaway.

The Mastering Series: Practical, comprehensive, essential.

About this title

About the Author

Alastair Day is the owner of Systematic Finance Plc, a corporate lessor, advisor and broker. He is an Associate Lecturer at the OUBS on the MBA Corporate Finance Course and also at the management school of the University of Surrey. Alastair is the author of several finance books, including Mastering Financial Modelling and the Finance Director's Guide to Purchasing Leasing.

From the Back Cover

www.pearson-books.com

Edition details

• Publisher: Financial Times/ Prentice Hall
• Publication date: 2003
• Language: English
• ISBN 10: 0273659782
• ISBN 13: 9780273659785
• Binding: Paperback
• Edition number: 1
• Number of pages: 416