Have one to sell? Sell yours here
Forecasting Volatility in the Financial  Markets (Quantitative Finance)
 
See larger image
 
Tell the Publisher!
I'd like to read this book on Kindle

Don't have a Kindle? Get your Kindle here, or download a FREE Kindle Reading App.

Forecasting Volatility in the Financial Markets (Quantitative Finance) [Hardcover]

John Knight (Author), Stephen Satchell (Editor)


Available from these sellers.


Textbook Student FREE Two-Day Shipping for Students. Learn more

There is a newer edition of this item:
Forecasting Volatility in the Financial Markets, Third Edition (Quantitative Finance) Forecasting Volatility in the Financial Markets, Third Edition (Quantitative Finance) 4.0 out of 5 stars (2)
$93.46
In Stock.

Book Description

0750640812 978-0750640817 July 13, 1999
* How to understand, model and forecast volatility * Applications in investment management, trading strategies and financial engineering * Current research on the key forecasting methods to use in risk management *

With contributions from leading academics and professional experts, this book is required reading for anyone who needs to understand the significance and impact of volatility in the financial markets.

The book assumes that you have a firm grounding in the key principles and methods of understanding volatility measurement and builds on that knowledge to detail cutting edge modelling and forecasting techniques. It then uses a technical survey to define the different models of volatility and return and explain the different ways to measure risk. The book continues with detail on applications in Financial markets.

* If you're an Investment manager you'll find out how to judge your rebalancing decisions in Global Tactical Asset Allocation. If you're a trader you'll learn how to profit by modifying your strategies to account for volatility and identify arbitrage opportunities. If you're a risk manager you'll understand how to measure volatility for Value At Risk and other risk management techniques. Derivatives specialists will be able to use the insights from this book to further understand and improve their pricing models.






· How to understand, model and forecast volatility

· Applications in investment management, trading strategies and financial engineering

Editorial Reviews

About the Author

Stephen Satchell is a Fellow of Trinity College, the Reader in Financial Econometrics at the University of Cambridge and Visiting Professor at Birkbeck College, City University Business School and University of Technology, Sydney. He provides consultancy for a range of city institutions in the broad area of quantitative finance. He has published papers in many journals and has a particular interest in risk.


Product Details

  • Hardcover: 224 pages
  • Publisher: Butterworth-Heinemann (July 13, 1999)
  • Language: English
  • ISBN-10: 0750640812
  • ISBN-13: 978-0750640817
  • Product Dimensions: 9.5 x 6.4 x 1 inches
  • Shipping Weight: 1.5 pounds
  • Amazon Best Sellers Rank: #10,189,779 in Books (See Top 100 in Books)

Customer Reviews


There are no customer reviews yet.
Video reviews
Video reviews
Amazon now allows customers to upload product video reviews. Use a webcam or video camera to record and upload reviews to Amazon.



Tag this product

 (What's this?)
Think of a tag as a keyword or label you consider is strongly related to this product.
Tags will help all customers organize and find favorite items.
Your tags: Add your first tag
 

Sell a Digital Version of This Book in the Kindle Store

If you are a publisher or author and hold the digital rights to a book, you can sell a digital version of it in our Kindle Store. Learn more

Customer Discussions

This product's forum
Discussion Replies Latest Post
No discussions yet

Ask questions, Share opinions, Gain insight
Start a new discussion
Topic:
First post:
Prompts for sign-in
 


Active discussions in related forums
Search Customer Discussions
Search all Amazon discussions
   
Related forums


Listmania!


Create a Listmania! list

So You'd Like to...


Create a guide


Look for Similar Items by Category


Look for Similar Items by Subject