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Applied Quantitative Methods for Trading and InvestmentFrom Wiley
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This much-needed book, from a selection of top international experts, fills a gap by providing a manual of applied quantitative financial analysis. It focuses on advanced empirical methods for modelling financial markets in the context of practical financial applications.
Data, software and techniques specifically aligned to trading and investment will enable the reader to implement and interpret quantitative methodologies covering various models.
The unusually wide-ranging methodologies include not only the 'traditional' financial econometrics but also technical analysis systems and many nonparametric tools from the fields of data mining and artificial intelligence. However, for those readers wishing to skip the more theoretical developments, the practical application of even the most advanced techniques is made as accessible as possible.
The book will be read by quantitative analysts and traders, fund managers, risk managers; graduate students in finance and MBA courses.
- Sales Rank: #1335746 in Books
- Published on: 2003-10-24
- Original language: English
- Number of items: 1
- Dimensions: 9.92" h x 1.21" w x 6.95" l, 1.98 pounds
- Binding: Hardcover
- 426 pages
From the Back Cover
This much-needed book, from a selection of top international experts, fills a gap by providing a manual of applied quantitative financial analysis. It focuses on advanced empirical methods for modelling financial markets in the context of practical financial applications.
Data, software and techniques specifically aligned to trading and investment will enable the reader to implement and interpret quantitative methodologies covering various models.
The unusually wide-ranging methodologies include not only the 'traditional' financial econometrics but also technical analysis systems and many nonparametric tools from the fields of data mining and artificial intelligence. However, for those readers wishing to skip the more theoretical developments, the practical application of even the most advanced techniques is made as accessible as possible.
The book will be read by quantitative analysts and traders, fund managers, risk managers; graduate students in finance and MBA courses.
About the Author
CHRISTIAN L. DUNIS is Girobank Professor of Banking and Finance at Liverpool Business School, and Director of its Centre for International Banking, Economics and Finance (CIBEF). He is also a consultant to asset management firms, a Visiting Professor of International Finance at Venice International University and an Official Reviewer attached to the European Commission for the evaluation of applications to finance of emerging software technologies. He is an Editor of the European Journal of Finance, and has widely published in the field of financial markets analysis and forecasting. He has organised the Forecasting Financial Markets Conference since 1994.
JASON LAWS is a Lecturer in International Banking and Finance at Liverpool John Moores University. He is also the Course Director for the M.Sc. in International Banking, Economics and Finance at Liverpool Business School. He has taught extensively in the area of investment theory and derivative securities at all levels, both in the UK and in Asia. Jason is also an active member of CIBEF, and has published in a number of academic journals. His research interests are focussed on volatility modelling and the implementation of trading strategies.
PATRICK NAÏM is an engineer of the École Centrale de Paris. He is the founder and chairman of Elseware, a company specialising in the application of nonlinear methods to financial management problems. He is currently working for some of the largest French institutions and co-ordinating research projects in the field at European level.
Most helpful customer reviews
22 of 22 people found the following review helpful.
Provocative and fun text on the cutting edge, not an introductionn
By J.F.
Whereas most books on quantitative finance focus on how to price derivatives or model interest rates, this is a text on quantitative and computational methods that are about making money.
How to we forecast future prices? What is the place for artificial intelligence and neural networks? How are people using Bayesian methods and neural regressions? How can technical analysis and trend-following rules contribute to quantitative trading systems? How can new volatility and correlation models be applied (in Excel) to portfolio optimization?
These questions are answered by practitioners and academics with case studies and real-world applications. Each chapter provides a quick taste of things people are doing outside the box of your typical quant finance books. Do not expect a new philosophy or over-arching theory. This is just a book to prod half-baked ideas that might merit more consideration or to re-start one's own creative juices.
15 of 15 people found the following review helpful.
Supplement SW No Longer Supported - Not worth buying anymore
By Carl M. Rakes
This may have been a good book in its day. The chapters explain difficult concepts using supplemental software to walk you through the examples. The problem is, the software no longer comes with the book. And the SW that Wiley has on its website for downloading is no longer supported. Here is the message that Wiley gave me after I reported the SW failed to install:
"As a print on demand title, this book was placed in such status due to its low interest level and age, a status usually just preceding going out of print.
Unfortunately, the associated materials are from the late 90s through 2001 or 2002 and they have not been updated in some time.
The fact that the book is in the status it is in is because, per editorial, the title will not be receiving any updates and the use of the materials online is as is.
There does not appear to be a fix for the license error since this third party program has not had the included license updated for some years and will not be updated going forward. We are unfortunately unable to get the software running on your computer as there is no way for us to have the original developers update the system."
If you like to read about examples using a software package that is no longer available, then go ahead an order this. Otherwise, save the money and put it in the piggy bank for a matlab license.
16 of 20 people found the following review helpful.
For traders with very strong statistics and programming background
By ServantofGod
Unless you already are in the trade or you want to write your own trading programmes, please give this a pass. This quantitative analysis based book is definitely beyond those without very strong statistics and programming capabilities. Sorry to tell you that as an MBA, CFA pro trader, I could grasp at most 30% of the modeling techniques described. Certainly the CDROM bundled did help. However, I doubt how many readers would have that patience and resource to collect and input the data needed.
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