Product Description

Liquid markets generate hundreds or thousands of ticks (the minimum change in price a security can have, either up or down) every business day. Data vendors such as Reuters transmit more than 275,000 prices per day for foreign exchange spot rates alone. Thus, high-frequency data can be a fundamental object of study, as traders make decisions by observing high-frequency or tick-by-tick data. Yet most studies published in financial literature deal with low frequency, regularly spaced data. For a variety of reasons, high-frequency data are becoming a way for understanding market microstructure. This book discusses the best mathematical models and tools for dealing with such vast amounts of data.
This book provides a framework for the analysis, modeling, and inference of high frequency financial time series. With particular emphasis on foreign exchange markets, as well as currency, interest rate, and bond futures markets, this unified view of high frequency time series methods investigates the price formation process and concludes by reviewing techniques for constructing systematic trading models for financial assets.

Product Details

• Amazon Sales Rank: #162109 in Books
• Published on: 2001-05-14
• Original language: English
• Number of items: 1
• Binding: Hardcover
• 383 pages

Review
"The authors have shaped the field of high-frequency data in finance; the text provides an excellent summary of their pioneering work."
—Paul Embrechts, Professor of Mathematics, ETH Zurich -- Review

Review
Prepublication Praise:
"The authors have shaped the field of high-frequency data in finance; the text provides an excellent summary of their pioneering work."
--PAUL EMBRECHTS, Professor of Mathematics, ETH Zurich
"An Introduction to High-Frequency Finance by the research team from Olsen & Associates is an amazing presentation of their work over the last decade and a half examining high-frequency, primarily currency, data. The volume includes details of data handling, filtering methods, scaling procedures, volatility models, automatic market making and trading rules that for many years were proprietary information. I highly recommend the book for anyone using tick data."
--ROBERT ENGLE, Department of Finance, Stern School, NYU and Department of Economics, University of California, San Diego
"At long last, the study of financial prices is moving beyond convenient oversimplifications. For providing much of the best data and an indispensable bridge between the financial and academic communities, this flowering is deeply indebted to the group led by Dr. Richard Olsen.
This group and its alumni have also analyzed their own data. That work, which I often quote, has now been collected and extended in a book. I shall wear it out by constant use and it is a delight to recommend it to the emerging rational finance community."
--BENOIT B. MANDELBROT, Sterling Professor of Mathematical Sciences, Yale University

From the Back Cover
"The authors have shaped the field of high-frequency data in finance; the text provides an excellent summary of their pioneering work."
--Paul Embrechts, Professor of Mathematics, ETH Zurich
"An Introduction to High-Frequency Finance by the research team from Olsen & Associates is an amazing presentation of their work over the last decade and a half examining high-frequency, primarily currency, data. The volume includes details of data handling, filtering methods, scaling procedures, volatility models, automatic market making and trading rules that for many years were proprietary information. I highly recommend the book for anyone using high-frequency data."
--Robert Engle, Department of Finance, Stern School, NYU and Department of Economics, University of California, San Diego
"At long last, the study of financial prices is moving beyond convenient oversimplifications. For providing much of the best data and an indispensable bridge between the financial and academic communities, this flowering is deeply indebted to the group led by Dr. Richard Olsen.
This group and its alumni have also analyzed their own data. That work, which I often quote, has now been collected and extended in a book. I shall wear it out by constant use and it is a delight to recommend it to the emerging rational finance community."
--Benoit B. Mandelbrot, Sterling Professor of Mathematical Sciences, Yale University
An Introduction to High-Frequency Finance is the first and only source of unified information about high-frequency data. It provides a framework for the analysis, modeling, and inference of high-frequency financial time series. With particular emphasis on foreign exchange markets, as well as currency, interest rate, and bond futures markets, this unified view of high-frequency time series methods investigates the price formation process and concludes by reviewing techniques for constructing systematic trading models for financial assets.
For further information on this title, please visit our web site: www.academicpress.com/sbe/authors

Customer Reviews

More Than An Introduction
This one of the few books on high frequency finance is a most welcome to the literature. The book is useful not only for people who are new to the subject but also for researchers in the field since it is a most uniform treatment of many topics. From adaptive data cleaning (chapter 4) to intraday and weekly seasonality (chapter 6) and real time trading models (chapter 11), it covers a broad range of topics specific to high frequency financial time series analysis. Chapters on volatility modeling (Chapter 8), forecasting (chapter 9) and correlation and multivariate risk (chapter 10) are enlightening especially for risk exposure analysis and risk management purposes. Finally, the the extensive bibliography is a precious source for those who would like to explore certain topics in detail. I highly recommend it for practitioners as well as researchers in the field.

From the experts in the field
Michel Dacorogna and the team at the former Olsen & Associates are well-known experts in the field of foreign exchange rate data analysis, and their book provides us with a vast, useful source of information. Unfortunately for students and other beginners, the book is written like a compilation of papers and review articles, the opposite of pedagogical, and with an awful choice of 'computerese' notation (MA(t,n)=sum(EMA(t',k)... etc) that makes Boudhaud-Potters look easy in comparison. More to the point, even their noncomputerese notation is difficult to follow. I hope for a very different second edition written pedagogically for students of this growing and important field. On the positive side, data analyses are performed using logarithmic returns, not price increments. Workers in the field who consult this text will find it helpful.

modelling financial instruments
The book gives an indepth statistical modelling of important financial events, that have time dependency. It is suitable for the financial analyst who wants a semi-empirical approach.

For some quantities, like foreign exchange data, there is a comparison between fully empirical results and various theoretical models. What is investigated are such behaviours like scaling laws, for the absolute returns as a function of frequency. Here, it has been empirically observed that scalings do exist for FX rates.

Whenever possible, the book gives rigorous results, often encapsulated in theorems relating to distributions of independently distributed random variables. The reader should have a background in statistics, with the equivalent of several years of undergraduate courses.