Financial Surveillance

ISBN-13: 9780470061886 / Angielski / Twarda / 2008 / 272 str.

Opis

This is the first book-length treatment of statistical surveillance methods used in financial analysis. It contains carefully selected chapters written by specialists from both fields and strikes a balance between the financial and statistical worlds, enhancing future collaborations between the two areas, and enabling more successful prediction of financial market trends. The book discusses, in detail, schemes for different control charts and different linear and nonlinear time series models and applies methods to real data from worldwide markets, as well as including simulation studies.

Recenzje

" Financial Surveillance is idea for readers from either statistics or finance wanting to learn more about the other discipline. It also makes essential readiner for advanced level students in statistics, economics and finance." ( Mathematical Reviews, Issue 2009a)

"Financial Surveillance is idea for readers from either statistics or finance wanting to learn more about the other discipline.  It also makes essential readiner for advanced level students in statistics, economics and finance." (Mathematical Reviews Issue 2009a)

"A very good introduction to the problems and statistical methods for financial surveillance. I shall certainly recommend it to my students." (International Statistical Review, August 2008)

"The book does provide a very good introduction to the problems and statistical methods for financial surveillance. I shall certainly recommend it to my students." (International Statistical Review, August 2008)

Spis treści

List of Contributors .

1. Introduction to financial surveillance (Marianne Frisén).

2. Statistical models in finance (Helgi Tómasson).

3. The relation between statistical surveillance and technical analysis.

in finance (David Bock, Eva Andersson and Marianne Frisén).

4. Evaluations of likelihood–based surveillance of volatility (David Bock).

5. Surveillance of univariate and multivariate linear time series (Y. Okhrin and W.Schmid).

6. Surveillance of univariate and multivariate nonlinear time series (Y. Okhrin and W. Schmid).

7. Sequential monitoring of optimal portfolio weights (Vasyl. Golosnoy, Wolfgang Schmid and Iryna. Okhrin).

8. Likelihood–based surveillance for continuous–time processes (Helgi T?omasson).

9 Conclusions and future directions (Marianne Frisén).

Bibliography. 

Index.

O autorze

Marianne Frisen – Statistical Research Unit, Goteborg University. Professor Frisén has worked in the area of surveillance for over 25 years. In that time she has organized symposiums on financial surveillance, written numerous publications on surveillance (including financial surveillance), and written two chapters in the Wiley published Spatial and Syndromic Surveillance for Public Health.

Blurb

Statistical surveillance is used to repeatedly evaluate the amount of information contained within a system of continuously achieved observations. This makes it possible to quickly and safely detect changes in the way time series evolve through time. Applied to economic and financial markets, this allow the optimal time for decisions to be determined, such as the most beneficial trading time.

Financial Surveillance examines the relationship between Statistical surveillance and financial analysis. Introducing both cultures, the book provides an overview of Statistical methods used in finance. the reader is then guided through more advanced topics, from likelihood–based surveillance of volatility, to sequential monitoring of optimal portfolio weights.

The book:

• Comprehensively covers the use of Statistical surveillance in financial analysis, enabling readers to successfully adjust to changes in financial market trends.
• Examines financial trading rules for timely decisions.
• Details schemes for different univariate and multivariate control charts.
• Provides information on different linear and nonlinear time series models, such as GARCH processes, and their applications, including modelling asset returns and exchange rates.
• Discusses the modern use of electronic trading in financial markets and data collection, as well as future directions for the subject.
• Applies methods to real data from worldwide markets, as well as illustrative simulation studies.
• Is accompanied by a website with additional updated information.

This is the first book–length treatment of statistical surveillance methods used in financial analysis. It contains selected chapters written by specialists on different topics. Financial Surveillance is ideal for readers from either Statistics or finance wanting to learn more about the other discipline. It also makes essential reading for advanced level students in statistics, economics and finance.

Statistics in Practice
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