DescriptionThis 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.
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).
"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)