​Terence C. Mills is Emeritus Professor of Applied Statistics and Econometrics at Loughborough University, UK, where he was previously Head of the department of Economics. He previously held professorial appointments at City University business school and Hull. He is the author of Time Series Techniques for Economists and The Econometric Modelling of Financial Time Series, plus over one hundred articles in journals and books.

• 1 Introduction.- 2 ‘Classical’ Techniques of Modelling Trends and Cycles.- 3 Stochastic Trends and Cycles.- 4 Filtering Economic Time Series.- 5 Nonlinear and Nonparametric Trend and Cycle Modelling.- 6 Multivariate Modelling of Trends and Cycles.- 7 Conclusions.

​Terence C. Mills is Emeritus Professor of Applied Statistics and Econometrics at Loughborough University, UK, where he was previously Head of the department of Economics. He previously held professorial appointments at City University business school and Hull. He is the author of Time Series Techniques for Economists and The Econometric Modelling of Financial Time Series, plus over one hundred articles in journals and books.

• 1 Introduction.- 2 ‘Classical’ Techniques of Modelling Trends and Cycles.- 3 Stochastic Trends and Cycles.- 4 Filtering Economic Time Series.- 5 Nonlinear and Nonparametric Trend and Cycle Modelling.- 6 Multivariate Modelling of Trends and Cycles.- 7 Conclusions.

​Terence C. Mills is Emeritus Professor of Applied Statistics and Econometrics at Loughborough University, UK, where he was previously Head of the department of Economics. He previously held professorial appointments at City University business school and Hull. He is the author of Time Series Techniques for Economists and The Econometric Modelling of Financial Time Series, plus over one hundred articles in journals and books.

• 1 Introduction.- 2 ‘Classical’ Techniques of Modelling Trends and Cycles.- 3 Stochastic Trends and Cycles.- 4 Filtering Economic Time Series.- 5 Nonlinear and Nonparametric Trend and Cycle Modelling.- 6 Multivariate Modelling of Trends and Cycles.- 7 Conclusions.