# Signal Extraction

## Efficient Estimation, ‘Unit Root'-Tests and Early Detection of Turning Points

Book

Part of the Lecture Notes in Economics and Mathematical Systems book series (LNE, volume 547)

1. Front Matter
Pages I-XI
2. ### Theory

1. Pages 3-16
2. Pages 17-44
3. Pages 45-63
4. Pages 65-90
5. Pages 91-146
6. Pages 147-164
3. ### Empirical Results

1. Pages 167-211
2. Pages 213-224
3. Pages 225-227
4. Back Matter
Pages 229-280

### Introduction

The material contained in this book originated in interrogations about modern practice in time series analysis. • Why do we use models optimized with respect to one-step ahead foreca- ing performances for applications involving multi-step ahead forecasts? • Why do we infer 'long-term' properties (unit-roots) of an unknown process from statistics essentially based on short-term one-step ahead forecasting performances of particular time series models? • Are we able to detect turning-points of trend components earlier than with traditional signal extraction procedures? The link between 'signal extraction' and the first two questions above is not immediate at first sight. Signal extraction problems are often solved by su- ably designed symmetric filters. Towards the boundaries (t = 1 or t = N) of a time series a particular symmetric filter must be approximated by asymm- ric filters. The time series literature proposes an intuitively straightforward solution for solving this problem: • Stretch the observed time series by forecasts generated by a model. • Apply the symmetric filter to the extended time series. This approach is called 'model-based'. Obviously, the forecast-horizon grows with the length of the symmetric filter. Model-identification and estimation of unknown parameters are then related to the above first two questions. One may further ask, if this approximation problem and the way it is solved by model-based approaches are important topics for practical purposes? Consider some 'prominent' estimation problems: • The determination of the seasonally adjusted actual unemployment rate.

### Keywords

Asymmetric Filters Efficient Estimation Forecasting Signal Extraction Turning Points Unit Roots

#### Authors and affiliations

1. 1.Institute for Data Analysis and Processdesign (IDP)WinterthurSwitzerland

### Bibliographic information

• Book Title Signal Extraction
• Book Subtitle Efficient Estimation, ‘Unit Root'-Tests and Early Detection of Turning Points
• Authors Marc Wildi
• Series Title Lecture Notes in Economics and Mathematical Systems
• DOI https://doi.org/10.1007/b138291
• Copyright Information Springer-Verlag Berlin Heidelberg 2005
• Publisher Name Springer, Berlin, Heidelberg
• eBook Packages Mathematics and Statistics Mathematics and Statistics (R0)
• Softcover ISBN 978-3-540-22935-3
• eBook ISBN 978-3-540-26916-8
• Series ISSN 0075-8442
• Edition Number 1
• Number of Pages XII, 279
• Number of Illustrations 0 b/w illustrations, 0 illustrations in colour
• Topics
• Buy this book on publisher's site
Industry Sectors
Biotechnology
Engineering