This book gives an authoritative overview of the literature on non-stationarity, integration and unit roots, providing direction and guidance. It also provides detailed examples to show how the techniques can be applied in practical situations and...
mehr
This book gives an authoritative overview of the literature on non-stationarity, integration and unit roots, providing direction and guidance. It also provides detailed examples to show how the techniques can be applied in practical situations and the pitfalls to avoid. This book gives an authoritative overview of the literature on non-stationarity, integration and unit roots, providing direction and guidance. It also provides detailed examples to show how the techniques can be applied in practical situations and the pitfalls to avoid
Electronic reproduction; Available via World Wide Web
Cover; Contents; List of Tables; List of Figures; Symbols and Abbreviations; Preface; 1 An Introduction to Probability and Random Variables; 2 Time Series Concepts; 3 Dependence and Related Concepts; 4 Concepts of Convergence; 5 An Introduction to Random Walks; 6 Brownian Motion: Basic Concepts; 7 Brownian Motion: Differentiation and Integration; 8 Some Examples of Unit Root Tests; Appendix: Response functions for DF tests τ and ψ; Glossary; References; Author Index; Subject Index
This book gives an authoritative overview of the literature on non-stationarity, integration and unit roots, providing direction and guidance. It also provides detailed examples to show how the techniques can be applied in practical situations and...
mehr
This book gives an authoritative overview of the literature on non-stationarity, integration and unit roots, providing direction and guidance. It also provides detailed examples to show how the techniques can be applied in practical situations and the pitfalls to avoid. This book gives an authoritative overview of the literature on non-stationarity, integration and unit roots, providing direction and guidance. It also provides detailed examples to show how the techniques can be applied in practical situations and the pitfalls to avoid
Cover; Contents; List of Tables; List of Figures; Symbols and Abbreviations; Preface; 1 An Introduction to Probability and Random Variables; 2 Time Series Concepts; 3 Dependence and Related Concepts; 4 Concepts of Convergence; 5 An Introduction to Random Walks; 6 Brownian Motion: Basic Concepts; 7 Brownian Motion: Differentiation and Integration; 8 Some Examples of Unit Root Tests; Appendix: Response functions for DF tests τ and ψ; Glossary; References; Author Index; Subject Index
Electronic reproduction; Available via World Wide Web