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Introductory Econometrics for Finance

by Chris Brooks
Cambridge University Press, 2002

List Price $50.00, Estima's Price $37.00 (Paperback)

From the publisher’s description:

The first textbook to teach introductory econometrics to finance majors. The text is data- and problem-driven, giving students the skills to estimate and interpret models, whilst having an intuitive grasp of the underlying theoretical concepts. Its easy-to-follow style and numerous examples and case studies make this the most accessible book in this area, and the best starting-point for non-specialists.

The text incorporates sample instructions and output from WinRATS so that readers can understand right away how to implement the techniques in practice. The approach is based on successful courses taught by Dr. Brooks at the ICMA centre, one of Europe’s leading finance schools, ensuring that the text focuses squarely on the needs of students of finance, including advice on planning and executing a project in empirical finance.

The book assumes no prior knowledge of econometrics, and covers important modern topics such as time-series forecasting, volatility modelling, switching models and simulation methods. It includes detailed examples and case studies, and web-based supporting materials are available free of charge.

Contents

  1. Introduction
  2. Econometric packages for modelling financial data
  3. A brief overview of the classical linear regression model
  4. Further issues with the classical linear regression model
  5. Univariate time series modelling and forecasting
  6. Multivariate modelling
  7. Modelling long-run relationships in finance
  8. Modelling volatility and correlation
  9. Modelling regime shifts
  10. Simulation methods
  11. Conducting empirical research in finance
  12. Conclusions: recent and future developments in the modelling of financial time series

Plus: References; Appendix: review of matrix algebra, calculus and probability theory; Statistical tables.


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This file was last modified on 03/06/08