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中文名为《金融计量经济学导论》,此为2008年最新出版的第二版, 应该都知道的很好的金融计量方面的入门教材
【书名】Introductory Econometrics for Finance 【作者】Chris Brook 【出版社】Cambridge University Press 【版本】2nd Edition 【出版日期】2008 【文件格式】PDF 【文件大锌5.76MB 【页数】672 【ISBN出版号】978052169468 【资料类别】计量金融学 【市面定价】 【扫描版还是影印版】影印版 【是否缺页】否 【关键词】Econometrics for Finance 【内容简介】 This best-selling textbook addresses the need for an introduction to econometrics specifically written for finance students. Key features: • Thoroughly revised and updated, including two new chapters on panel data and limited dependent variable models • Problem-solving approach assumes no prior knowledge of econometrics emphasising intuition rather than formulae, giving students the skills and confidence to estimate and interpret models • Detailed examples and case studies from finance show students how techniques are applied in real research • Sample instructions and output from the popular computer package EViews enable students to implement models themselves and understand how to interpret results • Gives advice on planning and executing a project in empirical finance, preparing students for using econometrics in practice • Covers important modern topics such as time-series forecasting, volatility modelling, switching models and simulation methods • Thoroughly class-tested in leading finance schools 【目录】 List of figures; List of tables; List of boxes; List of screenshots; Preface to the second edition; Acknowledgements; 1. Introduction; 2. The classical linear regression model; 3. Further development and analysis of the classical linear regression model; 4. Classical linear regression model assumptions and diagnostic tests; 5. Univariate time series modelling and forecasting; 6. Multivariate models; 7. Modelling long-run relationships in finance; 8. Modelling volatility and correlation; 9. Switching models; 10. Panel data; 11. Limited dependent variable models; 12. Simulation methods; 13. Empirical research and doing a project or dissertation; 14. Recent and future developments; Appendix 1: A review of some fundamental mathematical and statistical concepts; Appendix 2: Tables of statistical distributions; Appendix 3: Sources of data used in this book; Index |
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