...EViews Workshop Program: MSc in Finance 2011-2012 Instructor: Dimitris Tsouknidis, MSc, MBA, PhD Email: dtsouknidis@gmail.com Course Description • Workshop 1 – Introduction, Regression Analysis, Multiple Regression Analysis • Workshop 2 – Issues with the Classical Linear Regression Model and Univariate Time-series Modeling in Finance • Workshop 3 – Multivariate Time-Series Modeling in Finance and Modeling Long-run Relationships in Finance MSc Finance - EViews Workshop 1 - 2012 2 Workshop 1 Introduction, Classical Linear Regression Analysis and Multiple Regression Analysis 19 January 2012 Agenda • • • • • • • Introduction to EViews Importing Data Loading and Saving Datasets Graphical and Statistical Analysis Regression Analysis Multiple Linear Regressions Case Studies – January Effect MSc Finance - EViews Workshop 1 - 2012 4 Introduction • EViews is a menu-driven econometric software. • Open EViews requires: – Start/All Programs/EViews 7 • EViews organizes data, graphs, output, etc. as objects. • Each of these objects can be copied, saved and/or cut-andpasted. • EViews is not case sensitive e.g. INDEX = index. • EViews is producing workfiles (.wf1). • You can import data from Microsoft Excel (.xls) and create workfiles (.wf1). MSc Finance - EViews Workshop 1 - 2012 5 Creating a Workfile • Click: File/New/Workfile. • You can select the type of your workfile (Dated – regular frequency, Balanced panel, Unstructured/Undated ), the frequency...
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...This page intentionally left blank Introductory Econometrics for Finance SECOND EDITION This best-selling textbook addresses the need for an introduction to econometrics specifically written for finance students. It includes examples and case studies which finance students will recognise and relate to. This new edition builds on the successful data- and problem-driven approach of the first edition, giving students the skills to estimate and interpret models while developing an intuitive grasp of underlying theoretical concepts. 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 Chris Brooks is Professor of Finance at the ICMA Centre, University...
Words: 195008 - Pages: 781
...This page intentionally left blank Introductory Econometrics for Finance SECOND EDITION This best-selling textbook addresses the need for an introduction to econometrics specifically written for finance students. It includes examples and case studies which finance students will recognise and relate to. This new edition builds on the successful data- and problem-driven approach of the first edition, giving students the skills to estimate and interpret models while developing an intuitive grasp of underlying theoretical concepts. 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 Chris Brooks is Professor of Finance...
Words: 195008 - Pages: 781