The material covered in the book includes concepts of linear regression, univariate and multivariate time series modelling and their implementation in EViews. Chapter 1 briefly introduces commands, structure and programming language of the EViews package. Chapter 2 provides an overview of the regression analysis and its inference. Chapters 3 to 5 cover some topics of univariate time series analysis including linear models, GARCH models of volatility, unit root tests. Chapter 6 introduces modelling of multivariate time series.
This is a complete revision of a classic, seminal, and authoritative book that has been the model for most books on the topic written since 1970. It focuses on practical techniques throughout, rather than a rigorous mathematical treatment of the subject. It explores the building of stochastic (statistical) models for time series and their use in important areas of application —forecasting, model specification, estimation, and checking, transfer function modeling of dynamic relationships, modeling the effects of intervention events, and process control.
The treatment in Analysis of Equity Investments: Valuation is intended to communicate a practical equity valuation process for the investment generalist. Unlike many alternative works, the book integrates accounting and finance concepts, providing the evenness of subject matter treatment, consistency of notation, and continuity of topic coverage so critical to the learning process.
An update of a classic book in the field, Modern Portfolio Theory examines the characteristics and analysis of individual securities as well as the theory and practice of optimally combining securities into portfolios. It stresses the economic intuition behind the subject matter while presenting advanced concepts of investment analysis and portfolio management. Readers will also discover the strengths and weaknesses of modern portfolio theory as well as the latest breakthroughs.
Business Analysis and Valuation: Using Financial Statements, Text and Cases
Financial Statements are the basis for a wide range of business analysis. There is strong demand among business students for course materials that provide a framework for using financial statement data in a variety of business analysis and valuation contexts.
