Analysis of Financial Data teaches the basic methods and techniques of data analysis to finance students, by showing them how to apply such techniques in the context of real-world empirical problems.
Adopting a largely non-mathematical approach Analysis of Financial Data relies more on verbal intuition and graphical methods for understanding.
Key features include:
- Coverage of many of the major tools used by the financial economist e.g. correlation, regression, time series analysis and methods for analyzing financial volatility.
- Extensive use of real data examples, which involves readers in hands-on computer work.
- Mathematical techniques at a level suited to MBA students and undergraduates taking a first course in the topic.
Supplementary material for readers and lecturers provided on an accompanying website.
Preface. Chapter 1: Introduction.
Organization of the book.
Useful background.
Appendix 1.1: Concepts in mathematics used in this book.
Chapter 2: Basic data handling.
Types of financial data.
Obtaining data.
Working with data: graphical methods.
Working with data: descriptive statistics.
Expected values and variances.
Chapter summary.
Appendix 2.1: Index numbers.
Appendix 2.2: Advanced descriptive statistics.
Chapter 3: Correlation.
Understanding correlation.
Understanding why variables are correlated.
Understanding correlation through XY-plots.l6
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