This book is a review of the analytical methods required in most of the quantitative courses taught at MBA programs. Students with no technical background, or who have not studied mathematics since college or even earlier, may easily feel overwhelmed by the mathematical formalism that is typical of economics and finance courses. These students will benefit from a concise and focused review of the analytical tools that will become a necessary skill in their MBA classes. The objective of this book is to present the essential quantitative concepts and methods in a self-contained, non-technical, and intuitive way.

Auteur

REGINA TREVINO is Assistant Professor of Economics in the School of Business Administration at Loyola University Chicago, USA.

Contenu
Preface Acknowledgments Mathematical Symbols and Abbreviations PART I: BUSINESS MATH: FUNCTIONS AND GRAPHS Functions Graphing Functions Equations Linear Functions Absolute Value Slopes and Intercepts of Linear Functions Solving Two-Variable Systems of Linear Equations Properties of Functions Exponents Changes and Growth Rates Index Numbers PART II: BUSINESS MATH: OPTIMIZATION Nonlinear Functions The Concept of a Derivative Graphical Interpretation of Derivatives Additional Topics on Derivatives Second Derivatives Partial Derivatives Optimization Measuring Areas under Linear Functions Economic Models Comparative Statistics Analysis PART III: STATISTICAL ANALYSIS PRIMER Elements of Statistics Sigma Notation Measures of Central Tendency Frequency Tables and Histograms Measures of Variability Measures of Association Probability Essentials Discrete Random Variables Continuous Random Variables An Introduction to Estimation Regression Analysis Hypothesis Testing PART IV: MATHEMATICS OF FINANCE Time Value of Money Real and Nominal Rates of Interest Compound Interest Annuities Perpetuities Net Present Value Bonds Common Stocks Portfolio Theory Primer List of Rules Answers to Practice Exercises References Index