# Introductory Mathematics and Statistics for Islamic Finance, + Website

ISBN: 978-1-118-77971-2

Sep 2015

256 pages

Select type: Online Book

## Description

A unique primer on quantitative methods as applied to Islamic finance

Introductory Mathematics and Statistics for Islamic Finance + Website is a comprehensive guide to quantitative methods, specifically as applied within the realm of Islamic finance. With applications based on research, the book provides readers with the working knowledge of math and statistics required to understand Islamic finance theory and practice. The numerous worked examples give students with various backgrounds a uniform set of common tools for studying Islamic finance.

The in-depth study of finance requires a strong foundation in quantitative methods. Without a good grasp of math, probability, and statistics, published theoretical and applied works in Islamic finance remain out of reach. Unlike a typical math text, this book guides students through only the methods that directly apply to Islamic finance, without wasting time on irrelevant techniques. Each chapter contains a detailed explanation of the topic at hand, followed by an example based on real situations encountered in Islamic finance. Topics include:

• Algebra and matrices
• Calculus and differential equations
• Probability theory
• Statistics

Written by leading experts on the subject, the book serves as a useful primer on the analysis methods and techniques students will encounter in published research, as well as day-to-day operations in finance. Anyone aspiring to be successful in Islamic finance needs these skills, and Introductory Mathematics and Statistics for Islamic Finance + Website is a clear, concise, and highly relevant guide.

## Related Resources

### Instructor

Request an Evaluation Copy for this title

### Student

View Student Companion Site

Preface ix

Acknowledgments xi

PART ONE Mathematics

CHAPTER 1 Elementary Mathematics 3

CHAPTER 2 Functions and Models 25

CHAPTER 3 Differentiation and Integration of Functions 41

CHAPTER 4 Partial Derivatives 61

CHAPTER 5 Logarithm, Exponential, and Trigonometric Functions 77

CHAPTER 6 Linear Algebra 91

CHAPTER 7 Differential Equations 117

CHAPTER 8 Difference Equations 141

CHAPTER 9 Optimization Theory 167

CHAPTER 10 Linear Programming 195

PART TWO Statistics

CHAPTER 11 Introduction to Probability Theory: Axioms and Distributions 227

CHAPTER 12 Probability Distributions and Moment Generating Functions 251

CHAPTER 13 Sampling and Hypothesis Testing Theory 271

CHAPTER 14 Regression Analysis 301

CHAPTER 15 Time Series Analysis 327

CHAPTER 16 Nonstationary Time Series and Unit-Root Testing 355

CHAPTER 17 Vector Autoregressive Analysis (VAR) 369

CHAPTER 18 Co-Integration: Theory and Applications 381

CHAPTER 19 Modeling Volatility: ARCH-GARCH Models 397

CHAPTER 20 Asset Pricing under Uncertainty 413

CHAPTER 21 The Consumption-Based Pricing Model 439

CHAPTER 22 Brownian Motion, Risk-Neutral Processes, and the Black-Scholes Model 451

References 473

Index 475