Description

Book Synopsis
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 e

Table of Contents

Preface ix

Acknowledgments xi

About the Authors xiii

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

Introductory Mathematics and Statistics for

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    A Paperback / softback by Abbas Mirakhor, Noureddine Krichene

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      View other formats and editions of Introductory Mathematics and Statistics for by Abbas Mirakhor

      Publisher: John Wiley & Sons Inc
      Publication Date: Publication Date: 19/08/2014
      ISBN13: 9781118779699, 978-1118779699
      ISBN10: 111877969X

      Description

      Book Synopsis
      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 e

      Table of Contents

      Preface ix

      Acknowledgments xi

      About the Authors xiii

      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

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