Mathematics for Economics and Finance

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Transcription:

Mathematics for Economics and Finance Michael Harrison and Patrick Waldron B 375482 Routledge Taylor & Francis Croup LONDON AND NEW YORK

Contents List of figures ix List of tables xi Foreword xiii Preface xv Acknowledgements xvii List of abbreviations xviii Notation and preliminaries xix Part I MATHEMATICS Introduction 3 1 Systems of linear equations and matrices 5 1.1 Introduction 5 1.2 Linear equations and examples 5 1.3 Matrix operations 11 1.4 Rules of matrix algebra 14 1.5 Some special types of matrix and associated rules 15 2 Determinants 30 2.1 Introduction 30 2.2 Preliminaries 30 2.3 Definition and properties 31 2.4 Co-factor expansions of determinants 34 2.5 Solution of systems of equations 39 3 Eigenvalues and eigenvectors 53 3.1 Introduction 53 3.2 Definitions and illustration 53 3.3 Computation 54 3.4 Unit eigenvalues 58 3.5 Similar matrices 59 3.6 Diagonalization 59

vi Contents 4 Conic sections, quadratic forms and definite matrices 71 4.1 Introduction 71 4.2 Conic sections 71 4.3 Quadratic forms 76 4.4 Definite matrices 77 5 Vectors and vector spaces 88 f 5.7 Introduction 88 5.2 Vectors in 2-space and 3-space 88 5.3 n-dimensional Euclidean vector spaces 100 5.4 General vector spaces 101 6 Linear transformations 128 6.1 Introduction 128 6.2 Definitions and illustrations 128 6.3 Properties of linear transformations 131 6.4 Linear transformations from W to W" 137 6.5 Matrices of linear transformations 138 7 Foundations for vector calculus 143 7.1 Introduction 143 7.2 Affine combinations, sets, hulls and functions 143 7.3 Convex combinations, sets, hulls and functions 146 7.4 Subsets of n-dimensional spaces 148 7.5 Basic topology 154 7.6 Supporting and separating hyperplane theorems 157 7.7 Visualizing functions of several variables 158 7.8 Limits and continuity 159 7.9 Fundamental theorem of calculus 162 8 Difference equations 167 8.1 Introduction 167 8.2 Definitions and classifications 167 8.3 Linear, first-order difference equations 172 8.4 Linear, autonomous, higher-order difference equations 181 8.5 Systems of linear difference equations 189 9 Vector calculus 202 9.1 Introduction 202 9.2 Partial and total derivatives 202 9.3 Chain rule and product rule 207 9.4 Elasticities 211 9.5 Directional derivatives and tangent hyperplanes 213 9.6 Taylor's theorem: deterministic version 217 9.7 Multiple integration 224 9.8 Implicit function theorem 236

Contents vii 10 Convexity and optimization 244 10.1 Introduction 244 10.2 Convexity and.concavity 244 10.3 Unconstrained optimization 257 10.4 Equality-constrained optimization 261 10.5 Inequality-constrained optimization 270 10.6 Duality 278 Part II APPLICATIONS ~ " v Introduction 287 11 Macroeconomic applications 289 11.1 Introduction 289 11.2 Dynamic linear macroeconomic models 289 11.3 Input-output analysis 294 12 Single-period choice under certainty 299 12.1 Introduction 299 12.2 Definitions 299 12.3 Axioms 301 12.4 The consumer's problem and its dual 307 12.5 General equilibrium theory 316 12.6 Welfare theorems 323 13 Probability theory 334 13.1 Introduction 334 13.2 Sample spaces and random variables 334 13.3 Applications 338 13.4 Vector spaces of random variables 343 13.5 Random vectors 345 13.6 Expectations and moments 347 13.7 Multivariate normal distribution 351 13.8 Estimation and forecasting 354 13.9 Taylor's theorem: stochastic version 355 13.10 Jensen's inequality 356 14 Quadratic programming and econometric applications 371 14.1 Introduction 371 14.2 Algebra and geometry of ordinary least squares 371 14.3 Canonical quadratic programming problem 377 14.4 Stochastic difference equations 382 15 Multi-period choice under certainty 394 75.7 Introduction 394 15.2 Measuring rates of return 394

viii Contents 15.3 Multi-period general equilibrium 400 15.4 Term structure of interest rates 401 16 Single-period choice under uncertainty 415 76.7 Introduction 415 16.2 Motivation 415 16.3 Pricing state-contingent claims 416 16.4 The expected-utility paradigm 423 16.5 Risk aversion 429 16.6 Arbitrage, risk neutrality and the efficient markets hypothesis 434 16.7 Uncovered interest rate parity: Siegel's'paradox revisited 436 16.8 Mean-variance paradigm 440 16.9 Other non-expected-utility approaches 442 17 Portfolio theory 448 77.7 Introduction 448 17.2 Preliminaries 448 17.3 Single-period portfolio choice problem 450 17.4 Mathematics of the portfolio frontier 457 17.5 Market equilibrium and the capital asset pricing model 478 17.6 Multi-currency considerations 487 Notes ' 493 References 501 Index 505