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9780471465997

The Mathematics of Financial Modeling and Investment Management

by ;
  • ISBN13:

    9780471465997

  • ISBN10:

    0471465992

  • Format: Hardcover
  • Copyright: 2004-03-29
  • Publisher: WILEY
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Summary

the mathematics of financial modeling & investment management The Mathematics of Financial Modeling & Investment Management covers a wide range of technical topics in mathematics and finance-enabling the investment management practitioner, researcher, or student to fully understand the process of financial decision-making and its economic foundations. This comprehensive resource will introduce you to key mathematical techniques-matrix algebra, calculus, ordinary differential equations, probability theory, stochastic calculus, time series analysis, optimization-as well as show you how these techniques are successfully implemented in the world of modern finance. Special emphasis is placed on the new mathematical tools that allow a deeper understanding of financial econometrics and financial economics. Recent advances in financial econometrics, such as tools for estimating and representing the tails of the distributions, the analysis of correlation phenomena, and dimensionality reduction through factor analysis and cointegration are discussed in depth. Using a wealth of real-world examples, Focardi and Fabozzi simultaneously show both the mathematical techniques and the areas in finance where these techniques are applied. They also cover a variety of useful financial applications, such as: * Arbitrage pricing * Interest rate modeling * Derivative pricing * Credit risk modeling * Equity and bond portfolio management * Risk management * And much more Filled with in-depth insight and expert advice, The Mathematics of Financial Modeling & Investment Management clearly ties together financial theory and mathematical techniques.

Author Biography

SERGIO FOCARDI is a founding partner of The Intertek Group, a Paris-based firm providing consulting on advanced mathematical methods in banking and finance, and a cofounder of CINEF (Center for Interdisciplinary Research in Economics and Finance) at the University of Genoa, Italy. Focardi’s research interests focus on statistical arbitrage, dynamic factor analysis, and financial modeling in a multiple heterogeneous interacting agents framework. He has published numerous articles and coauthored the books Modeling the Market: New Theories and Techniques and Risk Management: Framework, Methods, and Practice (both published by Wiley). Focardi holds a degree in electronic engineering from the University of Genoa.
FRANK J. FABOZZI, PhD, CFA, is the Frederick Frank Adjunct Professor of Finance at Yale University’s School of Management and Editor of the Journal of Portfolio Management. Fabozzi is a Chartered Financial Analyst and Certified Public Accountant who has authored and edited many acclaimed books in finance. He earned a doctorate in economics from the City University of New York in 1972. He is a Fellow of the International Center for Finance at Yale University.

Table of Contents

Preface xiv
Acknowledgments xvi
About the Authors xviii
Commonly Used Symbols xix
Abbreviations and Acronyms xx
From Art to Engineering in Finance
1(20)
Investment Management Process
2(8)
Step 1: Setting Investment Objectives
2(1)
Step 2: Establishing an Investment Policy
2(4)
Step 3: Selecting a Portfolio Strategy
6(1)
Step 4: Selecting the Specific Assets
7(2)
Step 5: Measuring and Evaluating Performance
9(1)
Financial Engineering in Historical Perspective
10(1)
The Role of Information Technology
11(2)
Industry's Evaluation of Modeling Tools
13(2)
Integrating Qualitative and Quantitative Information
15(2)
Principles for Engineering a Suite of Models
17(1)
Summary
18(3)
Overview of Financial Markets, Financial Assets, and Market Participants
21(54)
Financial Assets
21(4)
Financial Markets
25(9)
Classification of Financial Markets
25(1)
Economic Functions of Financial Markets
26(1)
Secondary Markets
27(7)
Overview of Market Participants
34(11)
Role of Financial Intermediaries
35(2)
Institutional Investors
37(4)
Insurance Companies
41(1)
Pension Funds
41(1)
Investment Companies
42(1)
Depository Institutions
43(2)
Endowments and Foundations
45(1)
Common Stock
45(6)
Trading Locations
45(1)
Stock Market Indicators
46(2)
Trading Arrangements
48(3)
Bonds
51(6)
Maturity
51(1)
Par Value
52(1)
Coupon Rate
52(3)
Provisions for Paying off Bonds
55(1)
Options Granted to Bondholders
56(1)
Futures and Forward Contracts
57(7)
Futures versus Forward Contracts
58(1)
Risk and Return Characteristics of Futures Contracts
59(1)
Pricing of Futures Contracts
59(4)
The Role of Futures in Financial Markets
63(1)
Options
64(5)
Risk-Return for Options
66(1)
The Option Price
66(3)
Swaps
69(1)
Caps and Floors
70(1)
Summary
71(4)
Milestones in Financial Modeling and Investment Management
75(16)
The Precursors: Pareto, Walras, and the Lausanne School
76(2)
Price Diffusion: Bachelier
78(2)
The Ruin Problem in Insurance: Lundberg
80(1)
The Principles of Investment: Markowitz
81(2)
Understanding Value: Modigliani and Miller
83(2)
Modigliani-Miller Irrelevance Theorems and the Absence of Arbitrage
84(1)
Efficient Markets: Fama and Samuelson
85(1)
Capital Asset Pricing Model: Sharpe, Lintner, and Mossin
86(1)
The Multifactor CAPM: Merton
87(1)
Arbitrage Pricing Theory: Ross
88(1)
Arbitrage, Hedging, and Option Theory: Black, Scholes, and Merton
89(1)
Summary
90(1)
Principles of Calculus
91(50)
Sets and Set Operations
93(3)
Proper Subsets
93(2)
Empty Sets
95(1)
Union of Sets
95(1)
Intersection of Sets
95(1)
Elementary Properties of Sets
96(1)
Distances and Quantities
96(4)
n-tuples
97(1)
Distance
98(1)
Density of Points
99(1)
Functions
100(1)
Variables
101(1)
Limits
102(1)
Continuity
103(2)
Total Variation
105(1)
Differentiation
106(5)
Commonly Used Rules for Computing Derivatives
107(4)
Higher Order Derivatives
111(10)
Application to Bond Analysis
112(9)
Taylor Series Expansion
121(6)
Application to Bond Analysis
122(5)
Integration
127(4)
Riemann Integrals
127(2)
Properties of Riemann Integrals
129(1)
Lebesque-Stieltjes Integrals
130(1)
Indefinite and Improper Integrals
131(1)
The Fundamental Theorem of Calculus
132(2)
Integral Transforms
134(4)
Laplace Transforms
134(3)
Fourier Transforms
137(1)
Calculus in More than One Variable
138(1)
Summary
139(2)
Matrix Algebra
141(24)
Vectors and Matrices Defined
141(4)
Vectors
141(3)
Matrices
144(1)
Square Matrices
145(3)
Diagonals and Antidiagonals
145(1)
Identity Matrix
146(1)
Diagonal Matrix
146(2)
Upper and Lower Triangular Matrix
148(1)
Determinants
148(1)
Systems of Linear Equations
149(2)
Linear Independence and Rank
151(1)
Hankel Matrix
152(1)
Vector and Matrix Operations
153(7)
Vector Operations
153(3)
Matrix Operations
156(4)
Eigenvalues and Eigenvectors
160(1)
Diagonalization and Similarity
161(1)
Singular Value Decomposition
162(1)
Summary
163(2)
Concepts of Probability
165(36)
Representing Uncertainty with Mathematics
165(2)
Probability in a Nutshell
167(2)
Outcomes and Events
169(1)
Probability
170(1)
Measure
171(1)
Random Variables
172(1)
Integrals
172(2)
Distributions and Distribution Functions
174(1)
Random Vectors
175(3)
Stochastic Processes
178(2)
Probabilistic Representation of Financial Markets
180(1)
Information Structures
181(1)
Filtration
182(2)
Conditional Probability and Conditional Expectation
184(2)
Moments and Correlation
186(2)
Copula Functions
188(1)
Sequences of Random Variables
189(2)
Independent and Identically Distributed Sequences
191(1)
Sum of Variables
191(3)
Gaussian Variables
194(3)
The Regression Function
197(2)
Linear Regression
197(2)
Summary
199(2)
Optimization
201(16)
Maxima and Minima
202(2)
Lagrange Multipliers
204(2)
Numerical Algorithms
206(6)
Linear Programming
206(5)
Quadratic Programming
211(1)
Calculus of Variations and Optimal Control Theory
212(2)
Stochastic Programming
214(2)
Summary
216(1)
Stochastic Integrals
217(22)
The Intuition Behind Stochastic Integrals
219(6)
Brownian Motion Defined
225(5)
Properties of Brownian Motion
230(2)
Stochastic Integrals Defined
232(4)
Some Properties of Ito Stochastic Integrals
236(1)
Summary
237(2)
Differential Equations and Difference Equations
239(28)
Differential Equations Defined
240(1)
Ordinary Differential Equations
240(3)
Order and Degree of an ODE
241(1)
Solution to an ODE
241(2)
Systems of Ordinary Differential Equations
243(3)
Closed-Form Solutions of Ordinary Differential Equations
246(3)
Linear Differential Equations
247(2)
Numerical Solutions of Ordinary Differential Equations
249(7)
The Finite Difference Method
249(7)
Nonlinear Dynamics and Chaos
256(3)
Fractals
258(1)
Partial Differential Equations
259(6)
Diffusion Equation
259(2)
Solution of the Diffusion Equation
261(2)
Numerical Solution of PDEs
263(2)
Summary
265(2)
Stochastic Differential Equations
267(16)
The Intuition Behind Stochastic Differential Equations
268(3)
Ito Processes
271(1)
The 1-Dimensional Ito Formula
272(2)
Stochastic Differential Equations
274(2)
Generalization to Several Dimensions
276(2)
Solution of Stochastic Differential Equations
278(4)
The Arithmetic Brownian Motion
280(1)
The Ornstein-Uhlenbeck Process
280(1)
The Geometric Brownian Motion
281(1)
Summary
282(1)
Financial Econometrics: Time Series Concepts, Representations, and Models
283(32)
Concepts of Time Series
284(2)
Stylized Facts of Financial Time Series
286(2)
Infinite Moving-Average and Autoregressive Representation of Time Series
288(9)
Univariate Stationary Series
288(1)
The Lag Operator L
289(3)
Stationary Univariate Moving Average
292(1)
Multivariate Stationary Series
293(2)
Nonstationary Series
295(2)
ARMA Representations
297(8)
Stationary Univariate ARMA Models
297(3)
Nonstationary Univariate ARMA Models
300(1)
Stationary Multivariate ARMA Models
301(3)
Nonstationary Multivariate ARMA Models
304(1)
Markov Coefficients and ARMA Models
304(1)
Hankel Matrices and ARMA Models
305(1)
State-Space Representation
305(4)
Equivalence of State-Space and ARMA Representations
308(1)
Integrated Series and Trends
309(4)
Summary
313(2)
Financial Econometrics: Model Selection, Estimation, and Testing
315(36)
Model Selection
315(2)
Learning and Model Complexity
317(2)
Maximum Likelihood Estimate
319(5)
Linear Models of Financial Time Series
324(1)
Random Walk Models
324(3)
Correlation
327(2)
Random Matrices
329(3)
Multifactor Models
332(6)
CAPM
334(1)
Asset Pricing Theory (APT) Models
335(1)
PCA and Factor Models
335(3)
Vector Autoregressive Models
338(1)
Cointegration
339(6)
State-Space Modeling and Cointegration
342(1)
Empirical Evidence of Cointegration in Equity Prices
343(2)
Nonstationary Models of Financial Time Series
345(4)
The ARCH/GARCH Family of Models
346(1)
Markov Switching Models
347(2)
Summary
349(2)
Fat Tails, Scaling, and Stable Laws
351(42)
Scaling, Stable Laws, and Fat Tails
352(10)
Fat Tails
352(1)
The Class £ of Fat-Tailed Distributions
353(5)
The Law of Large Numbers and the Central Limit Theorem
358(2)
Stable Distributions
360(2)
Extreme Value Theory for IID Processes
362(16)
Maxima
362(6)
Max-Stable Distributions
368(1)
Generalized Extreme Value Distributions
368(1)
Order Statistics
369(2)
Point Process of Exceedances or Peaks over Threshold
371(2)
Estimation
373(5)
Eliminating the Assumption of IID Sequences
378(10)
Heavy-Tailed ARMA Processes
381(1)
ARCH/GARCH Processes
382(1)
Subordinated Processes
383(1)
Markov Switching Models
384(1)
Estimation
384(1)
Scaling and Self-Similarity
385(3)
Evidence of Fat Tails in Financial Variables
388(3)
On the Applicability of Extreme Value Theory in Finance
391(1)
Summary
392(1)
Arbitrage Pricing: Finite-State Models
393(48)
The Arbitrage Principle
393(2)
Arbitrage Pricing in a One-Period Setting
395(7)
State Prices
397(1)
Risk-Neutral Probabilities
398(1)
Complete Markets
399(3)
Arbitrage Pricing in a Multiperiod Finite-State Setting
402(21)
Propagation of Information
402(1)
Trading Strategies
403(1)
State-Price Deflator
404(1)
Pricing Relationships
405(9)
Equivalent Martingale Measures
414(2)
Risk-Neutral Probabilities
416(7)
Path Dependence and Markov Models
423(1)
The Binomial Model
423(4)
Risk-Neutral Probabilities for the Binomial Model
426(1)
Valuation of European Simple Derivatives
427(2)
Valuation of American Options
429(1)
Arbitrage Pricing in a Discrete-Time, Continuous-State Setting
430(5)
APT Models
435(4)
Testing APT
436(3)
Summary
439(2)
Arbitrage Pricing: Continuous-State, Continuous-Time Models
441(30)
The Arbitrage Principle in Continuous Time
441(4)
Trading Strategies and Trading Gains
443(2)
Arbitrage Pricing in Continuous-State, Continuous-Time
445(2)
Option Pricing
447(7)
Stock Price Processes
447(1)
Hedging
448(1)
The Black-Scholes Option Pricing Formula
449(3)
Generalizing the Pricing of European Options
452(2)
State-Price Deflators
454(3)
Equivalent Martingale Measures
457(2)
Equivalent Martingale Measures and Girsanov's Theorem
459(4)
The Diffusion Invariance Principle
461(1)
Application of Girsanov's Theorem to Black-Scholes Option Pricing Formula
462(1)
Equivalent Martingale Measures and Complete Markets
463(1)
Equivalent Martingale Measures and State Prices
464(2)
Arbitrage Pricing with a Payoff Rate
466(1)
Implications of the Absence of Arbitrage
467(1)
Working with Equivalent Martingale Measures
468(1)
Summary
468(3)
Portfolio Selection Using Mean-Variance Analysis
471(40)
Diversification as a Central Theme in Finance
472(2)
Markowitz's Mean-Variance Analysis
474(3)
Capital Market Line
477(5)
Deriving the Capital Market Line
478(3)
What is Portfolio M?
481(1)
Risk Premium in the CML
482(1)
The CML and the Optimal Portfolio
482(3)
Utility Functions and Indifference Curves
482(2)
Selection of the Optimal Portfolio
484(1)
Extension of the Markowitz Mean-Variance Model to Inequality Constraints
485(2)
A Second Look at Portfolio Choice
487(4)
The Return Forecast
487(1)
The Utility Function
488(2)
Optimizers
490(1)
A Global Probabilistic Framework for Portfolio Selection
490(1)
Relaxing the Assumption of Normality
491(1)
Multiperiod Stochastic Optimization
492(2)
Application to the Asset Allocation Decision
494(13)
The Inputs
495(5)
Portfolio Selection: An Example
500(3)
Inclusion of More Asset Classes
503(4)
Extensions of the Basic Asset Allocation Model
507(2)
Summary
509(2)
Capital Asset Pricing Model
511(18)
CAPM Assumptions
512(1)
Systematic and Nonsystematic Risk
513(3)
Security Market Line
516(2)
Estimating the Characteristic Line
518(1)
Testing The CAPM
518(5)
Deriving the Empirical Analogue of the CML
518(1)
Empricial Implications
519(1)
General Findings of Empirical Tests of the CAPM
520(1)
A Critique of Tests of the CAPM
520(1)
Merton and Black Modifications of the CAPM
521(1)
CAPM and Random Matrices
522(1)
The Conditional CAPM
523(1)
Beta, Beta Everywhere
524(1)
The Role of the CAPM in Investment Management Applications
525(1)
Summary
526(3)
Multifactor Models and Common Trends for Common Stocks
529(22)
Multifactor Models
530(7)
Determination of Factors
532(5)
Dynamic Market Models of Returns
537(1)
Estimation of State-Space Models
538(1)
Dynamic Models for Prices
538(8)
Estimation and Testing of Cointegrated Systems
543(1)
Cointegration and Financial Time Series
544(2)
Nonlinear Dynamic Models for Prices and Returns
546(3)
Summary
549(2)
Equity Portfolio Management
551(42)
Integrating the Equity Portfolio Management Process
551(1)
Active versus Passive Portfolio Management
552(1)
Tracking Error
553(7)
Backward-Looking versus Forward-Looking Tracking Error
555(1)
The Impact of Portfolio Size, Benchmark Volatility, and Portfolio Beta on Tracking Error
556(4)
Equity Style Management
560(4)
Types of Equity Styles
560(2)
Style Classification Systems
562(2)
Passive Strategies
564(2)
Constructing an Indexed Portfolio
564(1)
Index Tracking and Cointegration
565(1)
Active Investing
566(11)
Top-Down Approaches to Active Investing
566(1)
Bottom-Up Approaches to Active Investing
567(1)
Fundamental Law of Active Management
568(3)
Strategies Based on Technical Analysis
571(2)
Nonlinear Dynamic Models and Chaos
573(1)
Technical Analysis and Statistical Nonlinear Pattern Recognition
574(1)
Market-Neutral Strategies and Statistical Arbitrage
575(2)
Application of Multifactor Risk Models
577(12)
Risk Decomposition
577(5)
Portfolio Construction and Risk Control
582(1)
Assessing the Exposure of a Portfolio
583(4)
Risk Control Against a Stock Market Index
587(1)
Tilting a Portfolio
587(2)
Summary
589(4)
Term Structure Modeling and Valuation of Bonds and Bond Options
593(56)
Basic Principles of Valuation of Debt Instruments
594(2)
Yield-to-Maturity Measure
596(3)
Premium Par Yield
598(1)
Reinvestment of Cash Flow and Yield
598(1)
The Term Structure of the Interest Rates and the Yield Curve
599(13)
Limitations of Using the Yield to Value a Bond
602(1)
Valuing a Bond as a Package of Cash Flows
603(1)
Obtaining Spot Rates from the Treasury Yield Curve
603(3)
Using Spot Rates to the Arbitrage-Free Value of a Bond
606(1)
The Discount Function
606(1)
Forward Rates
607(1)
Swap Curve
608(4)
Classical Economic Theories About the Determinants of the Shape of the Term Structure
612(6)
Expectations Theories
613(5)
Market Segmentation Theory
618(1)
Bond Valuation Formulas in Continuous Time
618(5)
The Term Structure of Interest Rates in Continuous Time
623(15)
Spot Rates: Continuous Case
624(1)
Forward Rates: Continuous Case
625(1)
Relationships for Bond and Option Valuation
626(1)
The Feynman-Kac Formula
627(5)
Multifactor Term Structure Model
632(2)
Arbitrage-Free Models versus Equilibrium Models
634(1)
Examples of One-Factor Term Structure Models
635(3)
Two-Factor Models
638(1)
Pricing of Interest-Rate Derivatives
638(2)
The Heath-Jarrow-Morton Model of the Term Structure
640(3)
The Brace-Gatarek-Musiela Model
643(1)
Discretization of Ito Processes
644(2)
Summary
646(3)
Bond Portfolio Management
649(30)
Management versus a Bond Market Index
649(12)
Tracking Error and Bond Portfolio Strategies
651(1)
Risk Factors and Portfolio Management Strategies
652(2)
Determinants of Tracking Error
654(1)
Illustration of the Multifactor Risk Model
654(7)
Liability-Funding Strategies
661(16)
Cash Flow Matching
664(3)
Portfolio Immunization
667(5)
Scenario Optimization
672(1)
Stochastic Programming
673(4)
Summary
677(2)
Credit Risk Modeling and Credit Default Swaps
679(58)
Credit Default Swaps
679(4)
Single-Name Credit Default Swaps
680(1)
Basket Default Swaps
681(2)
Legal Documentation
683(1)
Credit Risk Modeling: Structural Models
683(13)
The Black-Scholes-Merton Model
685(5)
Geske Compound Option Model
690(4)
Barrier Structural Models
694(2)
Advantages and Drawbacks of Structural Models
696(1)
Credit Risk Modeling: Reduced Form Models
696(14)
The Poisson Process
697(1)
The Jarrow-Turnbull Model
698(5)
Transition Matrix
703(3)
The Duffie-Singleton Model
706(4)
General Observations on Reduced Form Models
710(1)
Pricing Single-Name Credit Default Swaps
710(8)
General Framework
711(1)
Survival Probability and Forward Default Probability: A Recap
712(1)
Credit Default Swap Value
713(3)
No Need For Stochastic Hazard Rate or Interest Rate
716(1)
Delivery Option in Default Swaps
716(1)
Default Swaps with Counterparty Risk
717(1)
Valuing Basket Default Swaps
718(16)
The Pricing Model
718(4)
How to Model Correlated Default Processes
722(12)
Summary
734(3)
Risk Management
737(20)
Market Completeness
738(6)
The Mathematics of Market Completeness
739(3)
The Economics of Market Completeness
742(2)
Why Manage Risk?
744(1)
Risk Models
745(2)
Market Risk
745(1)
Credit Risk
746(1)
Operational Risk
746(1)
Risk Measures
747(4)
Risk Management in Asset and Portfolio Management
751(4)
Factors Driving Risk Management
752(1)
Risk Measurement in Practice
752(1)
Getting Down to the Lowest Level
753(1)
Regulatory Implications of Risk Measurement
754(1)
Summary
755(2)
Index 757

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