The Mathematics of Financial Modelingand Investment Management

(Brent) #1

Frontmatter Page vii Monday, March 8, 2004 10:06 AM


Contents vii

Closed-Form Solutions of Ordinary Differential Equations 246

Linear Differential Equation 247

Numerical Solutions of Ordinary Differential Equations 249

The Finite Difference Method 249

Nonlinear Dynamics and Chaos 256

Fractals 258

Partial Differential Equations 259

Diffusion Equation 259

Solution of the Diffusion Equation 261

Numerical Solution of PDEs 263

Summary 265

CHAPTER 10
Stochastic Differential Equations 267

The Intuition Behind Stochastic Differential Equations 268

Itô Processes 271

The 1-Dimensional Itô Formula 272

Stochastic Differential Equations 274

Generalization to Several Dimensions 276

Solution of Stochastic Differential Equations 278

The Arithmetic Brownian Motion 280

The Ornstein-Uhlenbeck Process 280

The Geometric Brownian Motion 281

Summary 282

CHAPTER 11
Financial Econometrics: Time Series Concepts, Representations, and Models 283

Concepts of Time Series 284

Stylized Facts of Financial Time Series 286

Infinite Moving-Average and Autoregressive
Representation of Time Series 288

Univariate Stationary Series 288

The Lag Operator L 289

Stationary Univariate Moving Average 292

Multivariate Stationary Series 293

Nonstationary Series 295

ARMA Representations 297

Stationary Univariate ARMA Models 297

Nonstationary Univariate ARMA Models 300

Stationary Multivariate ARMA Models 301

Nonstationary Multivariate ARMA Models 304

Markov Coefficients and ARMA Models 304

Hankel Matrices and ARMA Models 305

State-Space Representation 305

Equivalence of State-Space and ARMA Representations 308

Integrated Series and Trends 309

Summary 313
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