The Mathematics of Financial Modelingand Investment Management

(Brent) #1

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


viii Contents

CHAPTER 12
Financial Econometrics: Model Selection, Estimation, and Testing 315

Model Selection 315

Learning and Model Complexity 317

Maximum Likelihood Estimate 319

Linear Models of Financial Time Series 324

Random Walk Models 324

Correlation 327

Random Matrices 329

Multifactor Models 332

CAPM 334

Asset Pricing Theory (APT) Models 335

PCA and Factor Models 335

Vector Autoregressive Models 338

Cointegration 339

State-Space Modeling and Cointegration 342

Empirical Evidence of Cointegration in Equity Prices 343

Nonstationary Models of Financial Time Series 345

The ARCH/GARCH Family of Models 346

Markov Switching Models 347

Summary 349

CHAPTER 13
Fat Tails, Scaling, and Stable Laws 351

Scaling, Stable Laws, and Fat Tails 352

Fat Tails 352

The Class L of Fat-Tailed Distributions 353

The Law of Large Numbers and the Central Limit Theorem 358

Stable Distributions 360

Extreme Value Theory for IID Processes 362

Maxima 362

Max-Stable Distributions 368

Generalized Extreme Value Distributions 368

Order Statistics 369

Point Process of Exceedances or Peaks over Threshold 371

Estimation 373

Eliminating the Assumption of IID Sequences 378

Heavy-Tailed ARMA Processes 381

ARCH/GARCH Processes 382

Subordinated Processes 383

Markov Switching Models 384

Estimation 384

Scaling and Self-Similarity 385

Evidence of Fat Tails in Financial Variables 388

On the Applicability of Extreme Value Theory in Finance 391

Summary 392
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