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Table of Contents
Introduction
Part I Time Series Modeling
Basic Concepts from Probability Theory
Autoregressive Moving Average Processes (ARMA)
Spectra of Stationary Processes
Long Memory and Fractional Integration
Processes with Autoregressive Conditional Heteroskedasticity (ARCH)
Part II Stochastic Integrals
Wiener Processes (WP)
Riemann Integrals
Stieltjes Integrals
Ito Integrals
Ito{u2019}s Lemma
Part III Applications
Stochastic Differential Equations (SDE)
Interest Rate Models
Asymptotics of Integrated Processes
Trends, Integration Tests and Nonsense Regressions
Cointegration Analysis.
Part I Time Series Modeling
Basic Concepts from Probability Theory
Autoregressive Moving Average Processes (ARMA)
Spectra of Stationary Processes
Long Memory and Fractional Integration
Processes with Autoregressive Conditional Heteroskedasticity (ARCH)
Part II Stochastic Integrals
Wiener Processes (WP)
Riemann Integrals
Stieltjes Integrals
Ito Integrals
Ito{u2019}s Lemma
Part III Applications
Stochastic Differential Equations (SDE)
Interest Rate Models
Asymptotics of Integrated Processes
Trends, Integration Tests and Nonsense Regressions
Cointegration Analysis.