A comprehensive survey on current and future developments in long memory analysis. The book assembles three different strands of long memory analysis: statistical literature including tests on the properties of LRD processes; mathematical literature on stochastic processes; and models from economic theory providing. The text is aimed at economists, econometricians, and statisticians interested in the study of long memory in economics.

Comprehensive survey of the state of the art and of future developments in long memory analysis Combination of statistical, mathematical, and economic research in the field Includes supplementary material: sn.pub/extras

Inhalt
Statistical Methods.- Recent Advances in ARCH Modelling.- Intermittency, Long-Memory and Financial Returns.- The Spectrum of Euro-Dollar.- Hölderian Invariance Principles and Some Applications for Testing Epidemic Changes.- Adaptive Detection of Multiple Change-Points in Asset Price Volatility.- Bandwidth Choice, Optimal Rates and Adaptivity in Semiparametric Estimation of Long Memory.- Wavelet Analysis of Nonlinear Long-Range Dependent Processes. Applications to Financial Time Series.- Prediction, Orthogonal Polynomials and Toeplitz Matrices. A Fast and Reliable Approximation to the Durbin-Levinson Algorithm.- Economic Models.- A Nonlinear Structural Model for Volatility Clustering.- Volatility Clustering in Financial Markets: Empirical Facts and Agent-Based Models.- The Microeconomic Foundations of Instability in Financial Markets.- A Minimal Noise Trader Model with Realistic Time Series Properties.- Long Memory and Hysteresis.