Econometrics of Financial High-Frequency Data

The availability of financial data recorded on high-frequency level has inspired a research area which over the last decade emerged to a major area in econometrics and statistics. The growing popularity of high-frequency econometrics is driven by technological progress in trading systems and an incr...

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Detalles Bibliográficos
Autor principal: Hautsch, Nikolaus (-)
Autor Corporativo: SpringerLink (-)
Formato: Libro electrónico
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer 2012.
Colección:Springer eBooks.
Acceso en línea:Conectar con la versión electrónica
Ver en Universidad de Navarra:https://innopac.unav.es/record=b36248022*spi
Tabla de Contenidos:
  • 1 Introduction
  • 2 Microstructure Foundations
  • 3 Empirical Properties of High-Frequency Data
  • 4 Financial Point Processes
  • 5 Univariate Multiplicative Error Models
  • 6 Generalized Multiplicative Error Models
  • 7 Vector Multiplicative Error Models
  • 8 Modelling High-Frequency Volatility
  • 9 Estimating Market Liquidity
  • 10 Semiparametric Dynamic Proportional Hazard Models
  • 11 Univariate Dynamic Intensity Models
  • 12 Multivariate Dynamic Intensity Models
  • 13 Autoregressive Discrete Processes and Quote Dynamics
  • Appendix: Important Distributions for Positive-Value Data
  • Index.