Skip to main content

Parametric ARMA(p, q)- GARCH(r, s) Models

  • Chapter
Bootstrapping Stationary ARMA-GARCH Models
  • 1328 Accesses

Abstract

In this chapter we extend the results of the previous chapter to the parametric ARMA (p, q)-GARCH (r, s) model estimated by the QML method. In the first section we sketch the estimation theory based on Francq and Zakoïan (2004). Then, analogously to the previous chapter, possible applications of the residual and the wild bootstrap are proposed and their weak consistency investigated. These theoretical results are confirmed by simulations in the last section

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 2010 Vieweg+Teubner | GWV Fachverlage GmbH

About this chapter

Cite this chapter

Shimizu, K. (2010). Parametric ARMA(p, q)- GARCH(r, s) Models. In: Bootstrapping Stationary ARMA-GARCH Models. Vieweg+Teubner. https://doi.org/10.1007/978-3-8348-9778-7_4

Download citation

Publish with us

Policies and ethics