We a good story
Quick delivery in the UK

Estimation in Conditionally Heteroscedastic Time Series Models

About Estimation in Conditionally Heteroscedastic Time Series Models

Engle showed that this model, which he called ARCH (autoregressive conditionally heteroscedastic), is well-suited for the description of economic and financial price. This monograph concentrates on mathematical statistical problems associated with fitting conditionally heteroscedastic time series models to data.

Show more
  • Language:
  • English
  • ISBN:
  • 9783540211358
  • Binding:
  • Paperback
  • Pages:
  • 228
  • Published:
  • November 19, 2004
  • Edition:
  • 2005
  • Dimensions:
  • 155x235x13 mm.
  • Weight:
  • 780 g.
Delivery: 1-2 weeks
Expected delivery: October 17, 2024

Description of Estimation in Conditionally Heteroscedastic Time Series Models

Engle showed that this model, which he called ARCH (autoregressive conditionally heteroscedastic), is well-suited for the description of economic and financial price. This monograph concentrates on mathematical statistical problems associated with fitting conditionally heteroscedastic time series models to data.

User ratings of Estimation in Conditionally Heteroscedastic Time Series Models



Find similar books
The book Estimation in Conditionally Heteroscedastic Time Series Models can be found in the following categories:

Join thousands of book lovers

Sign up to our newsletter and receive discounts and inspiration for your next reading experience.