EconBiz - Find Economic Literature
    • Logout
    • Change account settings
  • A-Z
  • Beta
  • About EconBiz
  • News
  • Thesaurus (STW)
  • Academic Skills
  • Help
  •  My account 
    • Logout
    • Change account settings
  • Login
EconBiz - Find Economic Literature
Publications Events
Search options
Advanced Search history
My EconBiz
Favorites Loans Reservations Fines
    You are here:
  • Home
  • Search: subject:"GARCH-PARK-R"
Narrow search

Narrow search

Year of publication
Subject
All
GARCH-PARK-R 2 QMLE 2 Volatility 2 Parkinson Range 1
Online availability
All
Free 2
Type of publication
All
Article 1 Book / Working Paper 1
Language
All
Undetermined 2
Author
All
Mapa, Dennis S. 2
Institution
All
Volkswirtschaftliche Fakultät, Ludwig-Maximilians-Universität München 1
Published in...
All
MPRA Paper 1 Philippine Review of Economics 1
Source
All
RePEc 2
Showing 1 - 2 of 2
Cover Image
A Range-Based GARCH Model for Forecasting Volatility
Mapa, Dennis S. - Volkswirtschaftliche Fakultät, … - 2003
AutoRegressive Conditional Heteroskedasticity Parkinson Range (GARCH-PARK-R) Model, is proposed. The GARCH-PARK-R model, utilizing …, which remain relatively costly and are not readily available. The estimates of the GARCH-PARK-R model are derived using the … Quasi-Maximum Likelihood Estimation (QMLE). The results suggest that the GARCH-PARK-R model is a good middle ground between …
Persistent link: https://www.econbiz.de/10008562644
Saved in:
Cover Image
A range-based GARCH model for forecasting financial volatility
Mapa, Dennis S. - In: Philippine Review of Economics 40 (2003) 2, pp. 73-90
AutoRegressive Conditional Heteroskedasticity Parkinson Range (GARCH-PARK-R) model, is proposed. The GARCH-PARK-R model, utilizing …-daily data that remain relatively costly and are not readily available. The estimates of the GARCH-PARK-R model are derived using …
Persistent link: https://www.econbiz.de/10008672384
Saved in:
A service of the
zbw
FAQ-Assistent (beta)
  • Sitemap
  • Plain language
  • Accessibility
  • Contact us
  • Imprint
  • Privacy

Loading...