Density prediction of stock index returns using GARCH models: Frequentist or Bayesian estimation?

C-Tier
Journal: Economics Letters
Year: 2012
Volume: 116
Issue: 3
Pages: 322-325

Authors (3)

Hoogerheide, Lennart F. (not in RePEc) Ardia, David (HEC Montréal (École des Hautes...) Corré, Nienke (not in RePEc)

Score contribution per author:

0.335 = (α=2.01 / 3 authors) × 0.5x C-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

Abstract

Using GARCH models for density prediction of stock index returns, a comparison is provided between frequentist and Bayesian estimation. No significant difference is found between qualities of whole density forecasts, whereas the Bayesian approach exhibits significantly better left-tail forecast accuracy.

Technical Details

RePEc Handle
repec:eee:ecolet:v:116:y:2012:i:3:p:322-325
Journal Field
General
Author Count
3
Added to Database
2026-01-24