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

被引：5

作者：

Hoogerheide, Lennart F. ^{[1
]}

Ardia, David ^{[1
]}

Corre, Nienke ^{[1
]}

机构：

[1] Vrije Univ Amsterdam, Dept Econometr, Amsterdam, Netherlands

来源：

ECONOMICS LETTERS | 2012年 / 116卷 / 03期

关键词：

GARCH; Bayesian; KLIC; Censored likelihood; CONDITIONAL HETEROSKEDASTICITY; FORECASTS;

D O I：

10.1016/j.econlet.2012.03.026

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

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. (C) 2012 Elsevier B.V. All rights reserved.

引用

页码：322 / 325

页数：4

共 16 条

[1] Comparing density forecasts via weighted likelihood ratio tests [J].

Amisano, Gianni ;

Giacomini, Raffaella .

JOURNAL OF BUSINESS & ECONOMIC STATISTICS, 2007, 25 (02) :177-190

[2]

Ardia D., 2010, RETHINKING RISK MEAS, VII

[3]

Ardia D., 2008, LECT NOTES EC MATH S, V612

[4]

Bauwens L., 1998, ECONOMET J, V1, pC23, DOI DOI 10.1111/1368-423X.11003

[5] GENERALIZED AUTOREGRESSIVE CONDITIONAL HETEROSKEDASTICITY [J].

BOLLERSLEV, T .

JOURNAL OF ECONOMETRICS, 1986, 31 (03) :307-327

[6] Evaluating interval forecasts [J].

Christoffersen, PF .

INTERNATIONAL ECONOMIC REVIEW, 1998, 39 (04) :841-862

[7] COMPARING PREDICTIVE ACCURACY [J].

DIEBOLD, FX ;

MARIANO, RS .

JOURNAL OF BUSINESS & ECONOMIC STATISTICS, 1995, 13 (03) :253-263

[8]

Diks C., 2008, 20080504 TI

[9] BAYESIAN TREATMENT OF THE INDEPENDENT STUDENT-T LINEAR-MODEL [J].

GEWEKE, J .

JOURNAL OF APPLIED ECONOMETRICS, 1993, 8 :S19-S40

[10] Comparing and evaluating Bayesian predictive distributions of asset returns [J].

Geweke, John ;

Amisano, Gianni .

INTERNATIONAL JOURNAL OF FORECASTING, 2010, 26 (02) :216-230

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