The Recursive Fitting of Subset VARX Models - Financial and Economic Forecasting (Chapter 8)

23 Pages Posted: 24 Feb 2003

See all articles by Jack H.W. Penm

Jack H.W. Penm

Australian National University - School of Finance and Applied Statistics, Faculty of Economics and Commerce

Jammie H. Penm

Independent

R. Deane Terrell

Australian National University (ANU) - National Graduate School of Management

Multiple version iconThere are 2 versions of this paper

Date Written: October 2002

Abstract

A vector time series model of the form A(L)y(t)+B(L)x(t)=e(t), is known as a vector autoregressive model with exogenous variables (VARX model) and involves a regressand vector y(t) and a regressor vector x(t). This chapter provides a method for the recursive fitting of subset VARX models. It suggests the use of ascending recursions in conjunction with an order selection criterion to choose an 'optimum' subset VARX model.

Keywords: Recursive Fitting, Time Series, VARX Models

JEL Classification: C22, C53, E31

Suggested Citation

Penm, Jack and Penm, Jammie H. and Terrell, R. Deane, The Recursive Fitting of Subset VARX Models - Financial and Economic Forecasting (Chapter 8) (October 2002). Available at SSRN: https://ssrn.com/abstract=358940 or http://dx.doi.org/10.2139/ssrn.358940

Jack Penm (Contact Author)

Australian National University - School of Finance and Applied Statistics, Faculty of Economics and Commerce ( email )

Canberra, Australian Capital Territory 0200
Australia
+61 (02) 61250535 (Phone)
+61 (02) 61250087 (Fax)

Jammie H. Penm

Independent ( email )

61 (02) 62880126 (Phone)
61 (02) 61250087 (Fax)

R. Deane Terrell

Australian National University (ANU) - National Graduate School of Management ( email )

Sir Roland Wilson Building (120)
Canberra, Australian Capital Territory 0200
Australia

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