Accurate modelling of volatility (or risk) is important in finance, particularly as it relates to the modelling and forecasting of value-at-risk (VaR) thresholds. As financial applications typically deal with a portfolio of assets and risk, there are several multivariate GARCH models which...

The variance of a portfolio can be forecast using a single index model or the covariance matrix of the portfolio. Using univariate and multivariate conditional volatility models, this paper evaluates the performance of the single index and portfolio models in forecasting value-at-risk (VaR)...

In this note we establish finite sample relations among some exact and asymptotic tests of non-nested linear regression models.

Following the rapid growth in the international debt of less developed countries in the 1970s and the increasing incidence of debt rescheduling in the early 1980s, country risk has become a topic of major concern for the international financial community. A critical assessment of country risk is...

This paper presents an aggregate production function of the generalized Fechner-Thurstone (GFT) form to analyze the impact of an important component of intellectual industrial property, namely patent activity, on technical change in the USA for the period 1947-1981. We define a...

Since the 1970s, electronics and associated electrical equipment (henceforth "electronics") has been one of the most dominant industries in the developed countries, with its geographical centre firmly rooted in the USA. The overall presence of electronics patents in the USA is considerable, with...

This paper examines whether forming an optimum currency area (OCA) is viable for the East Asian region by testing the symmetry of underlying structural shocks. A structural vector autoregression (VAR) method is used to identify the underlying shocks and to examine the correlation in shocks for...

Least squares (LS) and maximum likelihood (ML) estimation are con-sidered for unit root processes with GARCH (1, 1) errors. The asymp-totic distributions of LS and ML estimators are derived under the con-dition ƒ¿ + ƒÀ 1. The former has the usual unit root distribution and the latter is a...