Michael McAleer

Identifying shocks in regionally integrated East Asian economies with structural VAR and block exogeneity

In this paper we use a structural VAR model with block exogeneity to investigate if external shocks originating from the USA played a dominant role in influencing the macroeconomic fluctuations in East Asia during the period 1978-2007. The empirical results show a dynamic effect of external shocks, implying that, even though regional integration appears to be deepening and accelerating, especially after the recent global financial crisis, the influence of US shocks on real output fluctuations in the East Asian region is still very strong. The effects of Chinese shocks show an increasing trend over time, but the impacts are still small and not comparable with those of US shocks. The world oil price shock has become increasingly important in influencing the stability of real output growth in the region. The results from variance decomposition and impulse response analysis confirm the findings. Even though Japanese firms have established production networks in East Asia through trade and investment, and China has also grown rapidly and become a key regional country, the results suggest that US influence in the region is still asymmetric and strong. Therefore, it is difficult to conclude that shocks to the East Asian economies have become more regionally oriented.

The Economics of Small Island Tourism

This study forms an entirely new area of research on Small Island Tourism Economies (SITEs). It addresses the importance of uncertainty in monthly international tourist arrivals and country risk indicators to the macroeconomy.

Value-at-Risk for country risk ratings

The country risk literature argues that country risk ratings have a direct impact on the cost of borrowings as they reflect the probability of debt default by a country. An improvement in country risk ratings, or country creditworthiness, will lower a countrys cost of borrowing and debt servicing obligations, and vice versa. In this context, it is useful to analyse country risk ratings data, much like financial data, in terms of the time series patterns, as such an analysis would provide policy makers and the industry stakeholders with a more accurate method of forecasting future changes in the risks and returns of country risk ratings. This paper considered an extension of the Value-at-Risk (VaR) framework where both the upper and lower thresholds are considered. The purpose of the paper was to forecast the conditional variance and Country Risk Bounds (CRBs) for the rate of change of risk ratings for 10 countries. The conditional variance of composite risk returns for the 10 countries were forecasted using the Single Index (SI) and Portfolio Methods (PM) of McAleer and da Veiga [10,11]. The results suggested that the country risk ratings of Switzerland, Japan and Australia are much mode likely to remain close to current levels than the country risk ratings of Argentina, Brazil and Mexico. This type of analysis would be useful to lenders/investors evaluating the attractiveness of lending/investing in alternative countries.