Modelling Inflation in Australia

This paper estimates a range of single-equation models of inflation for Australia. We find that traditional models, such as the expectations-augmented standard Phillips curve or mark-up models, outperform the more micro-founded New-Keynesian Phillips curve (NKPC) in explaining trimmed mean inflation, both in terms of in-sample fit and significance of coefficients. This in large part reflects the weak instruments problem in the estimation of the NKPC, and is partly corrected by including a direct measure of inflation expectations, but we still find that the unemployment rate or growth in marginal costs (unit labour cost and import prices) provides a better fit than either the output gap or level of real marginal costs. These traditional models also perform well in out-of-sample tests, relative to alternative models and some common benchmarks, with the standard Phillips curve clearly superior to these benchmarks on this test. As inflation has become better anchored and hence less variable, the magnitude of the errors of the single-equation models has declined, although the explanatory power (in terms of R-squared) has fallen together with this greater stability. We also investigate the empirical importance of some other variables that are commonly cited as determinants of inflation, and find little evidence that either commodity prices or the growth rate of money directly influence Australian underlying inflation.inflation; modelling

Trade Openness: An Australian Perspective

Australia’s external trade is relatively low compared with the size of its economy. Indeed, Australia’s openness ratio (exports plus imports as a proportion of GDP) in 2002 was the third-lowest among the 30 OECD countries. This paper seeks to understand Australia’s low openness by analysing the empirical determinants of aggregate country trade. We begin by estimating a standard gravity model of bilateral trade. Although the model appears to fit the bilateral data very well, it does a relatively poor job at fitting countries’ aggregate trade levels, with different methodologies sometimes providing highly conflicting results. The focus of the paper is an equation for country openness. Our equation explains a substantial amount of the variation in how much countries trade using a small number of explanatory variables. We find that the most important determinants of openness are population and a measure of distance to potential trade partners. Countries with larger populations trade less, as do countries that are relatively more remote. Furthermore, after controlling for trade policy there is little evidence of a positive correlation between openness and economic development. While gravity models suggest Australia trades much more than expected, the openness equation suggests that its level of trade is relatively close to what would be expected. The most important factors in explaining Australia’s low openness ratio are its distance to the rest of the world, and to a lesser extent its large geographic size.trade; outward orientation; economic geography; trade liberalisation

Big Fish in Small Ponds: The Trading Behaviour and Price Impact of Foreign Investors in Asian Emerging Equity Markets

This paper analyses data for the aggregate daily trading of all foreign investors in six Asian emerging equity markets and provides two new findings. First, foreigners’ flows into several markets show positive-feedback trading with respect to global, as well as domestic, equity returns. In particular, foreigners tend to be buyers in these markets on the day after rises in these markets or in US markets. The nature of this trading suggests it is due to behavioural factors or foreigners extracting information from recent returns, rather than portfolio-rebalancing effects. Second, the price impacts associated with foreigners’ trading are much larger than earlier estimates. The results suggest that foreign investors and external conditions have a larger effect on emerging markets than implied by previous work.equity markets; emerging markets; foreign investors; positive-feedback trading; price impacts

Rating agency actions and the pricing of debt and equity of European banks: What can we infer about private sector monitoring of bank soundness?

The recent consultative papers by the Basel Committee suggest an explicit role for external rating agencies in the assessment of the credit risk of banks' assets. In this context, an assessment of the information contained in credit ratings is important. We address this issue via an event study of rating change announcements by leading international rating agencies, focussing on a sample of European banks. We find no evidence of announcement effects on bond prices. We are largely able to exclude lack of liquidity as an explanation for this puzzling result and suggest some alternatives, such as 'too-big-to-fail.' For equity prices, we find strong effects of unexpected ratings changes and confirm prior evidence that stock prices may react very differently to ratings downgrades, depending on the underlying reason. Overall, our results suggest that ratings agencies may perform a useful role in summarising and obtaining non-public information on banks, at least for stockholders. JEL Classification: G21, G14, G18

The Australian Business Cycle: A Coincident Indicator Approach

This paper constructs coincident indices of Australian economic activity using techniques for estimating approximate factor models with many series, using data that begin in the early 1960s. The resulting monthly and quarterly indices both provide plausible measures of the Australian business cycle. The indices are quite robust to the selection of variables used in their construction, the sample period used in estimation, and the number of factors included. Notably, only a small number of factors is needed to adequately capture the business cycle. The coincident indices provide a much smoother representation of the cycle in economic activity than do standard national accounts measures, especially in the period prior to the early 1980s. Accordingly, they suggest that the marked decline in volatility evident in quarterly Australian GDP growth that occurred up to the 1980s may overstate the reduction in the volatility of economic activity and may at least partially reflect improvements in the measurement of GDP. Because the coincident indices present a smoother perspective of the business cycle in the 1960s and 1970s, they identify fewer recessions in this period than does GDP. Over the past 45 years, the coincident indices locate three recessions – periods when there was a widespread downturn in economic activity; in 1974–1975, 1982–1983 and 1990–1991.business cycle; factor models; coincident indicator; Australia