Australian businesses in China: searching for synergy

This article reports on an empirical, interpretive study conducted in 2001-2002 in the Beijing region of China. The case of the ‘Australians managing in Northern China’ is reported here. This research explores two major areas. First, it investigates the imilarities similarities and differences between Australian and Chinese cultures both at the national and corporate levels as the actors – the Australian managers and their Chinese colleagues – see them. Secondly, it studies how the actors are interacting to manage cultural issues in their organizations and whether synergies are emergent from their interactions. The article attempts to help managers and researchers gain a deeper understanding of the questions: what major cultural similarities and differences do Australian and Chinese managers perceive both inside and outside of their organizations; how do managers interact to effectively manage cultural issues in Australian businesses in China and how is synergy possible?     

Beyond the Information Technology Agreement: Harmonisation of Standards and Trade in Electronics

Product standards can have a dual impact on costs and, thus, on trade. They can impose costs on exporters as it may be necessary to adapt products for specific markets (cost effect). In contrast, standards can reduce exporters’ information costs as they convey information on product characteristics (informational effect). Using a new World Bank database of European standards for electronic products, we examine the net impact of internationally harmonised European standards on European Union imports. We find that European Union standards for electronic products that are harmonised to international standards have a significant and a positive net effect on trade. The results suggest that efforts to promote trade in electronic products could be complemented by steps to promote standards harmonisation. This might include, for example, restarting talks to extend the WTO’s Information Technology Agreement to commitments to harmonise national standards in electronic products.     

Banking sector development and interest rate volatility in emerging economies

Over the last decades, macroeconomic stability is said to be one of the major concerns of emerging economies. Financial sector as a core of macroeconomic stability has been under close consideration of policy makers. The relationship between interest rate uncertainty and banking sector development as one of the most important indicators of financial sector development, especially for emerging economies, has not received enough attention in the literature. Perhaps this article is the most comprehensive study that investigates the relationship between interest rate uncertainty and banking sector development for a large group of emerging economies. To do this, the short-run and long-run models using a bounds testing approach to cointegration for 12 emerging economies over the period 1980–2011 have been developed. Estimated results from all models indicate that interest rate uncertainty has significant effect on banking sector development in both short-run and long-run phenomena in the majority of countries. The findings indicate that the link between interest rate uncertainty and banking sector development in each country depends on each country’s specific structure.     

Dynamic effects of idiosyncratic volatility and liquidity on corporate bond spreads

We study the dynamic impact of idiosyncratic volatility and bond liquidity on corporate bond spreads over time and empirically disentangle both effects. Using an extensive data set, we find that both idiosyncratic volatility and liquidity are critical mainly for the distress portfolios, i.e., low-rated and short-term bonds; for others only volatility matters. The effects of volatility and liquidity shocks on bond spreads were both exacerbated during the recent financial crisis. Liquidity shocks are quickly absorbed into bonds prices; however, volatility shocks are more persistent and have a long-term effect. Our results overall suggest significant differences between how volatility and liquidity dynamically impact bond spreads.     

Learning and the disappearing association between governance and returns

The correlation between governance indices and abnormal returns documented for 1990–1999 subsequently disappeared. The correlation and its disappearance are both due to market participants' gradually learning to appreciate the difference between good-governance and poor-governance firms. Consistent with learning, the correlation's disappearance was associated with increases in market participants' attention to governance; market participants and security analysts were, until the beginning of the 2000s but not subsequently, more positively surprised by the earning announcements of good-governance firms; and, although governance indices no longer generated abnormal returns during the 2000s, their negative association with firm value and operating performance persisted.     

Properties of the Sample Autocorrelations of Nonlinear Transformations in Long-Memory Stochastic Volatility Models

The autocorrelations of log-squared, squared, and absolute financialreturns are often used to infer the dynamic properties of theunderlying volatility. This article shows that, in the contextof long-memory stochastic volatility models, these autocorrelationsare smaller than the autocorrelations of the log volatilityand so is the rate of decay for squared and absolute returns.Furthermore, the corresponding sample autocorrelations couldhave severe negative biases, making the identification of conditionalheteroscedasticity and long memory a difficult task. Finally,we show that the power of some popular tests for homoscedasticityis larger when they are applied to absolute returns.     

The International Business Cycle in a Changing World: Volatility and the Propagation of Shocks in the G-7

The changing relationships between the G-7 countries are examined through VAR models for quarterly growth, estimated over sub-periods and using a rolling data window. Trivariate models are employed, each including the US and a European (E15) aggregate. The results show that conditional volatility of growth has declined relatively more since 1980 for E15 than for the US, aggregate European shocks have increased impact on “core” European countries from around 1980, the effects of the US on Europe are largest during the 1970s and the late 1990s, and E15 has a steadily increasing impact on the US economy over time. JEL Classification Numbers: E32, F02, F43     

Information for decision making in marketing: the use of Group Support Systems (GSS)

Group Support Systems (GSS) Technology is an information technology which seeks to support collaborative work. Extensively used to support organisational activities, it has not yet been tested to the full within the market research setting. The paper reports on a GSS focus group meeting to determine key questions of concern about the National Training Reform Agenda. Participants were leaders in a primary industry in Australia and the questions would be related to a public relations exercise. GSS provided the opportunity to deal with complex issues efficiently and yet preserve the conversational characteristics of the focus group meeting.     

Truth and Robustness in Cross‐country Growth Regressions*

We re‐examine studies of cross‐country growth regressions by Levine and Renelt (American Economic Review, Vol. 82, 1992, pp. 942–963) and Sala‐i‐Martin (American Economic Review, Vol. 87, 1997a, pp. 178–183; Economics Department, Columbia, University, 1997b). In a realistic Monte Carlo experiment, their variants of Edward Leamer's extreme‐bounds analysis are compared with a cross‐sectional version of the general‐to‐specific search methodology associated with the LSE approach to econometrics. Levine and Renelt's method has low size and low power, while Sala‐i‐Martin's method has high size and high power. The general‐to‐specific methodology is shown to have a near nominal size and high power. Sala‐i‐Martin's method and the general‐to‐specific method are then applied to the actual data from Sala‐i‐Martin's original study.