Investors’ heterogeneous beliefs and the impact of sovereign credit ratings in foreign exchange and equity markets

We propose a model in which sovereign credit news from multiple rating agencies interacts with market heterogeneity. The model illustrates that the first messenger discloses new information while additional messengers play an important role of coordinating heterogeneous beliefs. Empirical investigations based on sovereign credit ratings, foreign exchange and equity markets confirm that rating news coordinates investors’ beliefs. Sovereign credit rating news from both types of messenger induces a significant impact on exchange rates and stock indices. Volatility measures increase in response to news from the first messenger while ex-post volatility reduces following news from an additional messenger.     

Dynamic Properties of Income Support Receipt in Australia

Using administrative records on Australian income support (welfare) recipients over the period July 1995 to June 2002, we examine dynamic properties of income support receipt and the personal characteristics associated with alternative patterns of receipt. We draw on three concepts: churning–the process of ending a spell on income support and subsequently commencing a new spell; transferring–moving from one payment type to another within a spell on income support; and Total Time On payments (TTO)–the proportion of time on income support in a given period. We find that churning and transferring are significant features of income support receipt in Australia. For example, over half of recipients churn within five years of commencing an income support spell, and one‐fifth make a payment transfer within the same time frame. Examination of the characteristics associated with each of five distinct patterns of receipt reveals substantial differences in patterns by age, family composition, unemployment status, health status, and recent history of income support receipt.     

Differences of opinion in sovereign credit signals during the European crisis

Motivated by the European debt crisis and the new European Union regulatory regime for the credit rating industry, we analyse differences of opinion in sovereign credit signals and their influence on European stock markets. Rating disagreements have a significant connection with subsequent negative credit actions by each agency. However, links among Moody’s/Fitch actions and their rating disagreements with other agencies have weakened in the post-regulation period. We also find that only S&P’s negative credit signals affect the own-country stock market and spill over to other European markets, but this is concentrated in the pre-regulation period. Stronger stock market reactions occur when S&P has already assigned a lower rating than Moody’s/Fitch prior to taking a further negative action.     

Sectoral analysis of foreign direct investment and growth in the developed countries

Empirical studies on foreign direct investment (FDI) and growth in developed countries have yielded conflicting results using cross-country regressions. We use sectoral data for a group of six country members of the OECD. Our paper is the first to identify the sector-specific impact of FDI on growth in the developed countries. Our results show that FDI has positive, or no statistically discernible, effect on economic growth directly and through its interaction with labor. Moreover, we find the effects seem to be very different across countries and economic sectors.     

News shocks and Japanese macroeconomic fluctuations

Are the changes in the future technology process, the so-called “news shocks,” the main contributors to the macroeconomic fluctuations in Japan over the past forty years? In this paper, we take two structural vector-auto-regression (SVAR) approaches to answer this question. First, we quantitatively evaluate the relative importance of news shocks among candidate shocks, estimating a structural vector-error–correction model (SVECM). Our estimated results suggest that the contribution of the TFP news shocks is nonnegligible, which is in line with the findings of previous works. Furthermore, we disentangle the source of news shocks by adopting several kinds of restrictions and find that news shocks on investment-specific technology (IST) also have an important effect. Second, to minimize the gap between the SVAR approach and the Bayesian estimation of a dynamic stochastic general equilibrium model, we adopt an alternative approach: SVAR with sign restrictions. The SVAR with sign restrictions reconfirms the results that the news shocks are important in explaining the Japanese macroeconomic fluctuations.     

Child injury prevention in Vietnam: achievements and challenges

As with other South Asian countries, injury is becoming a leading cause of death and morbidity among children in Vietnam. In response to the increasing burden of child injury, government and non-government agencies in Vietnam have combined efforts during the last decade to develop and implement various child injury prevention strategies and programmes. This article provides, through a review of relevant documents and interviews with major stakeholders, an overview of these efforts and highlights major challenges to child injury prevention in the country. The findings point to notable achievements in terms of increasing awareness of injury facing children at all levels in the community and developing a sound injury prevention policy framework in a relatively short period of time. However, much needs to be done to implement necessary environmental and legislative changes, strengthen child injury surveillance and injury prevention research; and to improve access to health services. The insight into the experience of Vietnam could benefit other low- and middle-income countries with a high burden of child injury.     

The effects of reputation and relationships on lead banks’ certification roles

We investigate the certification roles of lead bank retention in US syndicated loans with respect to interest rates, then explore how lead banks’ reputation and previous relationships with the borrower alter such certification effects. Our findings support the certification hypothesis. Loan spreads are found to decrease with a higher retention ratio, after controlling for the endogeneity of loan price and retention. The magnitude of certification effect is reduced when the lead bank is a more reputable lender and when there are prior bank–borrower relationships. Lead bank reputation and prior lending relationships can therefore substitute for the need to certify.     

Firms and regional favouritism

Using an unbalanced panel of 539 Vietnamese districts from 2000 to 2010 and the corresponding politicians’ profiles, we examine firm behaviour in response to favouritism by top-ranking politicians towards their districts of birth. Results show that the number of firms tend to increase in the home districts of politicians after they assume office. This favouritism is particularly pronounced for private domestic firms, construction firms and rural areas. However, state-owned firms are indifferent. We discuss the non-response of state-owned firms, potential mechanisms and channels behind the statistical results.     

Incorporating Both Positive and Negative Association Rules into the Analysis of Outbound Tourism in Hong Kong

This article presents a novel approach to data mining that incorporates both positive and negative association rules into the analysis of outbound travelers. Using datasets collected from three large-scale domestic tourism surveys on Hong Kong residents' outbound pleasure travel, different sets of targeted rules were generated to provide promising information that will allow practitioners and policy makers to better understand the important relationship between condition attributes and target attributes. This article will be of interest to readers who want to understand methods for integrating the latest data mining techniques into tourism research. It will also be of use to marketing managers in destinations to better formulate strategies for receiving outbound travelers from Hong Kong, and possibly elsewhere.     

Nonlinearity and Low Deterministic Chaotic Behavior in Insurance Portfolio Stock Returns

This article presents new empirical evidence indicating a deterministic component in the portfolio return dynamics of life‐health and property‐liability insurance company stocks. Our research is motivated by the fact that nonlinearities are a fact of economic life for many financial applications the source of which is logically apparent, yet empirical evidence of their existence is at best weak. The primary reason attributed to the weak findings of nonlinearities reported in previous research is the use of aggregate data that can hide nonlinearities at the micro level. Insurance sector stock returns are analyzed because unique institutional characteristics indicate the possibility of identifying nonlinear dynamics. Tests based on the correlation dimension partially confirm the presence of nonlinearity. However, the more powerful Brock, Dechert, and Scheinkman (BDS) statistic strongly suggests the presence of nonlinearities in the insurance stock portfolio data. The BDS statistic applied to the standardized residuals of exponential generalized auto regressive conditional heteroskedasticity (EGARCH) models strongly rejects the null of independent and identically distributed, indicating that conditional heteroskedasticity is not responsible for the presence of the nonlinear structures in the data. In addition, tests for chaos based on locally weighted regressions indicate that insurance stock portfolio returns indicate low‐complexity chaotic behavior. This is an important result since most previous research has failed to report evidence of chaotic behavior in the time series of stock returns. Important contributions of this article are the application of tests of nonlinearities and chaos to more desegregated data sets and the findings of statistically significant evidence indicating nonlinearities and low‐deterministic chaotic behavior in insurance stock portfolio returns.