The shifting dependence dynamics between the G7 stock markets

The growing interdependence between financial markets has attracted special attention from academic researchers and finance practitioners for the purpose of optimal portfolio design and contagion analysis. This article develops a tractable regime-switching version of the copula functions to model the intermarkets linkages during turmoil and normal periods, while taking into account structural changes. More precisely, Markov regime-switching C-vine and D-vine decompositions of the Student’s t copula are proposed and applied to returns on diversified portfolios of stocks, represented by the G7 stock market indices. The empirical results show evidence of regime shifts in the dependence structure with high contagion risk during crisis periods. Moreover, both the C- and D-vines highly outperform the multivariate Student’s t copula, which suggests that the shock transmission path is as important as the dependence itself, and is better detected with a vine copula decomposition.     

The spillover effect of the US uncertainty on emerging economies: a panel VAR approach

The article quantifies the spillover effects of the United States’ (US) uncertainty shocks on emerging economies, using a panel VAR model. We find that the US uncertainty shocks are the risks, and hence drop the capital inflow, investment, consumption, export and output of emerging economies. This also induces a depreciation of emerging market currencies. As a result, our model predicts a fall in short-term interest rate of emerging economies to react against the US uncertainty shocks. Our findings partly help explain the slow recovery of the world economy after the 2008–2009 global financial crisis.     

Effective derivative hedging and initial public offering long‐run performance

We investigate the role of corporate currency risk management through the use of financial derivatives in influencing the long‐run performance of a sample of Australian resources companies. We find that derivative users generally outperformed nonderivative users in the 5‐year period following listing. Effective derivative users consistently outperformed the nonhedgers. Furthermore, within the population of derivative users, effective derivative users tended to perform better than ineffective hedgers. Our results indicate that effective financial risk management plays a role in long‐run IPO performance.     

Controls as a Sharable Knowledge Commodity: An Architecture for Open Exchange

The world seems to be getting more dangerous: terrorists; fraudulent corporations; money laundering; hurricanes; pandemics. Governments and organizations respond with a flurry of new controls. In some cases these are centrally mandated (e.g. Sarbanes Oxley). In others, organizations struggle to find their own control solutions. Seldom, however, do organizations work together as a community of common interests to share solutions to their control threats. In this paper we consider how an open exchange of control solutions might be supported electronically. We assume a community of similar organizations that wish to exchange detailed knowledge about organizational control techniques. These might be non-competing institutions, such as libraries, customs agencies, and even universities; or, they may in fact be competing organizations, wishing to exchange control solutions in dimensions where they do not compete – e.g. the airlines exchanging best practice about safety and security. The main point is to propose an information technology architecture that permits a view of organizational controls as shareable, exchangeable knowledge commodities.     

Does poverty lead to non-fatal unintentional injuries in rural Vietnam?

The aim of this study was to identify associations between poverty at the household level and unintentional injury morbidity. A cohort consisting of 24,874 person-time episodes, representing 24,776 people living in 5,801 households (classified into rich, middle income and poor by local authorities in 1999) was followed during 2000, in order to identify and assess non-fatal unintentional injuries. Incidence rate ratios were calculated using a Poisson regression model. The results showed that poverty was a risk factor for unintentional injuries generally. When looking at different types of injury, poverty was a risk for home, work and "other" injuries, protective for school injuries, while the risk of traffic injuries was not affected. The results also showed that communes in mountainous areas were at higher risk for home, work and other injuries. Overall, poverty was associated with unintentional injury morbidity. However, the relationship varied by sex, age and type of injury. Specifically, poverty increased the risk for children and elderly people being injured at home, and for adults (15-59 years) being affected by work injuries.     

The wealth effect and diamond risk structure of financial regulation

The objective of this article was to evaluate the effect of announcements of financial regulation on risk and return in the Vietnamese equity market. The techniques used for the purpose of analysing risk and return include event study and non-parametric tests, as well as asset pricing models supplemented with interaction variables and a variety of ARCH-like specifications such as GARCH, TARCH, EGARCH and PARCH. We find evidence for the wealth effect, the presence of delayed response and a risk shifting behaviour in the form of diamond risk structure. Our results show that abnormal returns are present around the announcements of operating rules and other stock market regulations. Abnormal returns can also be obtained after considering legal documents such as circulars and decisions.     

越南税收行政改革

该文分析了越南税收行政改革取得的突破性进展,提出了新时期税收行政改革的基本方向和措施。     

Racial/ethnic match and student–teacher relationships

This paper explores the role of teacher race/ethnicity in the teacher-perceived relationships with kindergarten and early elementary school students. Employing a model with both student and teacher fixed effects, we discover a positive link between the racial/ethnic match and the teacher-reported relationships with students. Specifically, minority students tend to have closer relationships with their teachers when they are taught by a minority teacher. Our analyses also provide suggestive evidence that the effects on the teacher–student relationships could not be driven by differential racial discrimination between white and minority teachers. Particularly, white and minority teachers are not differentially biased in judging their relationships with minority students, implying that the source of the racial/ethnic interaction effects is likely to come from the role modeling of behaviors. Given the importance of the relationships between young children and nonparental adults in their early stages of life, these findings have crucial policy implications.     

Forecasting high-frequency excess stock returns via data analytics and machine learning

Borsa Istanbul introduced data analytics to present additional information about its market conditions. We examine whether this product can be utilized via various machine learning methods to predict intraday excess returns. Accordingly, these analytics provide significant prediction ratios above 50% with ideal profit ratios that can reach up to 33%. Among all the methods considered, XGBoost (logistic regression) performs better in predicting excess returns in the long-term analysis (short-term analysis). Results provide evidence for the benefits of both the analytics and the machine learning methods and raise further discussion on the semistrong market efficiency.     

Trade diversion effects of the US–China trade war on Vietnam

This paper empirically examines the US–China trade war that began in mid-2018, focusing on the impact on a third country, Vietnam. Using regression analysis, we found that while the trade war had a negative impact on US imports from China for all targeted products, there was a partial offset from increased imports from other countries. Notably, US imports from Vietnam experienced a sharp increase, particularly after the third round of US import tariffs on Chinese goods. Additionally, our research reveals that the four rounds of tariff escalation affected US imports from China differently depending on their end-use and technology intensity.