Highlights We investigate the tail-dependency networks of 51 financial assets. The extreme quantile coherency is estimated using the quantile cross-spectral analysis and the tail-dependency network is built using the force-directed layout algorithm. The Covid-19 pandemic asymmetrically increases the network density, with stronger effects in the left-tail dependencie of asset returns. The cross-asset tail-dependency of equity, currency and commodity increases considerably, implying a higher degree of tail contagion effects. Bitcoin and US Treasury bonds are disconnected from both tail-dependency networks, suggesting their safe-haven characteristics.

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PurposeThe authors provide a comprehensive study on systemic risk of the banking sectors in the ASEAN-6 countries. In particular, they investigate the systemic risk dynamics and determinants of 49 listed banks in the region over the 2000–2018 period.Design/methodology/approachThe authors employ the market-based SRISK measure of Brownlees and Engle (2017) to investigate the systemic risk of the ASEAN-6's banking sectors.FindingsThe authors find that the regional systemic risk fluctuates significantly and currently at par or higher level than that of the recent global financial crisis. Systemic risk is generally associated with banks that have bigger size, more traditional business models, lower quality in their loan portfolios, less profitable and with lower market-to-book values. However, these relationships vary significantly between ASEAN countries.Research limitations/implicationsThe research focuses on the systemic risk of ASEAN-6 countries. Therefore, the research results may lack generalizability to other countries.Practical implicationsThe authors’ empirical evidence advocates the use of capital surcharges on the systemically important financial institutions. Although the region has been pushing to higher financial integration in recent years, the authors encourage the regional regulators to account for the idiosyncratic characteristics of their banking sectors in designing effective macroprudential policy to contain systemic risk.Originality/valueThis paper provides the first study on the systemic risk of the ASEAN-6 region. The empirical evidence on the drivers of systemic risk would be of interest to the regional regulators.

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This paper concentrates on examining the impact of the credit boom (2007)(2008)(2009)(2010) on the soundness of the commercial banking system in Vietnam by using qualitative and quantitative methods. The results show that the credit boom in the period 2007-2010 had made Vietnam's banking system face many uncertainties such as difficulties in liquidity, increased non-performing loans... The influence of the credit boom on Vietnam's banking system is assessed on basic aspects such as asset quality, profitability, liquidity, capital adequacy... The quantitative analysis of the impact is made through the regression model using variables that show the characteristic of individual commercial bank and the volatility of the economy. The data is collected from 18 commercial banks in Vietnam in the period from 2005 to 2013, taken from the database BankScope and supplemented by information from the annual financial reports of the banks. Finally, in order to avoid the possibility of credit booms in the future and their effects on bank soundness in Vietnam, some recommendations related to credit growth are proposed for the authorities and the commercial banks.

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PurposeThe authors investigate the impacts of international capital inflows on bank lending in the Association of Southeast Asian Nations-6 (ASEAN-6) countries on the dynamics of both bank loan volumes and credit risk-taking. The authors further explore the heterogenous impacts of different components of the foreign capital. As a robustness check, the authors also examine the role of crisis periods and agency problem on the relationship between international capital inflows and bank lending.Design/methodology/approachThe authors explore the impacts of international capital inflows on bank lending in the ASEAN-6 countries, including Malaysia, Indonesia, Thailand, Philippines, Singapore and Vietnam. The authors employ quarterly data from 2005Q1 to 2021Q2 from 45 commercial banks in the ASEAN-6 countries. The article uses bank-fixed and time-fixed effects in the panel dataset to account for any unobserved heterogeneity.FindingsThe authors find that capital inflows to the ASEAN-6 countries are associated with higher bank loan growth and lower loan loss provisions to net interest income ratios. Moreover, the positive relationships between capital inflows to the bank loan growth and credit risk-taking are mainly driven by the dynamics in foreign direct investments (FDIs) and other inflow (OI) components. Contrary to the global financial crisis (GFC), the authors note that the mediating role of capital inflows on bank lending is of particular importance in the COVID-19 pandemic.Research limitations/implicationsThis study has some limitations that provide vendors for future research. First, while the authors focus on the impact of capital inflows on bank-level lending activities, future research can also explore the role of foreign capital on bank efficiency and financial stability. Second, although foreign capital fluctuates the most during crisis periods, the movement of capital inflows is also sensitive to other periods of heightened global uncertainty. Thus, rather than focus on the behavior of foreign capital during crisis periods, future research can examine and explore the impacts of capital inflows in different periods of “stop” and “surge” for sudden contraction and boom in capital inflows to the ASEAN-6 countries.Originality/valueFirst, the authors provide a comprehensive analysis of international capital inflows' impact on bank lending in the ASEAN region on both bank loan volumes and credit risk-taking. Second, the authors provide evidence of the impact of different forms of foreign capital on the bank lending. Third, the authors investigate the heterogeneous impact of foreign capital on crisis periods and bank sizes, which the authors emphasize the unusual characteristics of the COVID-19 crisis compared with the GFC.

We seek the best skewness models for portfolio choice decisions. To this end, we compare the predictive ability and portfolio performance of several prominent skewness models in a sample of 10 international equity market indices. Overall, models that employ information from the option markets outperform models that only rely on stock returns. We propose an optionbased skewness estimator that accounts for the skewness risk premium. This estimator offers the most informative forecasts of future skewness, the lowest prediction errors, and the best portfolio performance in most of our tests.