• The Journal of Asian Finance, Economics and Business
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• v.8 no.5
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• pp.515-521
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• 2021

The popularity of Islamic financial instruments among Muslims is not surprising. The Islamic capital market is where sharia-compliant financial assets are transacted. It works parallel to the conventional market and helps investors find sharia-compliant investment opportunities. At a time of collective confusion when the COVID-19 epidemic is contributing to unprecedented change, this paper is keen to understand how attractive conventional and Islamic stock markets have been to investors recently. Second, this paper takes advantage of the time-scale decomposition property of the wavelet to simultaneously capture risk exposure and distinguish the risks faced by short- and long-term investors. To this end, this research conducted a two-step investigation of the daily closing equity market price indices for three Islamic stock markets and their conventional counterparts. Given that different financial decisions occur with greater or less frequency, the paper examines the connectedness of stock markets operating at heterogeneous rates and identifies the timescales using wavelet-DCC-GARCH analysis to take account of both the time and the frequency domains of stock market connectedness. The paper findings highlight the strong evidence of contagion that can be seen in nearly all conventional stock markets in the COVID-19 pandemic; they reach a high level of dependency in such health crises. Furthermore, Islamic stock markets prove to be a rich ground for global diversification.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.3
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• pp.171-179
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• 2021

In the international markets, financial variables can be volatile and may affect each other, especially in the crisis times. COVID-19, which began in China in 2019 and spread to many countries of the world, created a crisis not only in the global health system but also in the international financial markets and economy. The purpose of this study is to analyze the contagious effect of the COVID-19 pandemic on the volatility of selected financial variables such as Bitcoin, gold, oil price, and exchange rates and the connections between the volatilities of these variables during the pandemic. For this aim, we use the ARMA-EGARCH model to measure the impact of volatility and shocks. In other words, it is aimed to measure whether the impact of the shock on the financial variables of the contagiousness of the epidemic is also transmitted to the markets. The data was collected from secondary and daily data from September 2th 2019 to December 20th, 2020. It can be said that the findings obtained have statistically significant effects on the conditional variability of the variables. Therefore, there are findings that the shocks in the market are contaminated with each other.

• The Korean Journal of Financial Management
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• v.23 no.1
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• pp.193-225
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• 2006

The purpose of this paper is to analyze contagion in Asian foreign exchange markets using Extreme Value Theory and Copula. Our application deals with asymptotic dependence of daily exchange rate return for a sample of eight countries over period 1997.1.1-2005.4.13. The empirical results are summarized as follows. Firstly, Gumbel Copula is a good model to our data according to the value of AIC. Secondly, the extremal dependence between East Asian crisis countries became lower in the post crisis period than the crisis period. Thirdly, It seemed that high extremal dependence exists between East Asian countries with Singapore. Fourthly, the tail dependence between Indonesia, Malaysia, Thailand, Philippine became higher in the crisis period than the total period and post crisis period. Fifthly, the fact that the extremal dependence between Korea and Indonesia, Malaysia, Thailand, Philippine did not increase during the Asian Financial Crisis showed that the contagion effect was not the reason of the Korea's Fiancial Crisis. Sixthly, the extremal dependence between Asian exchange markets was not very high while comparing with the European exchange markets.

• KDI Journal of Economic Policy
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• v.28 no.1
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• pp.145-191
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• 2006

This paper studies implications of financial conglomeration for both financial risk of individual conglomerates and systemic risk potential in post-crisis Korea. Our analyses suggest that we cannot conclude that financial conglomerates are taking on higher risks relative to non-conglomerate independent institutions. We also find that larger financial institutions show a significantly higher profitability and lower variability in profitability operating on a superior efficient frontier. However, it turns out that the consolidation has raised systemic risk potential as direct and indirect interdependencies among large banking institutions have substantially increased. Furthermore, financial conglomerates have become more vulnerable to contagion risks from non-bank sectors and capital markets. In the face of the shifting risk structure, financial supervisory and regulatory systems must be upgraded toward a more risk-based, consolidated supervision. Prompt corrective action provision for financial conglomerates must be based upon fully consolidated group risks, and effective supervisory devices need to be introduced to avoid inadvertent extension of public safety net to cross-sectoral activities of financial conglomerates. It is also critical to strengthen internal control and risk management capacities at financial conglomerates, and to establish strong market discipline by improving information transparency and monitoring incentives in the financial market.

• SUVANNABHUMI
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• v.14 no.2
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• pp.27-59
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• 2022

During the past two decades, the Southeast Asian region has experienced a range of major crises. Service industries such as tourism and the marginal and migrant laborers who work in them have usually been at the sharp end of these testing events, from natural and environmental disasters, epidemics and pandemics, global financial slumps, terrorism, and political conflict. The latest challenge is the "Novel Coronavirus" (Covid-19/SARS-CoV-2) pandemic. It has already had serious consequences for Southeast Asia and its tourism development and these will continue for the foreseeable future. Since the SARS epidemic of 2002-2004, Southeast Asian economies have become integrated increasingly into those of East Asia (China, Japan, South Korea, Taiwan, Hong Kong). This paper examines one of the most significant current crises, Covid-19, and its consequences for Southeast Asia, its tourism industry, and its workers, comparing experiences across the region, and the issues raised by the over-dependence of some countries on East Asia. In research on crises, the main focus has been on dramatic, unpredictable natural disasters, and human-generated global economic downturns. Not so much attention has been devoted to disease and contagion, which has both natural and socio-cultural dimensions in origins and effects, and which, in the case of Covid-19, evoke a pre-crisis period of normality, a liminal transition or "meantime" and a post-crisis "new normality." The transition is not straightforward; in many countries, it operates as a set of serial lockdowns and restrictions, and to predict an uncertain future remains difficult.

• Health Policy and Management
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• v.29 no.3
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• pp.312-322
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• 2019

Background: Since 2003, Korea has consistently shown the highest suicide rate among the Organization for Economic Cooperation and Development countries, and suicide remains the major cause of death. In particular, men are 2-3 times more likely to commit suicide than women, which called the 'gender paradox of suicide.' The areas with frequent suicide have spatially clustered patterns because suicide with a social contagion spreads around the neighborhood. The purpose of this study was twofold. The first was to estimate the hotspot areas of age-standardized male suicide mortality from 2008 to 2015. The second was to analyze the relationship between the hotspot areas and the regional characteristics for study years. Methods: The data was collected through the Korean Statistical Information Service. The study areas were 227 si gun gu administrative districts in Korea. The hotspot area was used as a dependent variable. Socio-demographic variables (number of marriages per 1,000 population, number of divorces per 1,000 population, and urbanization rate), financial variables (financial independence and social security budget), and health behaviors (EuroQol-5 dimension [EQ-5D], and depression experience rate) were used as independents variables. Results: The hotspot areas were commonly located in Gangwon-do, Chungcheongnam-do, Gyeongsangbuk-do, and Chungceongbuk-do. According to the results of panel logit regression, the number of divorces per 1,000 population, social security budget, and EQ-5D were statistically significant variables. Conclusion: The results of hotspot analysis showed the need for establishing a prevention zone of suicide using hotspot areas. Also, medical resources could be considered to be preferentially placed in the prevention zone of suicide. This study could be used as basic data for health policymakers to establish a suicide-related policy.

• International Area Studies Review
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• v.14 no.3
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• pp.62-84
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• 2010

Accurate forecasting of volatility is of considerable interest in financial volatility research, particularly in regard to portfolio allocation, option pricing and risk management because volatility is equal to market risk. So, we attempted to delineate a model with good ability to forecast and identified stylized features of volatility, with a focus on volatility persistence or long memory in the Australian futures market. In this context, we assessed the long-memory property in the volatility of index futures contracts using three conditional volatility models, namely the GARCH, IGARCH and FIGARCH models. We found that the FIGARCH model better captures the long-memory property than do the GARCH and IGARCH models. Additionally, we found that the FIGARCH model provides superior performance in one-day-ahead volatility forecasts. As discussed in this paper, the FIGARCH model should prove a useful technique in forecasting the long-memory volatility in the Australian index futures market.