• Economic Analysis
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• v.25 no.3
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• pp.100-137
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• 2019

In this study, I analyzed the effects of government spending on macro variables and on each industry by using a factor augmented vector autoregressive model (FAVAR) and 167 macro-variables in Korea since 2000. The results reveal that the effects of two types of government spending - government consumption and government investment - greatly differ, therefore it is better to consider the two types of spending separately for a more precise analysis. The stimulus effects of government consumption are clear, but those of government investment are not. In addition, the crowding-out effects of government spending take place through the current account deficit channel rather than the traditional crowding-out channel, reducing private consumption and investment. Both types of government spending show a positive effect on the construction industry. Also, an increase in government consumption stimulates output in various manufacturing and service sectors.

• Journal of Information Processing Systems
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• v.20 no.1
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• pp.93-104
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• 2024

China is playing more predominant role in the liquefied natural gas (LNG) market worldwide and LNG import price is subject to various factors both at home and abroad. Nevertheless, previous studies rarely heed a multiple of factors. A time-varying parameter factor augmented vector auto-regression (TVP-FAVAR) model is adopted to discover the determinants of China's LNG import price and their dynamic impacts from January 2012 to December 2021. According to the findings, market fundamentals have a greater impact on the import price of natural gas in China than overall economic demand, financial considerations, and world oil prices. The primary determinants include domestic gas consumption, consumer confidence and other demand-side information. Then, there are diverse and time-varying spillover effects of the four common determinants on the volatility of China's LNG import price at different intervals and time nodes. The price volatility is more sensitive and long-lasting to domestic natural gas pricing reform than other negative shocks such as the Sino-US trade war and the COVID-19 pandemic. The results in this study further proves the importance of domestic natural gas market liberalization. China ought to do more to support the further marketization of natural gas prices while working harder to guarantee natural gas supplies.

• KDI Journal of Economic Policy
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• v.39 no.3
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• pp.43-62
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• 2017

This paper proposes an integrated risk-management framework that includes 1) measuring the risk of credit portfolios, 2) implementing a (macro) stress test, and 3) setting risk limits using the estimated systematic latent factor specific to capture the housing market cycle. To this end, we extract information from a set of real-estate market variables based on the FAVAR methodology proposed by Bernanke, Boivin and Eliasz (2005). Then, we show the method by which the estimated systematic factor is applied to risk management in the housing market in an integrated manner within the Vasicek one-factor credit model. The proposed methodology is well fitted to analyze the risk of slow-moving and low-defaultable forms of capital, such as alternative investments.

• East Asian Economic Review
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• v.20 no.3
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• pp.339-363
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• 2016

This paper analyzes why the global financial crisis in 2008 severely affected Asia's trade. Asia has been suffering from the falls in export demand from developed countries. However the abrupt trade declines in Asia are not fully explained by reactions to this as in previous experiences. The question is why the financial crisis in 2008 brought about the abrupt and deep collapse in world trade, while other world-wide recessions had more moderate effects on world trade. This paper shows that the dynamic relationship between trade and trade finance is one important factor in explaining this question. This paper also applies the Granger (causality) test to uncover different relationships in the developed and developing economies and show different results for different countries in Asia. We employ a Markov-Switching FAVAR (Factor Augmented VAR) to show that global liquidity shocks are important factors in explaining the huge and abrupt trade drops in Asia.