• Title/Summary/Keyword: Business Cycle Synchronization

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The Effect of Trade Integration on Business Cycle Synchronization in East Asia

  • NGUYEN, Vinh Thi Hong;HOANG, Thuy Thi Thanh;NGUYEN, Sang Minh
    • The Journal of Asian Finance, Economics and Business
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    • v.7 no.8
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    • pp.225-231
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    • 2020
  • The paper aims to investigate the impact of trade integration on business cycle synchronization for the East Asian countries during 2005- 2017 based on the endogeneity hypothesis of Optimum Currency Area criteria. We test the determinants of business cycles by calculating bilateral trade, financial integration, and business cycle synchronization. Applying the system Generalized Method of Moments for dynamic panel data models, the results show that business cycle synchronization is highly associated with trade and financial integration. These findings confirm the endogeneity hypothesis that more trade integration will mitigate asymmetric shocks, and have a positive impact on the business cycle synchronization. The increased trade intensity and financial linkage lead to more correlated business cycles in East Asia. Apart from trade and financial integration, the trade structure differential, monetary policy similarity also influence the business cycle comovement. The significantly negative impact of trade structure differential on business cycle synchronization suggests that countries with less similar structures are more likely to undergo asymmetric shocks. The results also indicate that monetary policy matters for output comovement. This study recommends that the East Asian countries should focus on bilateral trade as well as financial integration with each other to reap benefits from the integration process.

Regional Business Cycles in East Asia: Synchronization and its Determinants

  • Park, Young-Joon
    • East Asian Economic Review
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    • v.17 no.2
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    • pp.103-128
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    • 2013
  • This paper analyzes the dynamics and nature of regional business cycle synchronization for East Asian countries in the period of 2000:Q1-2011:Q4. Estimating a dynamic two-factor model extracts the common factor and the nation-specific factor from both the macroeconomic aggregates and plausible driving forces of regional business cycles. Evidence for regional business cycle synchronization is particularly strong for Korea, Malaysia and the Philippines, while Japan shows weak evidence of regional synchronization. On the other hand, Indonesia, Thailand, Singapore and China are decoupling from regional business cycles. The driver of monetary aggregate is the most significant determinant of regional fluctuations of macroeconomic aggregates, whereas oil price and productivity are on average important driving forces of nation-specific fluctuations of real economic activities.

Business Cycle Synchronization between the European Union and Korea

  • Jiyoun An;In Huh
    • East Asian Economic Review
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    • v.27 no.4
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    • pp.327-346
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    • 2023
  • In the recent 20 years, the capital flows between Korea and European Union have increased and diversified. In particular, the business cycles of two economies have shown similar patterns since the Global Financial Crisis. This study examines both trends and investigates the roles of finance and trade on business cycle co-movements between two economies. The empirical results show that the business cycles can diverge due to either the common shocks or the country-specific shocks. Furthermore, financial integration increases the business cycle co-movements driven by both the country-specific shocks and the common shocks between two economies.

Permanent and Transitory Factors of the Business Cycle in the NAFTA Region (NAFTA 지역 경기변동의 영구적 요인과 일시적 요인)

  • Kim, Jan R.
    • International Area Studies Review
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    • v.15 no.3
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    • pp.55-76
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    • 2011
  • In this paper, we estimate a model that incorporates key features of business cycles, co-movement among economic variables and switching between regimes of expansion and recession, to aggregate quarterly data for the NAFTA region. Two common factors reflecting the permanent and transitory components of the business cycle in the region, along with the turning points from one regime to the other, were extracted from the data by using the Kalman filter and maximum likelihood estimation approach of Kim (1994). Estimation results confirm that a typical aspect of business cycles are also observed (i.e., recessions are steeper and shorter than recoveries) in the region, and that both co-movement and that regime switching are found to be important features of the business cycle. The two common factors produce sensible representations of the trend and cycle, and the estimated turning points are in line with independently determined chronologies. It also turns out that the degree of synchronization between the NAFTA region and Korea, has significantly increased since the entry into force of the NAFTA.

The Synchronization of ASEAN +3 Business Cycles: Prerequisites for Common Currency Union

  • RIYANTO, Feri Dwi;ERLANDO, Angga;HARYANTO, Tri
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.3
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    • pp.781-791
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    • 2021
  • This study aims to analyze the relationship between the business cycles of the ASEAN +3 countries. In addition, the effects of the spillover value on the coincident indicators are determined. This study employs secondary data and uses multivariate time series of five ASEAN countries, namely, Indonesia, Malaysia, Singapore, Thailand, and the Philippines. The proxy was the real gross domestic product (GDP) collected annually from the CEIC, the IMF, and the World Bank for the period from 1964 to 2016. The data was plotted against two time periods, 1964-1998 as the pre-crisis period, and 1999-2016 as the post-crisis period. The index data was changed to the base year 2010. The data was subsequently separated from the trends and the cyclic components. The cyclic components were obtained by using Hondrick-Prescott filter, and them were further analyzed. The analytical method used was Contemporaneous and Cross-Correlation tools. The results showed that, before and after the crisis, the value of the business cycle correlation between ASEAN +3 countries was stronger and moved together at the same level of lag value. The implication of this research was an initial finding of the ASEAN +3 countries' prerequisites for the formation of a common currency.

Re-engineering Distribution Using Web-based B2B Technology

  • Kim, Gyeung-min
    • Journal of Distribution Research
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    • v.6 no.1
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    • pp.22-35
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    • 2001
  • The focus of Business Process Re-engineering (BPR) has been extended to inter-business process that cuts across independent companies. Combined with Supply Chain Management (SCM), inter-business process reengineering (IBPR) focuses on synchronization of business activities among trading partners to achieve performance improvements in inventory management and cycle time. This paper reviews the business process reengineering movement from the historical perspective and presents a case of inter-business process reengineering using the latest internet-based Business-to- Business (B2B) technology based on Collaborative Planning, Forecasting, and Replenishment (CPFR). The case demonstrates how CPFR technology reengineers the distribution process between Heineken USA and its distributors. As world's first implementor of web-based collaborative planning system, Heineken USA reduces cycle time from determining the customer need to delivery of the need by 50% and increases sales revenue by 10%. B2B commerce on the internet is predicted to grow from $90 billion in 1999 to $2.0 trillion in 2003. This paper provides the management with the bench-marking case on inter-business process reengineering using B2B e-commerce technology.

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Analysis of the Synchronization between Global Dry Bulk Market and Chinese Container Market (글로벌 건화물 운임시장과 중국 컨테이너 운임시장 간의 동조성 분석)

  • Kim, Hyun-Sok;Chang, Myung-Hee
    • Journal of Navigation and Port Research
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    • v.41 no.1
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    • pp.25-32
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    • 2017
  • The purpose of this investigation is to analyze the synchronization between the representative global freight index, the Baltic Dry bulk Index (BDI) and the China Container Freight Index (CCFI) with monthly data from 2000 to 2016. Using the non-stationarity of the business cycle that is able to include common trends, we employ the Engle-Granger 2 stage co-integration test and found no synchronization. On the contrary, we additionally estimated the causality between the markets and revealed the causality, which implies that the Chinese economy has a significant effect on the global market. The results of this empirical analysis demonstrate that the CCFI of China is appropriate for analyzing the shipping industry. In practice, this means that it is more appropriate to include CCFI in the global market outlook than use it as a substitute for the global freight rate index, the BDI. This is a case study of the synchronization of the economic fluctuations of the shipping industry. It suggests that the economic fluctuations of China need to be considered in the unstable global market forecast. In particular, this case applies to the fluctuations in the shipping industry synchronism and provides important results in scientific terms.

System Dynamics Approach for the Forecasting KOSPI (시스템다이내믹스를 활용한 종합 주가지수 예측 모델 연구)

  • Cho, Kang-Rae;Jeong, Kwan-Yong
    • Korean System Dynamics Review
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    • v.8 no.2
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    • pp.175-190
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    • 2007
  • Stock market volatility largely depends on firms' value and growth opportunities. However, with the globalization of world economy, the effect of the synchronization in major countries is gaining its importance. Also, domestically, the business cycle and cash market of the country are additional factors needed to be considered. The main purpose of this research is to attest the application and usefulness of System Dynamics as a general stock market forecasting tool. Throughout this research, System Dynamics suggests a conceptual model for forecasting a KOSPI(Korea Composite Stock Price Index), taking the factors of the composite stock price indexes in traditional researches. In conclusion of this research, System Dynamics was proved to bean appropriate model for forecasting the volatility and direction of a stock market as a whole. With its timely adaptability, System Dynamic overcomes the limit of traditional statistic models.

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