• Culinary science and hospitality research
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• v.22 no.3
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• pp.212-223
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• 2016

The purpose of this study is to verify information spillover effects using returns of macroeconomic variables and hotel leisure stock index daily data from January 4, 2000 to December 30, 2015. The findings and implications of the research can be summarized as follows. First, based on time-varying AR(1)-GARCH(1,1) models no evidence of statistically significant conditional mean and volatility spillover effects from returns of macroeconomic variables on the hotel leisure stock index was observed. In addition, no evidence of price volatility spillover from macroeconomic variables on the hotel leisure market was observed. Second, it was discovered that there exists a significantly negative relationship between the return of ER and hotel leisure stock prices, but a positive relationship between the KOSPI and hotel leisure stock prices. Finally, the study also found that was a significantly positive relationship between the volatility of DUB and hotel leisure market, and an adversely negative relationship between the volatility of ER and hotel leisure market. The results of this study are expected to contribute by providing useful information for investment strategies, as well as for risk management for investors and managers.

• Korean Journal of Legislative Studies
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• v.17 no.3
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• pp.29-62
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• 2011

이 글은 2010년 이후 복지가 정치의 중요한 쟁점이 된 사회경제의 구조와 정치과정에 관한 연구이다. 2010년 이후 갑자기 활발해진 복지정치를 선거와 정당을 중심으로 살펴보고자 하며, 그 내용은 다음과 같다. 첫째, 복지에 대한 국민의 관심이 다른 경제정책이나 안보문제를 능가할 정도로 커진 원인을 1998년 외환위기 이후 사회경제의 거시구조적 변화를 통해 살펴보았다. 둘째, 2010년 중반이후 정당들의 복지확대 경쟁을 선거승리를 위한 정치적 동학의 측면에서 정리하였다. 셋째, 만약 선거와 정당을 중심으로 하는 복지정치가 복지정책과 정당체계의 수렴을 수반한다면 한국의 복지모형에 어떤 변화가 있을 수 있는지를 짚어 보았다.

• Korea Real Estate Review
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• v.28 no.2
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• pp.21-34
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• 2018

The purpose of this study is to investigate the effect of macro-finance variables on the correlation between the housing and stock markets because understanding the nature of time-varying correlations between different assets has important implications on portfolio allocation and risk management. Thus, we adopted the AG-DCC GARCH model to obtain time-varying, conditional correlations. Our sample ranged from January 2004 to November 2017. Our empirical result showed that the coefficients on asymmetric correlation were significantly positive, implying that correlations between the housing and stock markets were significantly higher when changes in the housing price and stock returns were negative. This finding suggested that the housing market has less hedging potential during a stock market downturn, when such a hedging strategy might be necessary. Based on the regression analysis, we found that the term spread had a significantly negative effect on correlations, while the credit spread had a significantly positive effect. This result could be interpreted by the risk premium effect.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.12 no.3
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• pp.192-200
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• 2019

This paper is analyzed causality using cointegration test and impact response after deriving a causality between direct overseas purchasing and sale and macroeconomic variables. The model used for the empirical analysis is the vector error correlation model. The model is used the macroeconomic variables such as the consumer price index and the GDP, and e-commerce variables such as direct overseas purchasing, direct overseas sales and online shopping amount. According to empirical analysis, the direct overseas purchasing has the causality with the consumer price index, and GDP has the causality with direct overseas purchasing and online. According to the impact response analysis of the VECM, the direct overseas purchasing has a positive effect on the CPI and GDP, but the direct overseas sales has a negative effect on the CPI and GDP. In addition, both direct overseas purchasing and sales have a negative effect on online shopping, but it has been shown that the direct overseas purchasing has a bigger negative effect on online shopping.

• International Commerce and Information Review
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• v.14 no.4
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• pp.27-47
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• 2012

The study aims to analyze how the variables for Korea, such as the exports, imports, FDI(Inward) and FDI(Outward), influence the economic growth and how they affect each other. For the purpose of empirical analysis, this paper used the quarterly time series data from 1980 to 2010, dividing the period before and after 1997(IMF). The variables used in this study were log-transformation from the original variables. This study empirically tests the relationship among variables by using VECM with considering the time-series properties of each variable. The results found from the study are as followings. Causality analysis using VECM proved that no causality between GDP and exports existed, whereas causality between GDP and FDI(Inward) existed, in which GDP affected FDI(Inward) since IMF. However, it was found that other periods and FDI(Inward) did not affect GDF and had no causality among them.

• The Korean Journal of Financial Management
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• v.11 no.1
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• pp.123-155
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• 1994

자본시장개방(資本市場開放)의 장기계획(長期計劃) 아래 추진된 증권시장의 개방은 국내경제를 한단계 높은 수준의 개방경제(開放經濟) 체제(體制)로 전환시키는 계기를 제공하는 혜택(惠澤)이 있는 반면에, 개방으로 유입되는 해외투자자금이 주식시장은 물론 거시경제지표(巨視經濟指標)에 부정적 영향을 미치는 경우를 배제할 수 없다. 부정적 현상으로 단기투기성(短期投機性) 자금에 의한 주가의 단기급등(短期急騰)이나 거품현상, 실물경제의 기반없는 해외부문통화(海外部門通貨) 증발(蒸發)에 따른 물가와 금리불안(金利不安), 그리고 원화의 수요증가(需要增加)로 인한 평가절상(評價切上) 압력으로 국제수지의 악화 등이다. 증시개방 이후 유입된 해외주식투자(海外株式投資) 자본(資本)이 거시경제 변수인 통화(通貨), 환율(換率), 그리고 주식시장(株式市場)에 미친 영향을 일반회귀분석, ARCH, VAR등의 모형을 통하여 연동적(連動的)인 유기관계(有機關係)를 실증적으로 분석한다. 분석 결과 통화량(通貨量)과 환율(換率)이 해외유입 자본으로 인하여 예상했던 부정적 효과를 나타냈다는 것을 입증(立證)할 근거(根據)는 찾을 수 없었다. 주가와 거래량은 해외주식 투자자금이 유인된 후 약 2주이내에 상승하였지만, 해외주식 투자자금의 유입원인(流入原因)은 주가(株價)와 거래량(去來量)의 상승세(上昇勢)로 인한 것이 아니라 주식시장의 위험도(危險度)와 잠재성(潛在性)에 비하여 주가(株價)가 저평가되어 향후 고수익율이 보장된다는 기대가 주요한 요인이라고 결론내릴 수 있다.

• The Korean Journal of Applied Statistics
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• v.34 no.5
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• pp.837-848
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• 2021

Evaluating or predicting the effectiveness of economic policies is an important issue, but it is difficult to find an economic variable which causes a significant result because there are numerous variables that cannot be taken into account. A randomized controlled experiment is the best way to investigate causality, but it is not realistically possible to control through randomization and intervention in time series data such as macroeconomic data. Although some analysis methods have been proposed to find causality, the methods such as Granger causality method and Chow test are insufficient to explain causality. Recently, Pfister et al. (2019) proposed invariant causal prediction methods which can be applicable in time series data. In this paper, we introduce the method of Pfister et al. (2019) and use the method to find macroeconomic variables invariantly affecting the won-dollar exchange rate.

• Journal of Convergence for Information Technology
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• v.8 no.6
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• pp.409-416
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• 2018

The purpose of this study is to estimate the macro-economic ripple effect of tax exemption for both high end technology firms and research enterprises in R&D special cluster. We apply the user cost of capital model and the Input-output model to the estimation. Estimation results for 2007-2016 are as follows: the increase in both the production and the value-added is 2,807 and 1,392 hundred million Korean won, respectively. Also, employers are increased by 2,355 people. These imply that keeping the tax exemption item for certain enterprises in R&D special cluster may be beneficial to our economy.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.5
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• pp.458-465
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• 2020

The purpose of this study is to analyze the effect of policy in Jeju, using a macro-economic forecasting model of Jeju. First, the model's reality explanatory power improved by updating its statistics to 2017 and expanding new policy variables and modules. Also, the industrial structure of the model was further subdivided and extended to be considered simultaneously in the demand side of Keynesian theory. Second, it was determined that the predictive power for the model of this study was better than that of the existing model. However, with some endogenous variables, it was possible to identify implications that should be developed and considered when the model is improved with additional data in the future. Third, when the second airport construction was considered, it was observed that its effect was an increase of 1.25 times for GRDP, 1.2 times for employment, 1.48 times for private consumption, and 2.06 times for investment. Also, the economic growth rate was estimated to be 1.6% point higher than when the second airport was not constructed. Finally, the results of this study are expected to be used for policy decision making of the Jeju Government.

• The Journal of Small Business Innovation
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• v.20 no.1
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• pp.19-33
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• 2017

In this paper, we suggest proper policy directions through an analysis onthe impact of changes in self-employment on the national economy. In other words, we intend to identify the current status of self-employment jobs and present policy directions for supporting self-employed workers. In order to grasp the dynamic relationship of variables, we used a VAR model to measure the impact of self-employment job fluctuations and macroeconomic variables on each other. The analysis results demonstrate that an exogenous shock to the ratio of self-employed workers does not show a significant impact on the nominal growth ratio. However, when the analysis was done separately on an exogenous shock to the ratio of self-employed workers with employees and without employees, an increase in the ratio of self-employed workers with employees showed a positive impact on nominal growth. On the other hand, an increase in the ratio of self-employed workers without employees showeda negative impact on nominal growth. In future studies, it will be necessary to do additional analysis on quarterly data to estimate the short-term impact of macroeconomic variables on changes in the ratio of self-employed workers.