• The Journal of Asian Finance, Economics and Business
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• 제5권2호
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• pp.43-51
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• 2018

We study the impact of economic policy uncertainty (EPU) of Asian four countries such as Korea, Japan, Hong Kong, and China on housing market returns in Korea. Also, we document the relationship between the EPU index of those four countries and the housing market including macroeconomic indicators in Korea. The EPU index of those four countries has significantly a negative effect on the housing purchase price index, housing lease price index in Korea. The EPU index in Korea and Japan has significantly a negative effect on the CPI. The EPU index in only Japan has significantly a negative effect on the PPI. The EPU index in Hong Kong and Korea has significantly a negative effect but the EPU index in China significantly has a positive effect on the stock price index in construction industry. The EPU index in only Korea has significantly a negative effect the stock price index in banking industry. This study shows the EPU index of the Korea has the negative relationships on the housing market economy rather than other countries by VECM. And this study has an important evidence of the spillover of several macroeconomic indicators in Korea for the EPU index of the Asian four countries.

• 대한교통학회지
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• 제20권4호
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• pp.95-107
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• 2002

혼잡세나 한계비용요금정책은 교통시설의 이용에 혼잡이 있거나 서비스 제공에 규모의 경제가 존재하는 경우 강력히 추천되는 정책도구이다. 그러나 본 논문에서는 그와 같은 시각은 당해 시설 서비스 시장만 고려할 때만 타당할 뿐 다른 시장과의 상호작용을 염두에 둔 일반균형적인 관점에서는 일반적으로 성립되지 않음을 보인다. 또한 각 정책에 대해 혼잡세나 한계비용요금정책이 실패로 돌아가는 예를 구체적으로 보이고 그에 대한 정책적 대안이 제시된다. 이 과정에서 이용량 제한이나 평균비용 요금정책 등이 놀랍게도 전통적 수단보다 우수한 정책으로 등장한다. 그러나, 이 결과는 특수한 상황에서만 성립하는 것으로 이와 관련된 연구과제들이 결론적으로 제시된다.

• 동아시아경상학회지
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• 제3권1호
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• pp.8-16
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• 2015

In the later quarter of the twentieth century, the need for foreign capital is realized among the various countries of the world. Developing countries especially developed multi-pronged strategies to attract foreign capital into the country. One such strategy is the adoption of liberalization policy. Almost all the developing countries started opening their economy, out of the compulsion, to achieve faster rate of economic growth and development. Even a communist country like China adopted liberalization policy as a strategy for accelerated economic growth during 1979. India also joined the race by 1991, when the government announced the policy of liberalization. The importance of FDI extends beyond the financial capital that flows into the country. The huge size of the market in this sector and high returns on investment are two important factors in boosting FDI inflows to power sector. 100 percent FDI is allowed under automatic route in almost all the sub sectors of power sector except the atomic energy. Major foreign investment is made in this sector during 2000 to 2009 is Mauritius with an investment of US$ 4490.96 i.e., 4.24 percent of the total FDI inflows into the country during the period. The estimation of future FDI flow shows a marginal decline in the year 2010. Then from 2011 to 2015 onwards upward trend of FDI was observed.

• 한국산업융합학회 논문집
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• 제25권3호
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• pp.467-476
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• 2022

The Bank of Korea raised the benchmark interest rate by a quarter percentage point to 1.75 percent per year, and analysts predict that South Korea's policy rate will reach 2.00 percent by the end of calendar year 2022. Furthermore, because market volatility has been significantly increased by a variety of factors, including rising rates, inflation, and market volatility, many investors have struggled to meet their financial objectives or deliver returns. Banks and financial institutions are attempting to provide Robo-Advisors to manage client portfolios without human intervention in this situation. In this regard, determining the best hyper-parameter combination is becoming increasingly important. This study compares some activation functions of the Deep Deterministic Policy Gradient(DDPG) and Twin-delayed Deep Deterministic Policy Gradient (TD3) Algorithms to choose a sequence of actions that maximizes long-term reward. The DDPG and TD3 outperformed its benchmark index, according to the results. One reason for this is that we need to understand the action probabilities in order to choose an action and receive a reward, which we then compare to the state value to determine an advantage. As interest in machine learning has grown and research into deep reinforcement learning has become more active, finding an optimal hyper-parameter combination for DDPG and TD3 has become increasingly important.

• 디지털융복합연구
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• 제15권2호
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• pp.135-144
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• 2017

본 연구는 물류관련 기업들의 주가 상승률과 변동성을 파악하고자 한다. 이를 위해 종합주가지수와 운수창고업지수, 코스닥지수와 운송업지수를 선정하여 지난 2000년 6월부터 2016년 10월까지 총 197개 동안의 월별자료를 이용하였다. 본 연구의 목적은 운수창고와 운수업의 주가지수 수익률을 산출하여 종합주가지수 및 코스닥지수와 비교 분석하여 물류산업의 발전 가능성과 향후 관련기업들의 투자 가치가 높은지를 판단하는데 있다. 이를 위해 각 지수의 기초통계량과 상관관계, 상승률동향 등을 다양하게 실증분석하고 운수창고와 운수업을 각 시장수익률과 비교하였다. 분석결과 지난 197개월 동안 운수창고와 운송업이 각 시장수익률보다 높은 수준으로 나타났다. 상관관계는 종합주가지수 경우 운수업 및 운수창고와 매우 높은 관계를 보였으나 코스닥지수와는 무관한 관계를 보여 서로 영향을 주지 않는 것으로 판단되었다. 운송업은 고위험 고수익을 나타내고 코스닥지수는 고위험 저수익 시장을 나타내고 있어 운송업이 상대적으로 효율적인 투자로 판단되었다. 향후 물류관련 산업의 발전 가능성과 운수창고 및 운송업이 시장수익률 대비 높은 상승률을 보일 것으로 기대하고 있어 새로운 투자대상으로 부각되기를 기대하고 있다.

• 한국산업정보학회논문지
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• 제29권2호
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• pp.69-80
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• 2024

본 논문에서는 대기행렬이론의 대표적인 서버제어정책 중 D-정책과 T-정책이 혼합된 상황 하에서 운영되는 이산시간 대기행렬시스템을 다룬다. 베르누이 도착과정으로 시스템에 도착하는 고객들을 단일 서버가 선입선출로 서비스하며, 시스템 내에 서비스할 고객이 없으면 서버는 휴가를 떠났다가 돌아와서 대기 중인 고객들의 서비스시간의 총합(즉, 총 일량)이 D를 초과할 때까지 반복하여 휴가를 갖는다. 본 연구에서 다루는 시스템의 운영은 2차전지를 사용하는 모바일 디바이스의 효율적인 자원 활용의 모델링에 사용할 수 있다. 또한 통신·교통 시스템 분석에 적합한 것으로 잘 알려진 이산시간 시스템을 대상으로 하여 유연한 혼합 제어정책(DT-정책) 하에서 대기행렬시스템의 안정상태 대기시간과 체재시간을 하나의 틀 안에서 유도하였다는 데 그 의의가 있다.

• 유통과학연구
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• 제16권12호
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• pp.5-11
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• 2018

Purpose - We investigate the relationship between economic policy uncertainty (EPU) of the US and China and housing distribution economy in Korea using EPU indexes of two countries and the economic indicators in Korea. Research design, data, and methodology - We use the data such as the Korean housing price stability index (HPSI), housing purchase price index (HPPI), housing lease price index (HLPI), banking stock index (BSI), and consumer price index (CPI) with EPU indexes from January 1999 to December 2017. As an empirical methodology, we select the vector error correction model (VECM) due to the existence of cointegration. Result - As results of the impulse response function, the impact of the US EPU index has initially a negative response on the Korean HPSI, HPPI, and HLPI referring the housing distribution market including the economic variables, BSI, and CPI. Likewise, the impact of index in China has initially a negative response on economic indicators except the BSI in Korea. Conclusions - This study shows that the EPU index of the US has significantly negative relationships on all economic indicators in Korea. In this study, we reveal EPU of the US and China has dynamic impact on housing distribution economy returns in Korea.

• 산경연구논집
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• 제10권1호
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• pp.29-37
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• 2019

Purpose - We study the dynamic linkages of the economic policy uncertainty (EPU) in the US on the manufacturing stock market returns in Korea. In detail, we examine the casual link between EPU index in the US and the manufacturing stock indexes in Korea. Research design, data, and methodology - We measure mainly the distribution effect of the US EPU on the manufacturing stock market in Korea of 1990-2017 by the vector error correction model (VECM). Result - In result, we estimate the impact of the US EPU index has significantly a negative response to the manufacturing stock market in Korea such as non-metal stock index, chemical stock index, food stock index, textile·clothes stock index, automobile·shipbuilding stock index, machinery stock index, steel·metal stock index. Also the remaining variables such as electric·electronics stock index, S&P 500, and producer price index in Korea have a negative relationship with US EPU index. Conclusions - We find out that the relationship between EPU index of the US and the manufacturing stock market in Korea has the negative relationships. We determine the EPU of the US has the spillover effect on the industry stock markets in Korea.

• 유통과학연구
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• 제17권1호
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• pp.11-19
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• 2019

Purpose - We document the impact of economic policy uncertainty (EPU) in the US and China on the dynamic spillover effect of macroeconomics such as stock price, housing price in Korea. Research design, data, and methodology - We use the nine variables to analyze the effect which produces a result among the EPU indexes of the US and China on economic variables which is the consumer price index (CPI), housing purchase price composite index, housing lease price, the stock price index in banking industry, construction industry and distribution industry, and composite leading indicator from January 1995 to December 2016 with the Vector Error Correction Model. Result - The US EPU index has significantly a negative relation on the CPI, housing purchase price index, housing lease price index, the stock price index in banking industry, construction industry, and distribution industry in Korea. Conclusions - We find the dynamic effect of the EPU indexes in the US and China on the macroeconomics returns in Korea. This study has an empirical evidence that the economy market in Korea is influenced by the EPU index of the US rather than it of China. The higher EPU, the more risky the economy of in Korea.

• Current Photovoltaic Research
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• 제10권4호
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• pp.121-132
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• 2022

The need for floating photovoltaic is being emphasized to expand renewable energy but low residents' acceptance is a major obstacle to the deployment of floating photovoltaic. Using the discrete choice experiment, this study analyzed the preferences for community-based floating photovoltaic projects and proposed a method to increase the residents' acceptance of floating photovoltaic projects. The estimates of the marginal willingness to accept (MWTA) of the distance, the coverage ratio, the landscape, the project owner (public institution), and the project owner (large company) are -0.69%p/km, 0.13%p/%p, -0.57%p, -2.95%p, -1.73%p, respectively. According to the result of simulation analysis, the residents' acceptance is significantly higher when the project is operated by a public institution, with a choice probability of 58%, than when the project is operated by a private company, with a choice probability of 29%, 12% for a large and small company, respectively. In addition, as a result of the analysis of the expected returns, the results show that the closer the distance from the residence to the power plant, the higher the expected return.