• Environmental and Resource Economics Review
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• v.27 no.1
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• pp.67-104
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• 2018

In this paper, we compare the spread effects of the carbon tax imposition method using the real business cycle model considering the productivity and energy price shocks. Scenario 1 sets the carbon tax rate that encourages the representative firm to maintain a constant $CO_2$ reduction ratio in accordance with its green house gas reduction targets for each period. Scenario 2 sets the method of imposing the steady state value of the carbon tax rate of Scenario 1 during the analysis period. The impulse response analysis shows that the responses of $CO_2$ emissions to external shocks are relatively sensitive in scenario 2. And simulation results show that the cost of $CO_2$ abatement is more volatile in scenario 1, and $CO_2$ emissions and $CO_2$ stock are more volatile in scenario 2. In particular, the percentage changes in volatility between the two scenarios of $CO_2$ emissions and $CO_2$ stock increase as the green house gas reduction target is harder. When the green house gas reduction target is 60% and over, the percentage changes(absolute value) between the two scenarios exceed the percentage change(absolute value) of the $CO_2$ reduction cost between them.

• International conference on construction engineering and project management
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• 2011.02a
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• pp.413-419
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• 2011

Corporate governance is a system articulating the division of responsibilities among different company members, and defining the running rules and procedures for making decisions on corporate affairs. The separation of ownership and management in modern enterprises brings agency problems to the company shareholders, and it is wildly believed that good practice on corporate governance is essential to prevent managers from taking actions by which profiteering their own benefits but compromising the interests of shareholders. This research investigates the level of companies' compliance with the corporate governance codes to find whether significant differences in corporate governance practice exist between the listed construction companies and the national leading companies in Taiwan. Further exploration focuses on the correlation between the compliance level and the industrial features. The investigation finds that: (1)Construction companies display lower levels of corporate governance compliance; (2)Construction companies display lower levels of structural board independence and respect for stakeholders; (3)Compliance levels of construction companies are correlated with the number of employees and the ownership concentration; (4)Compliance levels of the whole sample companies are correlated with the factors representing firm size, such as turnover, capital and number of employees, but are independent of profitability as well as stock price volatility. The above empirical evidence characterizes the features of corporate governance in Taiwan listed construction companies, including: (1)Large companies lurking high risk of agency problems have more willingness to conduct corporate governance and meanwhile can afford higher costs for the conduction, so that their compliance level would be higher than smaller companies; (2)Construction companies in Taiwan have higher ownership concentration, on account of the industrial tradition of family business, and therefore pay less attention to the compliance with structural board independence and respect for stakeholders. However, the conclusions indicate that further studies are essential to clarify whether the above disparities would lead to a negative cycle of corporate governance practice in construction industry. The benefits of corporate governance should unfold more evidently to convince construction companies for improving their investment environment and stimulating their healthy growth.

• The Korean Journal of Applied Statistics
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• v.24 no.4
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• pp.597-607
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• 2011

Value at Risk(VaR) is being widely used as a simple tool for measuring financial risk. Although VaR has a few weak points, it is used as a basic risk measure due to its simplicity and easiness of understanding. However, it becomes very difficult to estimate the volatility of the portfolio (essential to compute its VaR) when the number of assets in the portfolio is large. In this case, we can consider the application of a dimension reduction technique; however, the ordinary factor analysis cannot be applied directly to financial data due to autocorrelation. In this paper, we suggest a dimension reduction method that uses the time-series factor analysis and DCC(Dynamic Conditional Correlation) GARCH model. We also compare the method using time-series factor analysis with the existing method using ordinary factor analysis by backtesting the VaR of real data from the Korean stock market.

• The Korean Journal of Financial Management
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• v.16 no.2
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• pp.285-308
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• 1999

증권의 가격형성에 유리한 뉴스와 불리한 뉴스가 도착할 때 이 뉴스가 주가의 변동성에 미치는 영향의 정도는 차이가 있다. 불리한 뉴스가 변동성에 미치는 영향도가 유리한 뉴스가 변동성에 미치는 영향도보다 크다. 따라서 불리한 뉴스가 발생할 때 형성되는 변동성의 양이 유리한 뉴스의 도착시보다 크다. 그리고 충격의 크기에 따라 이 충격이 야기하는 변동성의 양의 크기에도 차이가 존재한다. 일반 자기회귀 조건부 이분산 과정은 유리한 뉴스와 불리한 뉴스를 대칭적으로 반영하고 있다. 이 뉴스들을 비대칭적으로 포착하는 자기회귀 조건부 이분산 과정의 모형들을 실증적으로 분석하였다. 뉴스의 비대칭성과 규모를 적절히 포착하고 있는 모형들이 비선형 일반 자기회귀 조건부 이분산 과정, 지수 일반 자기회귀 조건부 이분산 과정과 정보 포착 자기회귀 조건부 이분간 과정임이 발견되었다. 이 중 비선형 일반 자기회귀 조건부 이분산 과정이 가장 좋은 모형으로 보인다. 비선형 일반 자기회귀 조건부 이분산 과정의 경우 예측오차의 승멱(power)이 약 1.5이다. 따라서 일반 자기회귀 조건부 이분산 과정의 예측오차의 승멱인 2에 비하여 작다. 이 사실은 일반 자기회귀 조건부 이분산의 예측오차의 승멱이 과도하게 측정되고 없음을 알 수 있다. 뉴스의 비대칭성과 규모를 반영하고 있는 모형들은 한결같이 예측오차의 크기에 적절한 가중치를 부여하여 예측오차의 크기를 조정하고 있다. 이 모형의 성질과 실증분석의 결과에 의하여 예측오차의 승멱은 2 이하로 수정하여 사용해야 한다는 점이 시사되고 있다. 음의 충격이 양의 충격보다 주가의 변동성을 크게 하고 없음이 발견되었다. 주가형성에 유리한 뉴스와 불리한 뉴스가 주가의 변동성에 미치는 영향의 차이와 충격의 중대성을 양으로 표시하는 규모의 차이를 반영해주는 변수들의 추정된 계수가 미국과 일본보다 절대값에 있어서 상당히 작다. 이 현상은 뉴스의 비대칭성과 규모보다는 발생하는 충격, 즉 뉴스 자체에 보다 민감하게 반응하고 있음을 보여주고 있다. 물론 투자자들이 뉴스의 비대칭성과 규모를 완전히 무시하고 투자활동을 전개하고 있다는 것을 의미하는 것은 아니다.

• Journal of Distribution Science
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• v.13 no.11
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• pp.47-58
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• 2015

Purpose - This study aims to seek determinants of department store sales commission rates under consignment contracts based on transaction cost theory, the power-dependence view, and the resource-based view. A consignment contract is a unique contract where the retailer, over a given period, takes possession of goods owned by a supplier, promotes the sales of these goods, and receives a profit share from their sales. Under this contract, the supplier owns the goods until they are sold. In department stores in South Korea, over 70% of overall sales comes through consignment contracts. In other words, this is the most popular contract agreement between large retailers and vendors in South Korea. Consignment contracts yield high profits to department stores with minimal sales uncertainty, stock cost, and marketing investment. Many suppliers believe the consignment contract commission rates are too high. However, department stores disagree. They state that the commissions are not high as they generate new value for the suppliers by accumulating up-to-date merchandise and supporting various marketing programs on their behalf. Recently, consignment contracts have been critically examined and scrutinized by politicians, mass media, and the public of Korea. This study further intends to derive implications reflecting both buyer and seller perspectives as well as offer insights to policy makers in making appropriate decisions. Research design, data, and methodology - To verify the proposed research model and test hypotheses, the authors selected 164 suppliers, which currently have relationships with department stores. This study carefully investigated the reliability, content validity, convergent validity, and discriminant validity of the proposed model. The data were analyzed using SPSS 18.0 and AMOS structural equation modeling program Results - For the transaction cost theory and the power-dependence view, the results indicated that product diversity and demand volatility had a positive impact on the sales dependence on a department store. Dependence in turn had a positive effect on the sales commission under the consignment contract. Based on the resource-based view, the department store's marketing capability, the supplier's perception toward merchandising, and supporting activities could enhance the department store's channel leadership in the buyer-seller relationship. Subsequently, the channel leadership had a positive effect on the sales commission. However, product complexity had no relationship with department store dependence. Conclusions - This is the first empirical research that investigates the determinants of sales commissions under consignment contracts in the domestic retail industry. This study reveals several theoretical and practical implications for both marketing scholars and marketers. In terms of theoretical implication, this study integrated and enlarged certain theoretical background, such as transaction cost theory, the power-dependence view, and the resource-based view, to explain the determinants of sales commissions under consignment contracts that include sales revenue. From a business management viewpoint, this research offers useful insights for policy makers by applying two different perspectives, both the manufacturer and the retailer, in terms of the sales commission issue under a consignment contract.

• The Korean Journal of Financial Management
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• v.23 no.2
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• pp.189-208
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• 2006

In this paper we are concerned with estimation of tail related risk measures for heteroscedastic financial time series and VaR limits that VaR tells us nothing about the potential size of the loss given. So we use GARCH-EVT model describing the tail of the conditional distribution for heteroscedastic financial series and adopt Expected Shortfall to overcome VaR limits. The main results can be summarized as follows. First, the distribution of stock return series is not normal but fat tail and heteroscedastic. When we calculate VaR under normal distribution we can ignore the heavy tails of the innovations or the stochastic nature of the volatility. Second, GARCH-EVT model is vindicated by the very satisfying overall performance in various backtesting experiments. Third, we founded the expected shortfall as an alternative risk measures.

• Economic Analysis
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• v.25 no.1
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• pp.1-33
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• 2019

This paper examines the economic factors that are related to the dynamics of the variance risk premium, and specially, which economic factors are related to the forecasting power of the variance premium regarding future index returns. Eleven general economic variables, eight interest rate variables, and eleven sentiment-associated variables are used to figure out the relevant economic variables that affect the variance risk premium. According to our empirical results, the won-dollar exchange rates, foreign reserves, the historical/implied volatility, and interest rate variables all have significant coefficients. The highest adjusted R-squared is more than 65 percent, indicating their significant explanatory power of the variance risk premium. Next, to verify the economic variables associated with the predictability of the variance risk premium, we conduct forecasting regressions to predict future stock returns and volatilities for one to six months. Our empirical analysis shows that only the won-dollar exchange rate, among the many variables associated with the dynamics of the variance risk premium, has a significant forecasting ability regarding future index returns. These results are consistent with results found in previous studies, including Londono (2012) and Bollerslev et al. (2014), which show that the variance risk premium is related to global risk factors.

• International Area Studies Review
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• v.15 no.1
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• pp.291-314
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• 2011

We examine the motives of foreigner's investments in the Korean bonds by maturity and try to prove that market impacts are different by their investment maturity. Foreign investors initially focused on short-term bonds, but have expanded to mid- to long-term bonds since 2010. The previous studies found that covered interest arbitrage was the main reason for foreign investment. However, there should be some other reasons as their investment in mid- to long-term bonds might have nothing to do with arbitrage. In the empirical analysis, we found that foreign investment in bonds with less than 2 year maturity is driven by arbitrage as previous studies. However, investment in bonds with 2-5 year maturity is sensitive to the FX volatility and the stock market performance compared with the U.S. and investment in bonds with more than 5 year maturity is driven by the CDS premium differential between Korea and PIIGS countries. The more foreigners have invested mid- to long-term bonds, the stronger downward pressure has been on the bond yields. In addition, foreign investors indirectly affected the spreads. Meanwhile, the government should prepare some policy measures since concerns over side effects such as the Korean won appreciation and an abrupt capital outflow are arising.

• The Korean Journal of Financial Management
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• v.9 no.2
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• pp.101-147
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• 1992

증권거래소(證券去來所)는 시황에 따라 위탁증거금율(委託證據金率)을 탄력적으로 변경 운용함으로써 시장의 수급을 조절하는 등의 시장관리수단의 하나로 이용하여 공정한 시세형성을 기하고자 설립시부터 증권회사로 하여금 매매의 위탁시 위탁증거금을 징수하도록 규정하고 증거금율을 상황에 따라 신축적으로 운용하여 1962년 이후에만도 무려 32회이상 변경하였다. 따라서 문제의 핵심은 위탁증거금징수가 주식시장에서의 과잉투기행위를 근절시키고 주가변동율(株價變動率)(stock volatility)을 감소시켜 공정거래질서(公正去來秩序)를 확보하는데 기여하고 있는지의 여부가 된다. 이 점은 특히 미국(美國)에서 1987년 10월 소위 '검은 월요일(Black Monday)'당시 갑작스러운 주가폭락과 시장체계의 붕괴사태이후 금융시장의 발전을 모색하는 정책당국자들과 학자들사이에 새로운 주목을 받기 시작하였다. Salinger(1989)와 Schwert(1989)는 위탁증거금율(委託證據金率)의 변경과 주가변동율(株價變動率)의 감소와는 아무런 인과관계가 없다고 결론을 내리고 있다. 특히 Schwert는 거래일시중단시책마저도 주가변동율에 별 효과가 없다고 주장하면서 금융공황과 관련된 거래일시중단은 주가변동을 큰 폭으로 증가시켜왔으나 금융공황을 동반하지 않은 기래일시중단은 높은 주가변동율과 무관함을 밝히고 있다. Hardouvelis(1991)는 그러나 위탁증거금율을 상승시키면 주가변동율이 낮아지며, 결과적으로 주가가 본원적가치(本源的價値)로부터 일탈하는 현상도 줄어든다는 사실을 통계적으로 입증하고, 위탁증거금의 징수가 시장을 교란하는 악성투기행위를 억제시키는데 매우 효과적인 정책수단이라고 주장하고 있다. 본 연구는 우리나라 주식시장에서 과잉투기현상을 억제하여 시장의 안정을 확보하는 기능으로서의 위탁증거금제도에 대해 그 경제적 효과여부를 규명하는 실증분석을 행하였다. 이 논문에서는 Schwert(1989)와 Hardouvelis(1991)의 방법을 원용하여 두가지 서로 다른 방법으로 주가변동율을 측정하여 비교하였다. 통계적 기법은 기본적으로 다변량(多變量) 회귀분석법(回歸分析法)을 택하였다. 분석의 결과로 매우 흥미로운 실증상(實證上)의 규칙성(規則性)을 발견하였다. 즉 현금시장(cash market)의 위탁증거금율이 높아지면 실제주가변동율(實際株價變動率)과 초과주가변동율(超過株價變動率)이 감소되고, 또한 유행(流行)의 경우와 마찬가지로 본원적 가치로부터의 괴리가 작아진다. 이 결과에 따르면 위탁증거금의 징수는 그 제도의 취지에 부합되고 있다. 다만 제도운용상의 이유이거나 혹은 우리나라 주식시장의 투자자들이 비합리적인 투자형태를 보임에 따라 그 정책적 효과는 때로 역기능적인 결과로 초래하였다. 그럼에도 불구하고 이 연구결과를 통하여 최소한 주식시장(株式市場)에서 위탁증거금제도는 그 제도적 의의가 여전히 있다는 사실이 확인되었다. 또한 우리나라 주식시장에서 통상 과열투기 행위가 빈번히 일어나 주식시장을 교란시킴으로써 건전한 투자풍토조성에 저해된다는 저간의 우려가 매우 커왔으나 표본 기간동안에 대하여 실증분석을 한 결과 주식시장 전체적으로 볼 때 주가변동율(株價變動率), 특히 초과주가변동율(超過株價變動率)에 미치는 영향이 그다지 심각한 정도는 아니었으며 오히려 우리나라의 주식시장은 미국시장에 비해 주가가 비교적 안정적인 수준을 유지해 왔다고 볼 수 있다.

• Journal of Intelligence and Information Systems
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• v.26 no.1
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• pp.135-149
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• 2020

Artificial intelligences are changing world. Financial market is also not an exception. Robo-Advisor is actively being developed, making up the weakness of traditional asset allocation methods and replacing the parts that are difficult for the traditional methods. It makes automated investment decisions with artificial intelligence algorithms and is used with various asset allocation models such as mean-variance model, Black-Litterman model and risk parity model. Risk parity model is a typical risk-based asset allocation model which is focused on the volatility of assets. It avoids investment risk structurally. So it has stability in the management of large size fund and it has been widely used in financial field. XGBoost model is a parallel tree-boosting method. It is an optimized gradient boosting model designed to be highly efficient and flexible. It not only makes billions of examples in limited memory environments but is also very fast to learn compared to traditional boosting methods. It is frequently used in various fields of data analysis and has a lot of advantages. So in this study, we propose a new asset allocation model that combines risk parity model and XGBoost machine learning model. This model uses XGBoost to predict the risk of assets and applies the predictive risk to the process of covariance estimation. There are estimated errors between the estimation period and the actual investment period because the optimized asset allocation model estimates the proportion of investments based on historical data. these estimated errors adversely affect the optimized portfolio performance. This study aims to improve the stability and portfolio performance of the model by predicting the volatility of the next investment period and reducing estimated errors of optimized asset allocation model. As a result, it narrows the gap between theory and practice and proposes a more advanced asset allocation model. In this study, we used the Korean stock market price data for a total of 17 years from 2003 to 2019 for the empirical test of the suggested model. The data sets are specifically composed of energy, finance, IT, industrial, material, telecommunication, utility, consumer, health care and staple sectors. We accumulated the value of prediction using moving-window method by 1,000 in-sample and 20 out-of-sample, so we produced a total of 154 rebalancing back-testing results. We analyzed portfolio performance in terms of cumulative rate of return and got a lot of sample data because of long period results. Comparing with traditional risk parity model, this experiment recorded improvements in both cumulative yield and reduction of estimated errors. The total cumulative return is 45.748%, about 5% higher than that of risk parity model and also the estimated errors are reduced in 9 out of 10 industry sectors. The reduction of estimated errors increases stability of the model and makes it easy to apply in practical investment. The results of the experiment showed improvement of portfolio performance by reducing the estimated errors of the optimized asset allocation model. Many financial models and asset allocation models are limited in practical investment because of the most fundamental question of whether the past characteristics of assets will continue into the future in the changing financial market. However, this study not only takes advantage of traditional asset allocation models, but also supplements the limitations of traditional methods and increases stability by predicting the risks of assets with the latest algorithm. There are various studies on parametric estimation methods to reduce the estimated errors in the portfolio optimization. We also suggested a new method to reduce estimated errors in optimized asset allocation model using machine learning. So this study is meaningful in that it proposes an advanced artificial intelligence asset allocation model for the fast-developing financial markets.