• International Area Studies Review
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• v.21 no.4
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• pp.173-194
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• 2017

The research study conducted logistics regression analysis through HLM (Hierarchical Linear Modeling) and presented the value of the outcome in order to investigate characteristic factors of demanders which influence the intention to move into public rental housing. (1) The results of the regression analysis of characteristic factors of household and housing were analyzed as having the significant effect on the intention to move in public rental housing, according to residents moving in monthly rent housing, residents' occupations, rental housing, the number of household, the location of surrounding public rental housing, monthly average income, children's educational level, the number of children, the types of housing and one's own house, in order, out of the types of housing tenure. (2) The results of the regression analysis of characteristic factors of the conditions of location were analyzed that out of the conditions of location of the top five areas in public rental rates, what influences significant effects on the intention to move in public rental housing is the location of surrounding rental housing, income, the number of household and children, children's educational level, job state, housing types, ones' own house, rent housing, monthly rent housing, in order. (3) In case of Seoul, Expanding public rental housing is inevitable in order to stabilize ordinary people's housing stability, owing to the high and rental prices of private housing. Nevertheless, an accurate analysis of the intention to move in public rental housing has not been conducted. Eventually, the research was, thus, conducted, based on the fact that the preference on public housing is low. According to the analytic results of the study, it is required for the government institutions and agencies should consider individual and local characteristics and provide an alternative that meets the real situation, in order to help ordinary citizens with low incomes stabilize housing.

• International Commerce and Information Review
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• v.15 no.3
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• pp.199-224
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• 2013

Section I of Chapter III ('Obligations of the Buyer') in Part III ('Sale of Goods') of the CISG consists of six articles addressing one of the fundamental buyer obligations described in article 53 of the CISG: the obligation to pay the price. Although the amount of the price that the buyer must pay is usually specified in the contract, two articles in Section I contain rules governing the amount of the price in particular special circumstances: article 55 specifies a price when one is not fixed or provided for in the contract, and article 56 specifies the way to determine the price when it is 'fixed according to the weight of the goods'. The remaining four provisions in Section I relate to the manner of paying the price: they include rules on the buyer's obligation to take steps preparatory to and to comply with formalities required for paying the price (article 54); provisions on the place of payment (article 57) and the time for payment (article 58); and an article dispensing with the need for a formal demand for payment by the seller (article 59). Especially article 53 states the principal obligations of the buyer, and serves as an introduction to the provisions of Chapter III. As the CISG does not define what constitutes a 'sale of goods', article 53, in combination with article 30, also sheds light on this matter. The principal obligations of the buyer are to pay the price for and take delivery of the goods 'as required by the contract and this CISG'. From this phrase, as well as from article six of the CISG, it follows that, where the contract provides for the performance to take place in a manner that differs from that set forth in the CISG, the parties' agreement prevails.

• Journal of Cadastre & Land InformatiX
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• v.45 no.2
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• pp.191-201
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• 2015

There has been few researches on the variables that influence on goodwill of the store. The purpose of this study is to identify the determined variables which affect goodwill of the store in seoul empirically by examining the interaction between goodwill and risk sharing in the commercial lease contract. We have analyzed 1,463 retail unite of goodwill over August, 2015. A regression analysis model is constructed to test the significance of the variables on the goodwill per $m^2$ in Seoul. The results indicate that rent to total start-up cost of ratio and retail property characteristics variables explain a significant portion of the variability of goodwill. The results suggest that retail rents is comparatively more important than size of store. The study suggests that monthly rents to total start-up cost of ratio is the key variable affecting the goodwill of the store.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.11
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• pp.474-482
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• 2016

This paper presents an empirical analysis on the relationship between consumer sentiment and macro-economic indices by consumer's characteristics such as age, income and employment type. According to the empirical analysis based on the Consumer Sentiment Index(CSI) of the Bank of Korea and other macro-economic indices, the following study findings are presented. First, individual consumer sentiment depends not only on GDP growth, but also on other macro-economic conditions such as wage, employment, consumer and asset price, and debt burden. Second, the degree of importance of the macro-economic indices on determining individual consumer sentiment varies strongly according to consumers' characteristics. These findings reveal that the gap between consumer sentiment and GDP growth can largely be explained by considering the other macro-economic indices and consumer's characteristics.

• Proceedings of the Plant Resources Society of Korea Conference
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• 2011.10a
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• pp.3-3
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• 2011

국내 주요 인삼재배 산지 기반을 가진 전북 진안지역의 인삼 홍삼산업은, 재배농가 895호, 재배면적 402ha, 생산량 1,628톤, 홍삼가공업체 80개소, 판매업소 50개소로 지역경제의 25% 이상을 차지한다. 그러나 재배농가의 계열화 미흡(22%), 산지수집상(포전매매)에 의한 인근 유사 도매시장으로 재배물량과 부가가치 유출(78%), 가공시설의 노후화, 가공업체의 영세성(매출규모 연평균 2억11백만원)과 함께 중국, 캐나다, 미국 등의 국제 가격경쟁과 국내의 대기업 및 인삼산업 주요지역과의 경쟁이라는 상황에 직면하고 있다. 이러한 상황을 극복하고 지역특화명품산업으로 발전할 수 있는 방안으로, 인삼재배산지로서 원료공급지를 기반으로 하는 재배, 유통, 가공, 품질관리, 시설분야에 이르는 발전방안을 연구하였다. 산업원료 확보를 위해서는 인삼계열화 확대를 통해 원물 확보력을 강화하여야 한다. 재배분야의 경우에는 친환경재배 확대와 GAP 확대를 통해 원물의 품질경쟁력 뿐만 아니라 시장수요에 따른 브랜드마케팅 요인으로 특성화해야 한다. 유통분야는 계열화 확대를 통한 원물확보라는 산업경쟁력을 바탕으로 원료중심의 수취, 매취, 보관, 가공, 대형거래, 도소매 등 유통활성화와 유통규격포장 및 선별등급표준화를 통한 유통표준화를 추진하여야 한다. 가공의 경우, 원료홍삼 공급기능을 중심으로 가공산업을 선택 육성해야한다. 품질관리는 원물중심관리(성분, 잔류농약, 식품위생), 유통중심관리(연근, 등급), 경작중심관리(재배지, 재배자, 경작), 프로세스중심관리(재배 유통 가공 판매정보)로 구체화해야한다. 시설분야는 유통시설(대규모 집하시설, 보관시설 등 종합유통처리시설)과 가공시설(가공설비현대화, 가공공장 공인규격화;ISO, GMP, HACCP)의 지속적인 시설개선과 현대화를 추진하여야 한다.

• Korean Journal of Construction Engineering and Management
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• v.19 no.2
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• pp.96-106
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• 2018

The government adopted activation policy of real estate to overcome low economic growth rate. Real estate activation plan adopted by the government raised credit limit by lowering the regulation, and reduced real estate investment cost by reducing the base rate. Also, delayed transfer tax on multi-house owner to activate real estate investment and resolved purchase right resale. Relief of real estate regulate caused increase of housing sales and price increase, and the real estate market changed to overheating aspect such as premium upon completion of lot sale in a short time. Such market atmosphere greatly increased household debs as owners own houses based on 'financial debt' instead of their income. Since 2017, real estate policy was reinforced to reduce household debts and lending rate was raised due to rise of base rate, accordingly, burden of household debt is expected to increase. This research suggested a plan for the Financial Supervisory Service to efficiently manage the financial world by analyzing the cause and problem of household debs.

• Journal of the Korean Data and Information Science Society
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• v.27 no.5
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• pp.1147-1154
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• 2016

Impact of Korea train express (KTX) on the regional economy in Korea has been studied by many researchers. Current research is limited in the lack of quantitative research using a statistical model to study the effect of KTX on regional economy. This paper analyses the influence of KTX to the household final consumption expenditure, which is one of important regional economic index, using spatial panel regression model. The spatial structure is introduced through spatial autocorrelation matrix using adjacency of KTX connection. The result shows a significant effect of Korea train express on the regional economy.

• Journal of Digital Convergence
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• v.15 no.7
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• pp.41-53
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• 2017

This study focuses on the current state of Smart Grid policy in Japan and its problems while the interest in Smart Grid has been increasing since the March 2011 earthquake in East Japan. As a result of the analysis, Japan introduced the fixed price buying system of new and renewable energy in response to the power supply and demand problem caused by the 2011 earthquake in East Japan, and established a decentralized green electricity trading market in which electricity generated from new and renewable energy is traded Smart Grid-related projects were implemented as a solution to solve energy crisis and environmental problems at the same time. As a result, we achieved visible results such as suppressing peak power, reducing CO2 emissions, and securing stable supply and demand of energy using renewable energy sources. On the other hand, the improvement of current Smart Grid policy operation in Japan and the introduction of stabilization system of power system, promotion of international standards of domestic technology related to smart grid, and support for strengthening security of smart grid.

• Journal of Intelligence and Information Systems
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• v.16 no.2
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• pp.19-32
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• 2010

Volatility plays a central role in both academic and practical applications, especially in pricing financial derivative products and trading volatility strategies. This study presents a novel mechanism based on generalized autoregressive conditional heteroskedasticity (GARCH) models that is able to enhance the performance of intelligent volatility trading systems by predicting Korean stock market volatility more accurately. In particular, we embedded the concept of the volatility asymmetry documented widely in the literature into our model. The newly developed Korean stock market volatility index of KOSPI 200, VKOSPI, is used as a volatility proxy. It is the price of a linear portfolio of the KOSPI 200 index options and measures the effect of the expectations of dealers and option traders on stock market volatility for 30 calendar days. The KOSPI 200 index options market started in 1997 and has become the most actively traded market in the world. Its trading volume is more than 10 million contracts a day and records the highest of all the stock index option markets. Therefore, analyzing the VKOSPI has great importance in understanding volatility inherent in option prices and can afford some trading ideas for futures and option dealers. Use of the VKOSPI as volatility proxy avoids statistical estimation problems associated with other measures of volatility since the VKOSPI is model-free expected volatility of market participants calculated directly from the transacted option prices. This study estimates the symmetric and asymmetric GARCH models for the KOSPI 200 index from January 2003 to December 2006 by the maximum likelihood procedure. Asymmetric GARCH models include GJR-GARCH model of Glosten, Jagannathan and Runke, exponential GARCH model of Nelson and power autoregressive conditional heteroskedasticity (ARCH) of Ding, Granger and Engle. Symmetric GARCH model indicates basic GARCH (1, 1). Tomorrow's forecasted value and change direction of stock market volatility are obtained by recursive GARCH specifications from January 2007 to December 2009 and are compared with the VKOSPI. Empirical results indicate that negative unanticipated returns increase volatility more than positive return shocks of equal magnitude decrease volatility, indicating the existence of volatility asymmetry in the Korean stock market. The point value and change direction of tomorrow VKOSPI are estimated and forecasted by GARCH models. Volatility trading system is developed using the forecasted change direction of the VKOSPI, that is, if tomorrow VKOSPI is expected to rise, a long straddle or strangle position is established. A short straddle or strangle position is taken if VKOSPI is expected to fall tomorrow. Total profit is calculated as the cumulative sum of the VKOSPI percentage change. If forecasted direction is correct, the absolute value of the VKOSPI percentage changes is added to trading profit. It is subtracted from the trading profit if forecasted direction is not correct. For the in-sample period, the power ARCH model best fits in a statistical metric, Mean Squared Prediction Error (MSPE), and the exponential GARCH model shows the highest Mean Correct Prediction (MCP). The power ARCH model best fits also for the out-of-sample period and provides the highest probability for the VKOSPI change direction tomorrow. Generally, the power ARCH model shows the best fit for the VKOSPI. All the GARCH models provide trading profits for volatility trading system and the exponential GARCH model shows the best performance, annual profit of 197.56%, during the in-sample period. The GARCH models present trading profits during the out-of-sample period except for the exponential GARCH model. During the out-of-sample period, the power ARCH model shows the largest annual trading profit of 38%. The volatility clustering and asymmetry found in this research are the reflection of volatility non-linearity. This further suggests that combining the asymmetric GARCH models and artificial neural networks can significantly enhance the performance of the suggested volatility trading system, since artificial neural networks have been shown to effectively model nonlinear relationships.

• The Korean Journal of Financial Management
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• v.24 no.2
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• pp.41-79
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• 2007

This study examines the expiration-day effects of stock index futures and options in the Korean stock market. The so-called 'expiration-day effects', which are the abnormal stock price movements on derivatives expiration days, arise mainly from cash settlement. Index arbitragers have to bear the risk of their positions unless they liquidate their index stocks on the expiration day. If many arbitragers execute large buy or sell orders on the expiration day, abnormal trading volumes are likely to be observed. If a lot of arbitragers unwind positions in the same direction, temporary trading imbalances induce abnormal stock market volatility. By contrast, if some information arrives at market, the abnormal trading activity must be considered a normal process of price discovery. Stoll and Whaley(1987) investigated the aggregate price and volume effects of the S&P 500 index on the expiration day. In a related study, Stoll and Whaley(1990) found a similarity between the price behavior of stocks that are subject to program trading and of the stocks that are not. Thus far, there have been few studies about the expiration-day effects in the Korean stock market. While previous Korean studies use the KOSPI 200 index data, we analyze the price and trading volume behavior of individual stocks as well as the index. Analyzing individual stocks is important for two reasons. First, stock index is a market average. Consequently, it cannot reflect the behavior of many individual stocks. For example, if the expiration-day effects are mainly related to a specific group, it cannot be said that the expiration of derivatives itself destabilizes the stock market. Analyzing individual stocks enables us to investigate the scope of the expiration-day effects. Second, we can find the relationship between the firm characteristics and the expiration-day effects. For example, if the expiration-day effects exist in large stocks not belonging to the KOSPI 200 index, program trading may not be related to the expiration-day effects. The examination of individual stocks has led us to the cause of the expiration-day effects. Using the intraday data during the period May 3, 1996 through December 30, 2003, we first examine the price and volume effects of the KOSPI 200 and NON-KOSPI 200 index following the Stoll and Whaley(1987) methodology. We calculate the NON-KOSPI 200 index by using the returns and market capitalization of the KOSPI and KOSPI 200 index. In individual stocks, we divide KOSPI 200 stocks by size into three groups and match NON-KOSPI 200 stocks with KOSPI 200 stocks having the closest firm characteristics. We compare KOSPI 200 stocks with NON-KOSPI 200 stocks. To test whether the expiration-day effects are related to order imbalances or new information, we check price reversals on the next day. Finally, we perform a cross-sectional regression analysis to elaborate on the impact of the firm characteristics on price reversals. The main results seem to support the expiration-day effects, especially on stock index futures expiration days. The price behavior of stocks that are subject to program trading is shown to have price effects, abnormal return volatility, and large volumes during the last half hour of trading on the expiration day. Return reversals are also found in the KOSPI 200 index and stocks. However, there is no evidence of abnormal trading volume, or price reversals in the NON-KOSPI 200 index and stocks. The expiration-day effects are proportional to the size of stocks and the nearness to the settlement time. Since program trading is often said to be concentrated in high capitalization stocks, these results imply that the expiration-day effects seem to be associated with program trading and the settlement price determination procedure. In summary, the expiration-day effects in the Korean stock market do not exist in all stocks, but in large capitalization stocks belonging to the KOSPI 200 index. Additionally, the expiration-day effects in the Korean stock market are generally due, not to information, but to trading imbalances.