• Title/Summary/Keyword: 매매

Search Result 519, Processing Time 0.022 seconds

The effect of the ISM Code revision in the shipping industry - Focusing on ship price and hull insurance - (ISM Code 개정이 해운산업에 미치는 영향에 관한 연구 - 선가 및 선박보험에 대한 영향을 중심으로 -)

  • Lim, Sung-Yong;Woo, Su-Han
    • Journal of Navigation and Port Research
    • /
    • v.37 no.1
    • /
    • pp.113-121
    • /
    • 2013
  • IMO(International Maritime Organization) is existed the movement for revising ISM Code so that the maintenance history and the trouble information given trading in a ship can be transferred. An empirical analysis was made on the influence that will have upon shipping industry through surveying on the recognition on ISM Code revision in employees of the relevant field and on the expected problems given being amended ISM Code as the above. In conclusion, the positive effect is judged to be more in the aspect of ship safety, which is the aim of ISM Code, rather than the negative effect, which may take place given being revised ISM Code. In other words, the clean market can be formed through this because fairness is maintained on both sides given trading in a ship by which opening the maintenance record and the trouble history is applied equally to a buyer and a seller. Ships can be reduced a loss of time and cost in preventing similar problems and seeking solution that may appear in important equipments, through this maintenance record. Also, based on these materials, it comes to be available for analyzing a risk of ship and preventing and managing a risk, thereby being increased ability of maintenance and repair in a ship, resulting in being judged to likely contributing to ship safety and environmental-pollution prevention.

Liquidity-related Variables Impact on Housing Prices and Policy Implications (유동성 관련 변수가 주택가격에 미치는 영향 및 정책적 시사점에 관한 연구)

  • Chun, Haejung
    • Journal of the Economic Geographical Society of Korea
    • /
    • v.15 no.4
    • /
    • pp.585-600
    • /
    • 2012
  • The purpose of this study related to the liquidity impact of the housing market variables using vector auto-regressive model(VAR) and empirical analysis is to derive some policy implications. October 2003 until May 2012 using monthly data for liquidity variables mortgage rates, mortgage, financial liquidity, as the composite index and nation, Seoul, Gangnam, Gangbuk, the Apartment sales prices were analyzed. Granger Causality Test Results, mortgage rates and mortgage at a bargain price two regions had a strong causal relationship. Since the impulse response analysis, Geothermal difference there, but housing price housing price itself, the most significant ongoing positive (+) reactions were liquidity-related variables are mortgage loans is large and persistent positive (+), financial liquidity weakly positive (+), mortgage interest rates are negative (-), KOSPI, the negative (-) reacted. Liquidity and housing prices that the rise can be and Gangnam in Gangbuk is greater than the factor that housing investment was confirmed empirically. Government to consider the current economic situation, while maintaining low interest rates and liquidity of the market rather than the real estate industry must ensure that activities can be embedded and local enforcement policies should be differentiated according to the policy will be able to reap significant effect.

  • PDF

The Study on the Sale Form Selection in the Sale and Purchase of Second Hand Ships (중고선박 매매계약의 선택기준에 대한 연구)

  • Cho, Jae-Kee;Kim, Junseung;Park, Keun-Sik
    • Journal of Korea Port Economic Association
    • /
    • v.36 no.1
    • /
    • pp.59-76
    • /
    • 2020
  • The purpose of this study is to analyze the factors of the main selection criteria of the contract form used to conclude the sales contracts of used ships and to assist parties in selecting the most suitable contract form for trading situations. The methods of the study are based on identifying the factors from the questionnaires using analytic hierarchy process analysis, following the selection of typical details through interviews with the S&P Broker Group and finding the solutions that match each detail. The analysis shows that ship traders prefer the Norwegian Sales Form (NSF) to NIPPONSALE for various reasons. Considering the sellers' situations, NFS is the more reasonable option for major countries, except Japan. NIPPONSALE is relatively more focused on the advantages of the buyer's conditions, including for Japan. It is important to select the appropriate clauses from these types of contract, according to the trading conditions, including the main and additional terms, in order to create a mutual agreement between the shipper and the consignee that leads to more cooperation and balances the purposes of both parties in adjusting the time for securing and disposing of the vessels.

Variation of Determinant Factor for Seoul Metropolitan Area's Housing and Rent Price in Korea (수도권 주택가격 결정요인 변화 연구)

  • Lee, Kyung-Ae;Park, Sang-Hak;Kim, Yong-Soon
    • Land and Housing Review
    • /
    • v.4 no.1
    • /
    • pp.43-54
    • /
    • 2013
  • This This paper investigates the variation of the factors to determinate housing price in Seoul metropolitan area after sub-prime financial crisis, in Korea, using a VAR model. The model includes housing price and housing rent (Jeonse) in Seoul metropolitan area from 1999 to 2011, and uses interest rate, real GDP, KOSPI, Producer Price Index and practices to impulse response and variance decomposition analysis to grasp the dynamic relation between a variable of macro economy and and a variable of housing price. Data is classified to 2 groups before and after the 3rd quater of 2008, when sub-prime crisis occurred; one is from the 1st quater of 1999 to the 3rd quater of 2008, and the other is from the 2nd quater of 1999 and the 4th quater of 2011. As a result, comparing before and after sub-prime crisis, housing price is more influenced by its own variation or Jeonse price's variation instead of interest rate and KOSPI. Both before and after sub-prime financial crisis, Jeonse price is also influenced by its own variation and housing price. While after sub-prime financial crisis, influences of Producer Price Index, KOSPI and interest rate were weakened, influence of real GDP is expanded. As housing price and housing rent are more influenced by real economy factors such as GDP, its own variation than before sub-prime financial crisis, the recent trend that the house prices is declined is difficult to be converted, considering domestic economic recession and uncertainty, continued by Europe financial crisis. In the future to activate the housing business, it ia necessary to promote purchasing power rather than relaxation of financial and supply regulation.

A Study on the Prediction for Apartment Sales Price: Focusing on the Basic Property, Economy, Education, Culture and Transportation Properties in S city, Gyeonggi-do (아파트 매매가격 예측에 관한 연구: 경기도 S시 아파트 기본속성과 경제·교육·문화·교통 속성을 중심으로)

  • Kim, Seonghun;Lee, Jung-Mok;Lee, Hyang-Seob;Yu, Su-Han;Shin, WooJin;Yu, Jong-Pil
    • The Journal of Bigdata
    • /
    • v.5 no.1
    • /
    • pp.109-124
    • /
    • 2020
  • In Korea, despite much interest in real estate, it is not easy to predict prices. Because apartments are both residential spaces and investment materials. Key figures affecting the price of apartments vary widely, and there are also regional characteristics. This study was conducted to derive the factors and characteristics that affect the sale price of apartments in S City, Gyeonggi-do. In general, people diagnose that better subway accessibility leads to higher apartment sales price. Nevertheless, in the case of S City, the price was slightly lower as it was closer to Line 1, but the higher the subway accessibility at Shinbundang Line, the higher the price. The five-year average of government bonds and the price were inversely related, and it was found to be proportional to the M2 balance and the price. The floor area ratio and the total number of parking lots had a great influence on the price, and the presence of department stores and discount marts within 1.5 km were the most important factors in the area of cultural aspect.

A Study on perception of effects about ISM Code amendments (ISM Code 개정 시 미치는 영향 인식에 관한 연구)

  • Lim, Sung-Yong;Jo, Min-Chul
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
    • /
    • 2013.06a
    • /
    • pp.163-165
    • /
    • 2013
  • IMO(International Maritime Organization) is existed the movement for revising ISM Code so that the maintenance history and the trouble information given trading in a ship can be transferred. An empirical analysis was made on the influence that will have upon shipping industry through surveying on the recognition on ISM Code revision in employees of the relevant field and on the expected problems given being amended ISM Code as the above. In conclusion, the positive effect is judged to be more in the aspect of ship safety, which is the aim of ISM Code, rather than the negative effect, which may take place given being revised ISM Code. In other words, the clean market can be formed through this because fairness is maintained on both sides given trading in a ship by which opening the maintenance record and the trouble history is applied equally to a buyer and a seller. Ships can be reduced a loss of time and cost in preventing similar problems and seeking solution that may appear in important equipments, through this maintenance record. Also, based on these materials, it comes to be available for analyzing a risk of ship and preventing and managing a risk, thereby being increased ability of maintenance and repair in a ship, resulting in being judged to likely contributing to ship safety and environmental-pollution prevention.

  • PDF

A Study on the Dynamic Correlations between Korean Housing Markets (국내 주택시장의 동태적 상관관계 분석)

  • Shin, Jong Hyup;Seo, Dai Gyo
    • Korea Real Estate Review
    • /
    • v.24 no.1
    • /
    • pp.15-26
    • /
    • 2014
  • Using multivariate GARCH model, we estimate the relationship between the housing sale prices and lease prices in the Korean housing market. In the analysis of relationship between the rate of changes in sale and lease prices, the correlation coefficient of the apartment and detached house is higher than that of the townhouse. By housing type, the correlation coefficient between detached house and townhouse is higher than between apartment and detached house or apartment and townhouse. By housing size, there are no significant different results between the sales price and the rental price. The correlation coefficient between medium and small size is the highest in the apartment housing market, whereas the correlation coefficient between large and medium size is the highest in the detached housing market, resulting from the fact that people may be more interested in medium- and small-sized apartment and large- and medium-sized detached house. In the detached housing market, the correlation coefficient between large-medium size and medium-small size in the rental price is higher than that of sales price. This result implies that the process of the decision making between purchasing and leasing a house might be different.

A Study on Stock Trading Method based on Volatility Breakout Strategy using a Deep Neural Network (심층 신경망을 이용한 변동성 돌파 전략 기반 주식 매매 방법에 관한 연구)

  • Yi, Eunu;Lee, Won-Boo
    • The Journal of the Korea Contents Association
    • /
    • v.22 no.3
    • /
    • pp.81-93
    • /
    • 2022
  • The stock investing is one of the most popular investment techniques. However, since it is not easy to obtain a return through actual investment, various strategies have been devised and tried in the past to obtain an effective and stable return. Among them, the volatility breakout strategy identifies a strong uptrend that exceeds a certain level on a daily basis as a breakout signal, follows the uptrend, and quickly earns daily returns. It is one of the popular investment strategies that are widely used to realize profits. However, it is difficult to predict stock prices by understanding the price trend pattern of stocks. In this paper, we propose a method of buying and selling stocks by predicting the return in trading based on the volatility breakout strategy using a bi-directional long short-term memory deep neural network that can realize a return in a short period of time. As a result of the experiment assuming actual trading on the test data with the learned model, it can be seen that the results outperform both the return and stability compared to the existing closing price prediction model using the long-short-term memory deep neural network model.

The Development and Application of Lex Mercatoria in the international commercial transaction : Focus on CISG and PICC Principles (국제물품매매계약에 있어서 상관습법(Lex mercatoria)의 발전과 전개, 그리고 향후 과제 - CISG와 PICC 원칙을 중심으로 -)

  • Jung, Jae-Woo;Lee, Kil-Nam
    • Korea Trade Review
    • /
    • v.41 no.5
    • /
    • pp.15-39
    • /
    • 2016
  • Over the past couple of decades, we can see the emergence of a new lex mercatoria. It consists of international conventions or treaty, model laws and international principles. And such new lex mercatoria is driven by the international institutions such as UNCITRAL, UNIDROIT and ICC. The international convention and international principles in the field of international commercial transaction are considered : UN Convention on Contracts for the International Sale of Goods(CISG) and The UNIDROIT Principles(PICC Principles). The former is the statue law for the latter, and the latter sometimes supports the former as an interpretation and supplementation of CISG. So, the purpose of this article is to evaluate and investigate the current status of CISG and PICC Principles in terms of application and interpretation principles. The results are as follows. First, PICC are used for the interpretation and supplementation of international law such as CISG, but CISG is a law, not a rule. Second, CISG and PICC Principles are not often chosen when parties chose the law governing their contract. The parties very often chose a national law ; the number of the parties choosing CISG and PICC Principles as a governing law was very low.

  • PDF

The Development and Application of the Officetel Price Index in Seoul Based on Transaction Data (실거래가를 이용한 서울시 오피스텔 가격지수 산정에 관한 연구)

  • Ryu, Kang Min;Song, Ki Wook
    • Land and Housing Review
    • /
    • v.12 no.2
    • /
    • pp.33-45
    • /
    • 2021
  • Due to recent changes in government policy, officetels have received attention as alternative assets, along with the uplift of office and apartment prices in Seoul. However, the current officetel price indexes use small-size samples and, thus, there is a critique on their accuracy. They rely on valuation prices which lag the market trend and do not properly reflect the volatile nature of the property market, resulting in 'smoothing'. Therefore, the purpose of this paper is to create the officetel price index using transaction data. The data, provided by the Ministry of Land, Infrastructure and Transport from 2005 to 2020, includes sales prices and rental prices - Jeonsei and monthly rent (and their combinations). This study employed a repeat sales model for sales, jeonsei, and monthly rent indexes. It also contributes to improving conversion rates (between deposit and monthly rent) as a supplementary indicator. The main findings are as follows. First, the officetel price index and jeonsei index reached 132.5P and 163.9P, respectively, in Q4 2020 (1Q 2011=100.0P). However, the rent index was approximately below 100.0. Sales prices and jeonsei continued to rise due to high demand while monthly rent was largely unchanged due to vacancy risk. Second, the increase in the officetel sales price was lower than other housing types such as apartments and villas. Third, the employed approach has seen a potential to produce more reliable officetel price indexes reflecting high volatility compared to those indexes produced by other institutions, contributing to resolving 'smoothing'. As seen in the application in Seoul, this approach can enhance accuracy and, therefore, better assist market players to understand the market trend, which is much valuable under great uncertainties such as COVID-19 environments.