• Title/Summary/Keyword: information markets

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A Study on Developing a Profitable Intra-day Trading System for KOSPI 200 Index Futures Using the US Stock Market Information Spillover Effect

  • Kim, Sun-Woong;Choi, Heung-Sik;Lee, Byoung-Hwa
    • Journal of Information Technology Applications and Management
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    • v.17 no.3
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    • pp.151-162
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    • 2010
  • Recent developments in financial market liberalization and information technology are accelerating the interdependence of national stock markets. This study explores the information spillover effect of the US stock market on the overnight and daytime returns of the Korean stock market. We develop a profitable intra-day trading strategy based on the information spillover effect. Our study provides several important conclusions. First, an information spillover effect still exists from the overnight US stock market to the current Korean stock market. Second, Korean investors overreact to both good and bad news overnight from the US. Therefore, there are significant price reversals in the KOSPI 200 index futures prices from market open to market close. Third, the overreaction effect is different between weekdays and weekends. Finally, the suggested intra-day trading system based on the documented overreaction hypothesis is profitable.

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A deep learning analysis of the Chinese Yuan's volatility in the onshore and offshore markets (딥러닝 분석을 이용한 중국 역내·외 위안화 변동성 예측)

  • Lee, Woosik;Chun, Heuiju
    • Journal of the Korean Data and Information Science Society
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    • v.27 no.2
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    • pp.327-335
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    • 2016
  • The People's Republic of China has vigorously been pursuing the internationalization of the Chinese Yuan or Renminbi after the financial crisis of 2008. In this view, an abrupt increase of use of the Chinese Yuan in the onshore and offshore markets are important milestones to be one of important currencies. One of the most frequently used methods to forecast volatility is GARCH model. Since a prediction error of the GARCH model has been reported quite high, a lot of efforts have been made to improve forecasting capability of the GARCH model. In this paper, we have proposed MLP-GARCH and a DL-GARCH by employing Artificial Neural Network to the GARCH. In an application to forecasting Chinese Yuan volatility, we have successfully shown their overall outperformance in forecasting over the GARCH.

Toward Research Collaboration Between Korea and Russia: KSGPC's Research Activities and Corporational Issues in Geomatics

  • KIM, Kam-Lea;LEE, Ho-Nam;KIM, Uk-Nam
    • Korean Journal of Geomatics
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    • v.3 no.2
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    • pp.81-86
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    • 2004
  • In recent years, the importance of geospatial data have been emphasized not only for the national GIS programs and but also in the value added commercial and industry markets. There is no doubt that GIS, GPS, aerial and satellite imagery data were provided powerful tools to support national information infrastructure for geospatial database. While great emphasis has been laid on the geospatial data, there has been little analysis or evaluation of how to maximize the benefits of using these information sources. Also, with the proliferation of geographic data and information sources such as satellite imagery, digital aerial photograph, digital topographic and vector data, there is a great need to inform professionals from all disciplines as to the benefits of these information sources and how to best put them to use within any given application. From the first publication of KSGPC(Korean Society of Geodesy, Photogrammetry and Cartography) papers in 1981, our objective was, and is, to help develop the wider spectrum of GIS in the academy and industry by exposing new users to the benefits of GIS, remote sensing, mapping, GPS and photogrammetry. In this presentation, we will introduce KSGPC works and will evaluate GIS-related governmental policies and programs in Korea for the past and the future to present different status between Korea and Russia. It is now important to investigate lessons learnt from two countries' experiences and developed an empirical framework to combine outcome from GIS-related researches in Korea and Russia. This may enable GIS professionals to gain a wider range of experiences in the international context, and consequently, help them to develop new markets for GIS. Therefore, we arranged the possible action items and interesting points to corporate and to promote the academic growth in the practice of GIS.

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An intelligent early warning system for forecasting abnormal investment trends of foreign investors (외국인 투자자의 비정상적 중·장기매도성향패턴예측을 위한 지능형 조기경보시스템 구축)

  • Oh, Kyong Joo;Kim, Young Min
    • Journal of the Korean Data and Information Science Society
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    • v.24 no.2
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    • pp.223-233
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    • 2013
  • At local emerging stock markets such as Korea, Hong Kong, Singapore and Taiwan, foreign investors (FI) are recognized as important investment community due to the globalization and deregulation of financial markets. Therefore, it is required to monitor the behavior of FI against a sudden enormous selling stocks for the concerned local governments or private and institutional investors. The main aim of this study is to propose an early warning system (EWS) which purposes issuing a warning signal against the possible massive selling stocks of FI at the market. For this, we suggest machine learning algorithm which predicts the behavior of FI by forecasting future conditions. This study is empirically done for the Korean stock market.

Comparison Study between Institutional Response to Security Risks of the EU's Revised Payment Services Directive and Domestic Electronic Finance Regulation (개정된 유럽연합 지급결제서비스지침의 보안위험에 대한 제도적인 대응과 관련 국내 전자금융 규제와의 비교 연구)

  • Kim, Hyun Boo;Kim, In Seok
    • The Journal of Society for e-Business Studies
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    • v.24 no.4
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    • pp.79-107
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    • 2019
  • Traditionally banks and other financial institutions use customers' accounts and information managed by them and provide payment services in dominant positions. Recently, EU amends Payment Services Directive to institutionally guarantee access to customers' accounts and use of account-related information even to third parties, which facilitates competition in financial markets and promotes innovation. However, this kind of change can increase potential security risks and therefore institutional responses from financial authorities are required so that all participants in financial markets can properly respond to security risks. In this study institutional responses to the security risks in the EU's new Payment Services Directive (PSD2) are analyzed, comparisons between this and domestic electronic financial regulations are analyzed, and implications for the direction of improving domestic electronic financial regulations will be suggested.

An Incomplete Information Structure and An Intertemporal General Equilibrium Model of Asset Pricing With Taxes (일반균형하(一般均衡下)의 자본자산(資本資産)의 가격결정(價格決定))

  • Rhee, Il-King
    • The Korean Journal of Financial Management
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    • v.8 no.2
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    • pp.165-208
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    • 1991
  • This paper develops an intertemporal general equilibrium model of asset pricing with taxes under the noisy and the incomplete information structure and examines theoretically the stochastic behavior of general equilibrium asset prices in a one-good, production, and exchange economy in continuous time markets. The important features of the model are its integration of real and financial markets and the analysis of the effects of differential tax rates between ordinary income and capital gains. The model developed here can provide answers to a wide variety of questions about stochastic structure of asset prices and the effect of tax on them.

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Machine Learning Model for Recommending Products and Estimating Sales Prices of Reverse Direct Purchase (역직구 상품 추천 및 판매가 추정을 위한 머신러닝 모델)

  • Kyu Ik Kim;Berdibayev Yergali;Soo Hyung Kim;Jin Suk Kim
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.46 no.2
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    • pp.176-182
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    • 2023
  • With about 80% of the global economy expected to shift to the global market by 2030, exports of reverse direct purchase products, in which foreign consumers purchase products from online shopping malls in Korea, are growing 55% annually. As of 2021, sales of reverse direct purchases in South Korea increased 50.6% from the previous year, surpassing 40 million. In order for domestic SMEs(Small and medium sized enterprises) to enter overseas markets, it is important to come up with export strategies based on various market analysis information, but for domestic small and medium-sized sellers, entry barriers are high, such as lack of information on overseas markets and difficulty in selecting local preferred products and determining competitive sales prices. This study develops an AI-based product recommendation and sales price estimation model to collect and analyze global shopping malls and product trends to provide marketing information that presents promising and appropriate product sales prices to small and medium-sized sellers who have difficulty collecting global market information. The product recommendation model is based on the LTR (Learning To Rank) methodology. As a result of comparing performance with nDCG, the Pair-wise-based XGBoost-LambdaMART Model was measured to be excellent. The sales price estimation model uses a regression algorithm. According to the R-Squared value, the Light Gradient Boosting Machine performs best in this model.

Investigating Railway Market Trends based on the Characteristics of International Railway Business Orders (해외 철도사업 발주 특성에 따른 철도 시장 동향 분석)

  • Oh, Ji-Taek;Hwang, Seonkeun;Pyo, Sukhoon
    • Journal of the Korean Society for Railway
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    • v.19 no.6
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    • pp.785-791
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    • 2016
  • This research suggests feasible means for domestic railway industries to actively enter overseas railway markets by thoroughly analyzed the business trends of the expanding international railway markets and their characteristics. The 983 independent cases of international railway orders introduced in domestic markets during the past five years were analysed. In order to enhance the efficiency and consistency of the series of analysis, one classification system was established, and proportions of each category were assessed after the analysis of each piece of business information in the classification. It can be concluded from the analysis that early entrance into new projects with system design similar to that used in Korea will enrich the chances for domestic industries to enter the expanding international railway market, because Korean business is likely face competition from other companies for low-price contracts if the entering timing to the market is too late.

A Study on the Behavior Related to Brassieres Purchasing Decision Making of Elderly Women (노년여성의 브래지어 구매의사결정 관련행동에 관한 연구)

  • 박은미
    • Journal of the Korean Home Economics Association
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    • v.35 no.2
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    • pp.65-79
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    • 1997
  • This research is intended for 418 elderly women who reside in Seoul and the National Capital region. the survey and analysis are on the practical behavior related to purchasing decision making of brassieres for elderly women. The purpose of the survey and analysis is to induce contented and rational purchase activity for elderly women; also, to supply the fundamental sources which can support accomplishing scientific and systematic marketing activity to foundation manufacturing business. The main results of this study are as follows; 1. The elderly women tend to decide on purchase of the brassiere subjectively alone than rely on the informants and to listen to sales women's advice more. The younger, more educated and higher income of family, the elderly women tend more to depend on their own subjective sense than others' recommendations and rely on such mass media as TV and magazines for information source. 2) The elderly women tend to purchase their brassieres personally. In particular, the younger, more educated and higher income they tend more to choose their brassieres alone rather than with others. 3) The companions for elderly women's purchase were their daughter, daughter-in-law and friends. The younger, more educated and higher income, they tend more to accompany friends. The older, less educated and lower income, they tend more to be accompanied by their daughter or daughter-in-lay. 4) The elderly women are aware of the trademarks for brassieres. Although most of them know about their brassiere size, the majority of them tend to purchase their brassieres without trying on them. the older, less educated and lower income, they are less aware of trademarks and their brassiere size, and thus are less influential in their purchasing decision making. 5) The places of purchasing on which elderly women rely most for their brassiere are department stores, agent and markets. Other places are private haberdashery's, discount and pension shop. The department stores are most used by the less younger, more educated and higher income, while the markets are most often visited by those older, less educated and lower income, while the markets are most often visited by those older, less educated and lower income. The agent are favored by the medium class old people between two extremes.

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A Study of Pre-assessment Framework for Business Environment for Delivering Projects in a New Overseas Market (해외 신규 시장의 프로젝트를 수행하기 위한 사업환경 사전조사 프레임웍에 관한 연구)

  • Oh, Jungkeun
    • Korean Journal of Construction Engineering and Management
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    • v.16 no.3
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    • pp.78-90
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    • 2015
  • Due to a significant decrease in the number of construction projects in the domestic market of Korea, overseas expansion of the Korean construction companies has been accelerated in recent years. However, the practice of bidding at a low price and lacking information about foreign new markets caused many companies to fail in their entries to these markets. As a measure to prevent such failures, this study has developed a framework which first defines the key research items that must be identified beforehand and then classifies them into a structured way so that the construction companies can actually use this framework to be better prepared for their forays into the new markets. The framework was actually applied for a construction project in Morocco, and its usefulness was proven by the user's successful participation into the project, nevertheless the application and result was limited. Although perhaps this framework should be applied to many more construction projects for its validity to be verified and for its structure to be better standardized, the framework still has its value due to the following two reasons: first, it has systemized the research items that had been only conceptually defined but had never been organized, and second it can be utilized as a investigation tool at the marketing stage.