• Title/Summary/Keyword: 주중요일별효과

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A Study on The Day of Week Effect in International Stock Markets : Focusing on the Settlement and Clearing Procedure (세계증권시장에서 주중 요일별 수익률 효과 분석의 연구 : 결제청산과정을 중심으로)

  • Kim, Kyung-Won
    • The Korean Journal of Financial Management
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    • v.20 no.2
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    • pp.201-234
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    • 2003
  • This paper examines the day of the week effect focusing on the effect of the settlement procedures on the stock price in seven major international stock markets. Settlement dates or procedures may have an effect on rate of return distributions in international stock markets. Those Settlement procedures are different among various international stock markets. Furthermore, several international stock markets change their systems of settlement procedures. On the New York stock exchanges, stock transactions are settled in five business days after the transaction. However, they changed settlement procedures from five business days to three business days from 1995. Those settlement procedures on the London stock exchanges and the Paris stock exchanges were changes from the fixed settlement date systems to the fixed settlement lag systems. Thus, this paper examines the effect of the changes in settlement procedures on the stock price in several stock markets. I found that changes of settlement dates or procedures have an effect on the rate of return distributions for specific days in some stock markets. This paper also examines the day of the week effect for seven international stock markets. I found that strong weekend effect before the period of 1990. However, the weekend effect has disappeared during the period from 1990 to 2002 in international stock markets.

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Usage based mobile menu optimization (사용량 기반의 모바일 메뉴 최적화 - 요일제 메뉴 개발을 통한 모바일 서비스 이용 활성화)

  • Kim, Hyun-Ho;Kim, Sang-Woo;Jung, Myoung-Sook;Yun, Kwang-Ho
    • 한국HCI학회:학술대회논문집
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    • 2008.02b
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    • pp.376-379
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    • 2008
  • People are experiencing severe navigation problems in mobile site Relatively limited research, however, has been conducted on mobile site navigation compared to web site navigation. This research aims to identify efficient mobile site navigation aids for timely preferred contents. It proposed timely menu system based on statistic data, and evaluates its efficiency through commercial beta test. We conducted a beta test in the fourth quarter of the year 2007. The total number of user is 12,000. The average number of PV (page view) by the experimental group was increased to 10% more than control group. Our results indicate that timely menu system helps people navigate mobile menu system more effectively.

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Estimation of Flow Population of Seoul Walking Tour Courses Using Telecommunications Data (통신 데이터를 활용한 도보관광코스 유동인구 추정 및 분석)

  • Park, Ye Rim;Kang, Youngok
    • Journal of Cadastre & Land InformatiX
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    • v.49 no.1
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    • pp.181-195
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    • 2019
  • This study aims to analyze the spatial context by analyzing the flow characteristics of the walking tour course and visualizing effectively using the floating population data constructed through the communication data. The floating population data refinement algorithm was developed for estimation flow population along the road and the floating population data for each walking tour courses was constructed. In order to adopt the algorithm for forming suitable for the analysis of the walking tour courses, the estimation of floating population considering the area of the road and the estimation of floating population considering the value of floating population around the road were compared. As a result, the estimation of floating population considering ambient the values of flow population was adopted, which is more appropriate to apply analysis method due to the relatively consistent data. Then, a datamining algorithm for walking tour course was constructed according to the characteristics of the floating population data, the absence of missing values. Finally, this study analyzed the flow characteristics and spatial patterns of 18 walking trails in Seoul through the floating population data according to walking tour course. To do this, the kernel density analysis and the Getis-Ord $G^*_i$ statistical hotspot analysis were applied to visualize the main characteristics of each walking tour course.