• Asian Pacific Journal of Cancer Prevention
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• v.16 no.9
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• pp.3729-3734
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• 2015

Background: Although cervical cancer is preventable and early screening might decrease the associated mortality, challenges faced by the women and health care providers can postpone early detection. This qualitative study aimed to establish patient and provider perceptions about personal and socio-cultural barriers for cervical cancer screening in Mashhad, Iran. Materials and Methods: In the present study, which was conducted in 2012, eighteen participants, who were selected purposefully, participated in individual in-depth, semi-structured interviews, which were recorded, transcribed verbatim, and analyzed using conventional content analysis and Atlas-Ti software. Results: One theme and two categories were derived from data including: cognitive/behavioral factors (lack of a community-based approach to cervical cancer, lack of awareness, wrong attitude and lack of health seeking behaviors) and socio/cultural issues (socio-cultural invasion, mismatch between tradition, modernity and religious, extra marital relationships and cultural taboos). Conclusions: Providing community based approach education programs and employing social policy are needed for preventing of cervical cancer in Iran.

• Journal of Construction Engineering and Project Management
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• v.2 no.4
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• pp.1-10
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• 2012

Building Information Modeling (BIM) and its different work streams, such as 4D planning (4D), are among the major drivers for change in the construction industry. The primary aim of this research is to create a holistic map of both the barriers and drivers affecting the industrial uptake of BIM and 4D through the use of an extensive literature review and a survey of contractors and consultants from the UK AEC (Architectural, Engineering and Construction) industry. This research demonstrates that while non-technical barriers such as the inefficiency in the evaluation of the business value of BIM and 4D; the shortage of experience within the workforce, and the lack of awareness by stakeholders are recognized by professionals as main barriers to BIM and 4D adoption, current research is still largely concerned with technical advancement of BIM and 4D technologies. A holistic map of the driving and restraining forces affecting BIM and 4D widespread adoption was provided. The tackling of the non-technical barriers identified will help bridge the gap between technology, end-users and their processes.

• The Journal of Asian Finance, Economics and Business
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• v.1 no.3
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• pp.5-16
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• 2014

This study aims to examine the dynamics of price changes and trading volume of Kuala Lumpur Options and Financial Futures Exchange (KLOFFE) from 2000 to 2008. With augmented analysis, our results support two hypotheses. First, under information spillover, our findings support noise traders' hypothesis as the time span for variance of past trading volume to cause variance of current return is found to be asymmetric under bull and bear markets. Second, looking at the dynamic relation between volume and volatility of price changes, our findings support Liquidity-Driven Trade hypothesis as past trading volume and subsequent volatility of return exhibit positive correlation. In terms of investors' behavior in response to the news, we find that investors are more risk taking in bull market and more risk reverse in bear market. Our study suggests that investors should adjust their strategy in the futures market in a dynamic manner as the time span of new information arrival is not consistent. Also, uninformed investors with information asymmetry should expect noninformational trading from informed investors to establish their desired positions for better liquid position.

• Asia-Pacific Journal of Business
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• v.9 no.4
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• pp.85-97
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• 2018

This paper investigates factors underlying a decrease in trading values in KOSPI 200 futures/options market on the basis of the current state of the markets. Among the factors that could affect trading values in KOSPI 200 derivatives market, we focus on the market activity of underlying assets as it has an impact on the trading of financial derivatives. Trading value and volatility are designated as market activity and the empirical results confirm that the market activity of the underlying assets is significant in explaining the decrease in trading values in KOSPI 200 futures/options market. To figure out fundamental reasons of the decrease in trading values in this market, we examine mitigation of home bias and decrease in leverage incentives as they are presumed to have influence on KOSPI 200 index market. As the global and local financial environment is time-varying, the degree of home bias and the leverage demand also changes. It implies that institutional change and/or policy effort to promote the trading of KOSPI 200 financial derivatives should be made taking into account the fact that considerable portion of the change in trading values in financial derivatives market depends on the state of the market.

• The Korean Journal of Financial Management
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• v.21 no.1
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• pp.205-229
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• 2004

The deviation from put-call parity condition may affect market prices since it provides an opportunity of arbitrage to many participants. This study uses the KOSPI200 index data and examines the interdependence among spot, futures, and options contracts by examining whether the deviations from the parity have significant roles in price formation. Whenever the parity condition is violated, the deviation tends to affect the prices significantly in most markets. The results show that positive values of deviation are associated with the fall of the prices in the spot and put option contracts and the rise of the call option premiums, thus decreasing the deviations. Also, the decreasing impact of deviations lasts for at Beast an hour in most markets. Futures prices, however, do not show clear relations with the deviations, which suggests the possibility that futures markets lead other markets.

• Management & Information Systems Review
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• v.33 no.1
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• pp.45-63
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• 2014

A trading system is a computer trading program that automatically submits trades to an exchange. Mechanical a trading system to execute trade is spreading in the stock market. However, a trading system to trade a single asset might occur instability of the profit because payoff of this system is determined a asset movement. Therefore, it is necessary to develop a trading system that is trade two assets such as a pair trading that is to sell overvalued assets and buy the undervalued ones. The aim of this study is to propose a relative value based trading system designed to yield stable and profitable profits regardless of market conditions. In fact, we propose a procedure for building a trading system that is based on the rough set analysis of indicators derived from a price ratio between two assets. KOSPI 200 index futures and S&P 500 index futures are used as a data for evaluation of the proposed trading system. We intend to examine the usefulness of this model through an empirical study.

• Proceedings of the Korea Society of Design Studies Conference
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• 2001.10a
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• pp.21.2-21
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• 2001

• The Journal of Information Technology
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• v.8 no.4
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• pp.75-90
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• 2005

In this paper I examined trades of general bank In KTB212 Futures for patterns which are best described by the behavioral finance literature. I reported the statistics for traders of profit or loss traders, number of traders, total trader gross trading income, revenue per contract. Thess results are acquired from the revenue scale and the trade contract scale. When traders are ranked on the basis of performance, successful winning traders are short positions in the KTB212. This result appears more faithful to large scale traders. The evidence suggests that large traders are able to act on the information flow. The measure of success is as total income, and the relationship between position holding and success is clear.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.36 no.4
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• pp.123-129
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• 2013

The aim of this study is to design an intelligent pattern-based real-time trading system (PRTS) using rough set analysis of technical indicators, dynamic time warping (DTW), and genetic algorithm in stock futures market. Rough set is well known as a data-mining tool for extracting trading rules from huge data sets such as real-time data sets, and a technical indicator is used for the construction of the data sets. To measure similarity of patterns, DTW is used over a given period. Through an empirical study, we identify the ideal performances that were profitable in various market conditions.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.19 no.4
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• pp.17-23
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• 2005

The street lighting needs to provide safe and comfortable environment together with producing good atmosphere suitable for the pedestrian's various needs. Thus, the choice of the street lighting futures should be based on the needs of the them and the needs of the street rather than the precedences or appearances. This study proposes street lighting futures based on the need of the street lighting and their operation plan, and also analyzes the problems of current fixtures.