• Title/Summary/Keyword: industry portfolios

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The current situation and development strategies of the Fashion Creative Studios in Korea (국내 패션창작스튜디오의 현황과 발전에 대한 연구)

  • Kim, Hee young;Ha, Jisoo
    • The Research Journal of the Costume Culture
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    • v.26 no.3
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    • pp.265-281
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    • 2018
  • Government policy supporting the fashion industry in Korea has focused on the future development of rising fashion designer's brands, and as a part of this support, several Fashion Creative Studios are presently operated. The purpose of this study is to identify the meaning of these facilities and suggest development strategies for their effective utilization. This paper presents a conceptual understanding based on a literature review, and deduces the direction of Fashion Creative Studios through an exploratory analysis of various case studies and in-depth interviews with five designers, who have graduated from the Seoul Fashion Creative Studio. The results are as follows. Firstly, fashion educational institutions have to provide sufficient information about the Fashion Creative Studios to students. They can also consider adding short-term residencies to the curriculum in which students prepare collections or portfolios for the studios. Secondly, Fashion Creative Studios are required to intensify business and marketing programs to increase real-world support. It would be helpful to provide 1:1 management programs with several segmented stages for the design brands, or connect them to investors who could provide financial support and business expansion. Thirdly, Fashion Creative Studios need to find a way to strengthen textile differentiation and craft characteristics to increase designer brand competitiveness. Broadening participation with textile designers, connecting with experts and ateliers, and promoting collaboration with artists and artisans in the Arts Creative Studios can be further examined to this end.

A deep learning analysis of the KOSPI's directions (딥러닝분석과 기술적 분석 지표를 이용한 한국 코스피주가지수 방향성 예측)

  • Lee, Woosik
    • Journal of the Korean Data and Information Science Society
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    • v.28 no.2
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    • pp.287-295
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    • 2017
  • Since Google's AlphaGo defeated a world champion of Go players in 2016, there have been many interests in the deep learning. In the financial sector, a Robo-Advisor using deep learning gains a significant attention, which builds and manages portfolios of financial instruments for investors.In this paper, we have proposed the a deep learning algorithm geared toward identification and forecast of the KOSPI index direction,and we also have compared the accuracy of the prediction.In an application of forecasting the financial market index direction, we have shown that the Robo-Advisor using deep learning has a significant effect on finance industry. The Robo-Advisor collects a massive data such as earnings statements, news reports and regulatory filings, analyzes those and recommends investors how to view market trends and identify the best time to purchase financial assets. On the other hand, the Robo-Advisor allows businesses to learn more about their customers, develop better marketing strategies, increase sales and decrease costs.

Optimization of Information Security Investment Portfolios based on Data Breach Statistics: A Genetic Algorithm Approach (침해사고 통계 기반 정보보호 투자 포트폴리오 최적화: 유전자 알고리즘 접근법)

  • Jung-Hyun Lim;Tae-Sung Kim
    • Information Systems Review
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    • v.22 no.2
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    • pp.201-217
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    • 2020
  • Information security is an essential element not only to ensure the operation of the company and trust with customers but also to mitigate uncertain damage by preventing information data breach. Therefore, It is important to select appropriate information security countermeasures and determine the appropriate level of investment. This study presents a decision support model for the appropriate investment amount for each countermeasure as well as an optimal portfolio of information countermeasures within a limited budget. We analyze statistics on the types of information security breach by industry and derive an optimal portfolio of information security countermeasures by using genetic algorithms. The results of this study suggest guidelines for investing in information security countermeasures in various industries and help to support objective information security investment decisions.

A Study on Industries's Leading at the Stock Market in Korea - Gradual Diffusion of Information and Cross-Asset Return Predictability- (산업의 주식시장 선행성에 관한 실증분석 - 자산간 수익률 예측 가능성 -)

  • Kim Jong-Kwon
    • Proceedings of the Safety Management and Science Conference
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    • 2004.11a
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    • pp.355-380
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    • 2004
  • I test the hypothesis that the gradual diffusion of information across asset markets leads to cross-asset return predictability in Korea. Using thirty-six industry portfolios and the broad market index as our test assets, I establish several key results. First, a number of industries such as semiconductor, electronics, metal, and petroleum lead the stock market by up to one month. In contrast, the market, which is widely followed, only leads a few industries. Importantly, an industry's ability to lead the market is correlated with its propensity to forecast various indicators of economic activity such as industrial production growth. Consistent with our hypothesis, these findings indicate that the market reacts with a delay to information in industry returns about its fundamentals because information diffuses only gradually across asset markets. Traditional theories of asset pricing assume that investors have unlimited information-processing capacity. However, this assumption does not hold for many traders, even the most sophisticated ones. Many economists recognize that investors are better characterized as being only boundedly rational(see Shiller(2000), Sims(2201)). Even from casual observation, few traders can pay attention to all sources of information much less understand their impact on the prices of assets that they trade. Indeed, a large literature in psychology documents the extent to which even attention is a precious cognitive resource(see, eg., Kahneman(1973), Nisbett and Ross(1980), Fiske and Taylor(1991)). A number of papers have explored the implications of limited information- processing capacity for asset prices. I will review this literature in Section II. For instance, Merton(1987) develops a static model of multiple stocks in which investors only have information about a limited number of stocks and only trade those that they have information about. Related models of limited market participation include brennan(1975) and Allen and Gale(1994). As a result, stocks that are less recognized by investors have a smaller investor base(neglected stocks) and trade at a greater discount because of limited risk sharing. More recently, Hong and Stein(1999) develop a dynamic model of a single asset in which information gradually diffuses across the investment public and investors are unable to perform the rational expectations trick of extracting information from prices. Hong and Stein(1999). My hypothesis is that the gradual diffusion of information across asset markets leads to cross-asset return predictability. This hypothesis relies on two key assumptions. The first is that valuable information that originates in one asset reaches investors in other markets only with a lag, i.e. news travels slowly across markets. The second assumption is that because of limited information-processing capacity, many (though not necessarily all) investors may not pay attention or be able to extract the information from the asset prices of markets that they do not participate in. These two assumptions taken together leads to cross-asset return predictability. My hypothesis would appear to be a very plausible one for a few reasons. To begin with, as pointed out by Merton(1987) and the subsequent literature on segmented markets and limited market participation, few investors trade all assets. Put another way, limited participation is a pervasive feature of financial markets. Indeed, even among equity money managers, there is specialization along industries such as sector or market timing funds. Some reasons for this limited market participation include tax, regulatory or liquidity constraints. More plausibly, investors have to specialize because they have their hands full trying to understand the markets that they do participate in

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A Study on the Corporate Portfolio Risk Management for Multinational Construction Company (대형건설업체의 해외건설공사 포트폴리오 리스크 관리에 관한 연구)

  • Han Seung-Heon;Lee Young;Kim Hyung-Jin;Ock Jong-Ho
    • Korean Journal of Construction Engineering and Management
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    • v.2 no.2 s.6
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    • pp.68-80
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    • 2001
  • While opportunities for international construction firms have been growing with globalization, the risk of international construction projects is significantly increasing in severity and complexity. However, the traditional risk management approach in the construction industry has maintained a profit focus. In addition, this approach has not considered the overall risk at the corporate level, but rather has focused only on the risk of individuals at the project level. Corporate risk management should be implemented from the initial stages of new project selection. This paper suggests the Multi-criteria Integrated Systematic Analysis as a strategic decision-making tool for international construction contractors. The model integrates the multi-criteria of risk, return, and efficiency to choose the optimal set of new portfolios at the corporate level. This model also introduces the Value at Risk (VaR) concept to the international construction industry to present the total risk at the corporate level. To validate this model, this paper tested an experimental case study using the historical data of a global general contractor.

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An Efficiency Analysis of Industry-University-Public Research Institute Collaborative Research: Employing the Input-Output Itemization Model (투입 및 산출 분해모형을 활용한 산학연 협력연구의 효율성 분석)

  • Kim, Hong-Young;Chung, Sunyang
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.18 no.12
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    • pp.473-484
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    • 2017
  • This study analyzed collaborative R&D projects funded by the Korean government from 2013-2015. For this analysis, input and output variables of projects were considered, and a combination of those variables was itemized. The output-oriented variable return to scale (VRS) model extended from the DEA methodology was adopted to evaluate the cooperation efficiency of the types of R&D collaboration, which were classified according to the project leader's organizations. In addition, hierarchical cluster analysis was conducted using the efficiency results of the scientific, technical, and economical outcome models. The results showed that cooperation efficiency between large companies and public research institutions was relatively high. Conversely, cooperation among medium-sized companies, small businesses and universities was particularly inefficient. The clustering results demonstrated the various strengths and weaknesses of the types depending on publications, patents, technical loyalties and the number of commercialization. In conclusion, this study suggests differentiated investment portfolios and strategies based on the efficiency results of diverse cooperation types among industries, universities and public research institutions.

Information in the Implied Volatility Curve of Option Prices and Implications for Financial Distribution Industry (옵션 내재 변동성곡선의 정보효과와 금융 유통산업에의 시사점)

  • Kim, Sang-Su;Liu, Won-Suk;Son, Sam-Ho
    • Journal of Distribution Science
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    • v.13 no.5
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    • pp.53-60
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    • 2015
  • Purpose - The purpose of this paper is to shed light on the importance of the slope and curvature of the volatility curve implied in option prices in the KOSPI 200 options index. A number of studies examine the implied volatility curve, however, these usually focus on cross-sectional characteristics such as the volatility smile. Contrary to previous studies, we focus on time-series characteristics; we investigate correlation dynamics among slope, curvature, and level of the implied volatility curve to capture market information embodied therein. Our study may provide useful implications for investors to utilize current market expectations in managing portfolios dynamically and efficiently. Research design, data, and methodology - For our empirical purpose, we gathered daily KOSPI200 index option prices executed at 2:50 pm in the Korean Exchange distribution market during the period of January 2, 2004 and January 31, 2012. In order to measure slope and curvature of the volatility curve, we use approximated delta distance; the slope is defined as the difference of implied volatilities between 15 delta call options and 15 delta put options; the curvature is defined as the difference between out-of-the-money (OTM) options and at-the-money (ATM) options. We use generalized method of moments (GMM) and the seemingly unrelated regression (SUR) method to verify correlations among level, slope, and curvature of the implied volatility curve with statistical support. Results - We find that slope as well as curvature is positively correlated with volatility level, implying that put option prices increase in a downward market. Further, we find that curvature and slope are positively correlated; however, the relation is weakened at deep moneyness. The results lead us to examine whether slope decreases monotonically as the delta increases, and it is verified with statistical significance that the deeper the moneyness, the lower the slope. It enables us to infer that when volatility surges above a certain level due to any tail risk, investors would rather take long positions in OTM call options, expecting market recovery in the near future. Conclusions - Our results are the evidence of the investor's increasing hedging demand for put options when downside market risks are expected. Adding to this, the slope and curvature of the volatility curve may provide important information regarding the timing of market recovery from a nosedive. For financial product distributors, using the dynamic relation among the three key indicators of the implied volatility curve might be helpful in enhancing profit and gaining trust and loyalty. However, it should be noted that our implications are limited since we do not provide rigorous evidence for the predictability power of volatility curves. Meaning, we need to verify whether the slope and curvature of the volatility curve have statistical significance in predicting the market trough. As one of the verifications, for instance, the performance of trading strategy based on information of slope and curvature could be tested. We reserve this for the future research.

A Study on the Trend of Healthcare Device Technology by Biometric Signal (생체신호를 통한 헬스케어 디바이스 기술 동향 연구)

  • Choi, Kyoung-Ho;Yang, Eun-Seok
    • Journal of Korea Entertainment Industry Association
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    • v.14 no.2
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    • pp.165-176
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    • 2020
  • Customized medical care and services timely providing effective prevention and treatment by collecting and using individuals' biomedical data are recently possible and utilized for users' health care. They are developed as the real-time health care services and information is provided to individuals by using smart phones, PC, tablet, etc. Interactive communication is supported by informing managers of analysis data and results, through collected data. It is therefore the time for constructing health care. This study attempts to prepare for patent applications of technical development at this time, by analyzing the tendency of smart wearable health care technologies, including biological signal-based health care devices and real-time health care system. Patents regarding smart wearable health care technologies were reported to have the relatively higher concentration of research development. Korea focuses on patent activities for real-time health care systems across the intervals of analysis, while U.S and European countries actively make efforts for patent activities regarding health care devices Japan conduct patent activities across health care devices and systems, based on bio-technologies. Korea has recently dominated the market of patents for bio-technologies-based health care devices and real-time health care devices and also appears to secure patents for the technologies and the market, so entry barriers to the market of smart wearable health care technologies are determined to be higher in Korea. It is important to establish the portfolios of patents, by securing patent rights for the figures of products, manufacturing methods and other related technical systems, if technologies are planned to be commercialized.

An Evaluation of Effectiveness for Providing Safety Navigation Supporting Service : Focused on Route Plan Sharing Service (안전 항해 지원 서비스 제공에 대한 유용성 평가(I) : 항로 계획 공유 서비스를 대상으로)

  • Hwang, Hun-Gyu;Kim, Bae-Sung;Shin, Il-Sik;Lee, Jang-Se;Yu, Yung-Ho
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.21 no.3
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    • pp.620-628
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    • 2017
  • In this paper, we suggest a route plan sharing service for the navigation assistance service which is the second item of 16 items in maritime service portfolios (MSPs) for safety navigation based on interview process. Also, we developed scenarios for effectiveness evaluation of the proposed service, and conducted simulations using full mission ship handling simulator (FMSS) for effectiveness evaluation of proposed services based on the developed scenarios. Through the simulations, we analyzed proximity measures, controllability statistics and subjective evaluations to assess the usefulness of suggested service. If accomplishing the test for new services to apply real ships and vessel traffic (VTS) center, there has possibilities to occur various risks in terms of time/cost problems. Therefore, there is needs for the preliminary effectiveness evaluation processes necessarily when adopts and implements new services. Because we expected the service that is helpful for safety navigation, but the test results are not when conducted a simulation.

Evaluating the Economic Feasibility of Green Construction Projects using FiT and CDM Support Mechanisms (녹색 건설 사업의 FiT 및 CDM 보조방안에 의한 수익성 향상 분석에 관한 연구)

  • Koo, Bonsang
    • Korean Journal of Construction Engineering and Management
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    • v.14 no.3
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    • pp.123-133
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    • 2013
  • Green infrastructure projects have the potential to reduce global warming and deliver sustainable energy solutions. Recently, the construction industry has been expanding their portfolios in New and Renewable (NRE) projects. However, the economic feasibility of NRE projects have not been validated and construction companies are not acquainted with their associated risks. This research performed a two-tiered feasibility study of the domestic projects registered for CDM in the UNFCCC. The first phase involved calculating the average IRR and NPV of the domestic CDM projects, which showed that their profitability to be very low. In the second phase, four NRE projects (Solar, Wind, Hydro, Landfill Gas) were selected and additional income generated from Feed-in-Tariff and CER sales were added to determine the improvements in the projects' IRR and NPV. Results indicate that Solar and Landfill Gas projects benefited the most from the two support mechanisms, while benefits to Wind and Hydro projects were minimal. While the Landfill Gas project had the highest IRR, the Wind project was the most investment attractive due to its NPV and minimal dependency on FiT and CER sales. Construction companies should enter into NRE projects with a long term view as related technologies mature.