• 제목/요약/키워드: Time-to-market

검색결과 3,804건 처리시간 0.03초

Identifying Cryptocurrency Regulation Effects on Bitcoin Price : An Empirical Case in South Korea

  • ;전성민
    • 한국벤처창업학회:학술대회논문집
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    • 한국벤처창업학회 2018년도 춘계학술대회
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    • pp.187-190
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    • 2018
  • The study examines the effects of the regulation on cryptocurrency market, investigating a case in South Korea. As South Korea has one of the largest market share of the cryptocurrency market for the time being, its regulation in South Korea affected the entire markets around the World. This research in progress will use the method of difference-in-differences to assess the effects of regulation to the market. The findings indicate that there is a significant reduction of the Bitcoin price and the price volatility was significantly reduced by about 58% after the regulation of the cryptocurrency market. More so the trading activity indicates a huge decline after regulation was implemented.

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Splitting Algorithm Using Total Information Gain for a Market Segmentation Problem

  • Kim, Jae-Kyeong;Kim, Chang-Kwon;Kim, Soung-Hie
    • 한국경영과학회지
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    • 제18권2호
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    • pp.183-203
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    • 1993
  • One of the most difficult and time-consuming stages in the development of the knowledge-based system is a knowledge acquisition. A splitting algorithm is developed to infer a rule-tree which can be converted to a rule-typed knowledge. A market segmentation may be performed in order to establish market strategy suitable to each market segment. As the sales data of a product market is probabilistic and noisy, it becomes necessary to prune the rule-tree-at an acceptable level while generating a rule-tree. A splitting algorithm is developed using the pruning measure based on a total amount of information gain and the measure of existing algorithms. A user can easily adjust the size of the resulting rule-tree according to his(her) preferences and problem domains. The algorithm is applied to a market segmentation problem of a medium-large computer market. The algorithm is illustrated step by step with a sales data of a computer market and is analyzed.

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미국자동차시장의 구조분석 (Market Structure Analysis of Automobile Market in U.S.A)

  • 최인혜;이서구;이성근
    • 마케팅과학연구
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    • 제18권1호
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    • pp.141-156
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    • 2008
  • 본 연구는 미국의 자동시장의 시장구조를 분석한 것이다. 자동차 시장의 구조분석는 제품의 특성이 냐내구재라는 점에서 의의가 있다. 그 동안 시장구조분석은 일반포장소비재를 중심으로 분석되어 왔으나 자동차의 시장구조분석는 자동차의 구매주기가 장기간이며, 다음 구매는 많은 소비자가 상위차급으로 이동한다는 점에서 기존의 분석에 사용되었던 상표전환자료를 사용하는데 한계가 있다. 이 때문에 본 연구에서는 구매고려상표군을 중심으로 우사성지수로 사용하여 시장구조분석을 하였다. 자료는 미국의 자동차구매에 관한 이차자료를 활용하였으며, 자료의 특성상 일부차종에 한정하여 사용하였다. 크게 세가지 형태-비용, 비용-형태, 비구조화의 가설적 시장을 비교분석하였으며, 결과적으로 형태-비용 구조가 가장 우수한 것으로 판단되었다.

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시유의 보존기간 및 온도에 따른 일반 유성분 및 산가의 변화 (Changes of the goneral components and acid value in market milks according to the preserving periods and temperature)

  • 김성숙;김미숙;도재철;윤문조;이차우;박희주;신대길;정종식
    • 한국동물위생학회지
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    • 제23권2호
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    • pp.165-170
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    • 2000
  • This study was carried out to investigate the changes of physical and chemical properties according to the preserving periods and temperature in heat-treated market milks ($130^{\circ}C$, 2 sec). The market ilks were divided into 3 experimental groups, that is $4^{\circ}C$, $15^{\circ}C$ and $30^{\circ}C$ according to the preserving temperature during 7 days. There were analysed fat, protein, lactose, total solids, solids-not-fat, specific gravity and acid value of market milks in each experimental group. These observations indicated that heat-treated market milks ($130^{\circ}C$, 2 sec) may be acceptable physically and chemically after 7 days at $4^{\circ}C$. The results obtained were summarized as follows ; 1. Total microorganisms in market milks were found 12$\times$$10^1$ cells at 1st day Coliform and pathogenic bacteria were not detected. 2. Milk fats tended to decrease 3.69% to 3.48% according to the time lapsed in all experimental groups without concerning to the storage temperature. 3. Milk proteins were slowly decreased 3.18% to 3.13% according to the time lapsed without concerning to the storage temperature. 4. Milk lactose was slightly increased 4.41% to 4.55% in all experimental groups. 5. Specific gravity in market milks was 1.0316 to 1.0299, and showed no changes according to the preserving periods and temperature. 6. Total solids and solids-not-fat in market milks were slightly decreased 12.30 to 12.05 and 8.55 to 8.40. 7. Acid values were dramatically increased 0.1289 to 0.3116 at $30^{\circ}C$ storage group, while tended to be stable at $4^{\circ}C$ storage group for 7 days.

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시장 공포, 불확실성, 주식시장, 해상운임지수가 원유시장의 위험-수익 관계에 미치는 영향 (The impact of market fear, uncertainty, stock market, and maritime freight index on the risk-return relationship in the crude oil market)

  • 최기홍
    • 한국항만경제학회지
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    • 제38권4호
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    • pp.107-118
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    • 2022
  • 본 연구에서는 원유시장을 대상으로 위험-수익 관계와 시장 공포, 불확실성, 주식시장, 해상운임지수 사이의 연관성을 검증하기 위해 2002년 1월부터 2022년 6월까지 일별자료를 이용하여 분석하였다. 본 연구를 위해 위험-수익 관계는 TVP-EGARCH-M 모형을 적용하였으며, 시장 공포, 불확실성, 주식시장, 해상운임지수와의 관계를 분석하기 위해 웨이블릿 일치성 모형을 이용하였다. 본 연구의 분석결과는 다음과 같다. 첫째, 시간 가변적 위험-수익 관계 결과에 따르면, 원유시장도 높은 수익률과 높은 위험과 관련이 있는 것으로 나타났다. 둘째, 상관관계와 그랜져 인과관계 분석결과, 위험-수익 관계와 VIX, EPU, S&P500, BDI 사이에서 약한 상관관계가 존재하는 것으로 나타났다. 그리고 EPU, S&P500과 위험-수익 관계에서 양방향 인과관계가 존재하지 않는 것으로 나타났지만 VIX와 BDI는 위험-수익 관계에 영향을 주는 것으로 나타났다. 셋째, 웨이블릿 일관성 결과를 보면, 위험-수익 관계와 VIX, EPU, S&P500, BDI 간의 관계 정도는 시간 가변적인 것으로 나타났다. 특히, 위기기간(금융위기, 코로나19) 전후에 서로 간의 관계가 높은 것으로 나타났다. 그리고 장기에 연관성이 높은 것으로 나타났다. 또한 위험-수익 관계는 VIX, EPU와는 양(+)의 관계, S&P500, BDI와는 음(-)의 관계가 있는 것으로 나타났다. 따라서 시장참여자가 의사결정을 할 때 경제적인 환경 변화를 잘 인식해야 할 것이다.

국내 선물시장의 장기기억과 시장의 효율성에 관한 연구 (Long Memory and Market Efficiency in Korean Futures Markets)

  • 조대형
    • 아태비즈니스연구
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    • 제11권4호
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    • pp.255-269
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    • 2020
  • Purpose - This paper analyzes the market efficiency focusing on the long memory properties of the domestic futures market. By decomposing futures prices into yield and volatility and looking at the long memory properties of the time series, this study aims to understand the futures market pricing and change behavior and risks, specifically and in detail. Design/methodology/approach - This study analyzes KOSPI 200 futures, KOSDAQ 150 futures, 3 and 10-year government bond futures, US dollar futures, yen futures, and euro futures, which are among the most actively traded on the Korea Exchange. To analyze the long memory and market efficiency, we used the Variance Ratio, Rescaled-Range(R/S), Geweke and Porter-Hudak(GPH) tests as semi- parametric methods, and ARFIMA-FIGARCH model as the parametric method. Findings - It was found that all seven futures supported the efficiency market hypothesis because the property of long memory turned out not to exist in their yield curves. On the other hand, in futures volatility, all 7 futures showed long memory properties in the analysis, which means that if new information is generated in the domestic futures market and the market volatility once expanded due to the impact, it does not decrease or shrink for a long period of time, but continues to affect the volatility. Research implications or Originality - The results of this paper suggest that it can be useful information for predicting changes and risks of volatility in the domestic futures market. In particular, it was found that the long memory properties would be further strengthened in the currency futures and bond rate futures markets after the global financial crisis if the regime changes of the domestic financial market are taken into account in the analysis.

살균방법이 철분강화 우유의 저장중 품질변화에 미치는 영향 (Effect of Sterilizing Method on the Quality Change of Iron Fortified Market Milk during Storage)

  • 김윤지;김기성
    • 한국식품영양과학회지
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    • 제28권4호
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    • pp.755-759
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    • 1999
  • To evaluate the effect of sterilizing method on the quality of iron fortified market milk, HTST(high temperature, short time) or LTLT(low temperture, long time) method was adopted after addition of 100ppm ferrous sulfate, ferric citrate, ferric ammonium citrate, or ferrous lactate in market milk. Sterilized iron fortified market milk was stored at 4oC and then pH, lipid oxidation, color change, and sensory quality were observed. The range of pH change in iron fortified market milk sterilized by HTST or LTLT was 6.51~6.74. The order of pH was control>ferric ammonium citrate>ferrous lactate>ferrous sulfate>ferric citrate. Oxygen consumption of ferric ammonium citrate and ferric citrate was lower than ferrous lactate and ferrous sulfate. This trend was same in HTST and LTLT method, but generally oxygen consumption was lower in iron fortified market milk sterilized by LTLT method than by HTST. In total color change, ferrous lactate treatment was closer to control than other treatments. Also sensory characteristics of ferrous lactate treatment was showed better quality than other treatment. From these results, LTLT method was more suitable than HTST method for iron fortified market milk and ferrous lactate was comparably suitable among iron salts used in this study.

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신재생발전기의 데이터 취득방안에 대한 고찰 (Review on Data Acquisition of Renewable Power Generators)

  • 이봉길;김완홍;최준호
    • 한국태양에너지학회 논문집
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    • 제40권3호
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    • pp.1-20
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    • 2020
  • In accordance with the Government's policy, renewable power generation is expanding very largely. This leads to increasing uncertainty in the power market and power system owing to the intermittent and fluctuating output characteristics of renewable power generators. Data on the acquisition of renewable power generators can be largely classified according to the operation of the power market and power system. Data on the settlement for the payment for the power amount are acquired in the power market, and real-time data for monitoring the status and output of the generators are acquired in the power system. However, renewable power generators operating in the power market have different acquisition cycles depending on the method of communication of the power meter. They acquire data only for settlement purposes and have no real-time data, which requires improvement. In this paper, the acquisition status is reviewed by classifying the data of renewable power generators into settlement and real-time data. In addition, measures and acquisition criteria for real-time data of renewable power generators for improving the acquisition method are proposed.

Has Container Shipping Industry been Fixing Prices in Collusion?: A Korean Market Case

  • Jaewoong Yoon;Yunseok Hur
    • Journal of Korea Trade
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    • 제27권1호
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    • pp.79-100
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    • 2023
  • Purpose - The purpose of this study is to analyze the market power of the Korea Container Shipping Market (Intra Asia, Korea-Europe, and Korea-U.S.) to verify the existence of collusion empirically, and to answer whether the joint actions of liner market participants in Korea have formed market dominance for each route. Precisely, it will be verified through the Lerner index as to whether the regional market of Asia is a monopoly, oligopoly, or perfect competition. Design/methodology - This study used a Lerner index adjusted with elasticity presented in the New Imperial Organization (NEIO) studies. NEIO refers to a series of empirical studies that estimate parameters to judge market power from industrial data. This study uses B-L empirical models by Bresnahan (1982) and Lau (1982). In addition, NEIO research data statistically contain self-regression and stability problems as price and time series data. A dynamic model following Steen and Salvanes' Error Correction Model was used to solve this problem. Findings - The empirical results are as follows. First, λ, representing market power, is nearly zero in all three markets. Second, the Korean shipping market shows low demand elasticity on average. Nevertheless, the markup is low, a characteristic that is difficult to see in other industries. Third, the Korean shipping market generally remains close to perfect competition from 2014 to 2022, but extreme market power appears in a specific period, such as COVID-19. Fourth, there was no market power in the Intra Asia market from 2008 to 2014. Originality/value - Doubts about perfect competition in the liner market continued, but there were few empirical cases. This paper confirmed that the Korea liner market is a perfect competition market. This paper is the first to implement dynamics using ECM and recursive regression to demonstrate market power in the Korean liner market by dividing the shipping market into Deep Sea and Intra Asia separately. It is also the first to prove the most controversial problems in the current shipping industry numerically and academically.

Foreign Investors' Abnormal Trading Behavior in the Time of COVID-19

  • KHANTHAVIT, Anya
    • The Journal of Asian Finance, Economics and Business
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    • 제7권9호
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    • pp.63-74
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    • 2020
  • This study investigates the behavior of foreign investors in the Stock Exchange of Thailand (SET) in the time of coronavirus disease 2019 (COVID-19) as to whether trading is abnormal, what strategy is followed, whether herd behavior is present, and whether the actions destabilize the market. Foreign investors' trading behavior is measured by net buying volume divided by market capitalization, whereas the stock market behavior is measured by logged return on the SET index portfolio. The data are daily from Tuesday, August 28, 2018, to Monday, May 18, 2020. The study extends the conditional-regression model in an event-study framework and extracts the unobserved abnormal trading behavior using the Kalman filtering technique. It then applies vector autoregressions and impulse responses to test for the investors' chosen strategy, herd behavior, and market destabilization. The results show that foreign investors' abnormal trading volume is negative and significant. An analysis of the abnormal trading volume with stock returns reveals that foreign investors are not positive-feedback investors, but rather, they self-herd. Although foreign investors' abnormal trading does not destabilize the market, it induces stock-return volatility of a similar size to normal trade. The methodology is new; the findings are useful for researchers, local authorities, and investors.