• Title/Summary/Keyword: Stock Management

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Development and Application of Risk Recovery Index using Machine Learning Algorithms (기계학습알고리즘을 이용한 위험회복지수의 개발과 활용)

  • Kim, Sun Woong
    • Journal of Information Technology Applications and Management
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    • v.23 no.4
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    • pp.25-39
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    • 2016
  • Asset prices decline sharply and stock markets collapse when financial crisis happens. Recently we have encountered more frequent financial crises than ever. 1998 currency crisis and 2008 global financial crisis triggered academic researches on early warning systems that aim to detect the symptom of financial crisis in advance. This study proposes a risk recovery index for detection of good opportunities from financial market instability. We use SVM classifier algorithms to separate recovery period from unstable financial market data. Input variables are KOSPI index and V-KOSPI200 index. Our SVM algorithms show highly accurate forecasting results on testing data as well as training data. Risk recovery index is derived from our SVM-trained outputs. We develop a trading system that utilizes the suggested risk recovery index. The trading result records very high profit, that is, its annual return runs to 121%.

Information, trading and stock returns: Lessons from dually-listed securities

  • Chan, K.C.;Fong Wai-Ming;Kho, Bong-Chan,;Stulz Rene M.
    • The Korean Journal of Financial Studies
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    • v.2 no.2
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    • pp.221-256
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    • 1995
  • This paper compares the intra-day patterns on the NYSE and AMEX of volatility, trading volume and bid-ask spreads for European and Japanese dually-listed stocks with American stocks of comparable average trading volume and volatility. It is shown that the intra-day patterns for these stocks are remarkably similar even though public information flows differ markedly across these stocks during the trading day. In the early morning, all stocks have higher volatility than later in the day, but this phenomenon is most pronounced for Japanese stocks and affects American stocks the least. We argue that these patterns are consistent with markets reacting to the overnight accumulation of public information but are inconsistent with the view that early morning volatility can be attributed to monopolistic specialist behavior.

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A Study on Dutch Disease: Effect of Financial Flow on Real Exchange Rate

  • Atama, Louis
    • Asia-Pacific Journal of Business
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    • v.7 no.2
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    • pp.21-37
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    • 2016
  • Using panel data for 29 developed countries, this paper studies the relationship between financial flow and trade markets on Dutch diseases for the period 2000-2010 and applying a fixed effects model. In particular, the study shows that an increase in inflows of foreign direct investment (FDI) leads to an appreciation of the real exchange rate. The result also suggests that an inflow of FDI accompanied by exports or government expenditure from tax revenue leads to real exchange rate appreciation. This paper also argued that stock market with FDI does not cause an appreciation of the real exchange rate.

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The Block-Based Storage Policy and Order Processing in Logistics Warehouse (물류창고에서 블록별 저장방식 및 주문 처리에 관한 연구)

  • 김명훈;김종화
    • Journal of the Korea Society of Computer and Information
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    • v.8 no.4
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    • pp.159-164
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    • 2003
  • Location of stock in a warehouse directly affects the total materials handling expense of all goods moving through the warehouse. The purpose of this paper is to develop a storage policy in order picking warehouse, the block-based storage policy to minimize the total order picking time. In block-based storage policy, the rack is divided into blocks and items are assigned to each block based on the turn-over rate of each item and the average distance between the blocks and the dock. To demonstrate the performance of the proposed policy, we compare with the existing method called class-based storage policy under various matching methods.

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A Study on the Improvement of the Aquaculture Evaluation Method by using AHP (AHP기법 적용을 통한 수산양식장 평가방식 개선에 관한 연구)

  • Seo, Jong-Seok;Seo, Wonchul;Ock, Young-Seok
    • Journal of Fisheries and Marine Sciences Education
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    • v.26 no.4
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    • pp.846-858
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    • 2014
  • The purpose of this study is to help domestic aquaculture farm by improved evaluation method. First, We analyzed evaluation method of domestic aquaculture certification, the greater retailer's supplier and global standard. Next, By using Analytic Hierarchy Process (AHP), We found priority and importance between criteria of SQF(Safety Quality Food) standard which is appled to alternative model for aquaculture evaluation. As a result is presented as follows: regarding pairwise comparison between System Element module and Good Aquaculture Practice(GAP) module, GAP is recognized to be more important than System Element. The highest priority criteria is presented 'Purchase and Use of Medications, Aquaculture Feeds and Aquaculture Chemicals.' Next, 'Management commitment', 'Attaining Food Safety', 'Location and Layout of Structures and Vessels', 'Stock Identification and Traceability are recognized high position. This study has major implications for research into development of evaluation method.

Correlation among Measures of Technological Knowledge

  • Park, Yong-Tae;Park, Gwang-Man;Kim, Moon-Soo
    • Journal of Technology Innovation
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    • v.9 no.2
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    • pp.17-33
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    • 2001
  • In the knowledge-based economy, technological knowledge (TK) is reckoned key subject of knowledge management. Despite growing recognition, it has long been considered an intractable task to develop precise measures of TK and, as a remedy, a number of R&D-related proxy indicators have been employed. Although voluminous previous research has examined the structure and process of technological innovation by using proxy indicators, the inquiry into the relationship among respective indicators has remained unexplored. In this research, we take three most frequent proxy indicators of TK, R&D human resources, R&D stock, and patents, and investigate the correlation among respective measures. In addition, the dynamic pattern of time lag between technological input and output is also analyzed.

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Tertiary Treatment of Municipal Wastewater and Bypassed Rainfall Treatment using by BAF (BAF를 이용한 하수의 3차 처리 및 by-pass된 우수의 처리)

  • Lee, Kwang Je;Park, Jae-Hong
    • Journal of Korean Society on Water Environment
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    • v.21 no.4
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    • pp.327-331
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    • 2005
  • The study was conducted with two laboratory biological aerated filter (BAF) reactors: denitrification filter (DF) and nitrification BAF. The influent flow (Q) was fixed to 48 L/d and total empty bed contact time (EBCT) was 1 hr. The flow direction was upflow with NRCY of 1 to 2Q. The secondary effluent was fed to the reactors and the influent concentrations were adjusted with some stock solutions to simulate by-pass concentration during rainfall. The study results indicate that COD and SS removal efficiencies were excellent and not influenced by temperature. Nitrification efficiency was over 90% at the influent loading less than $1.12kg/media\;m^3/d$, but the efficiencies were decreased in low temperature. TN removal efficiencies were 10% to 60%.

Abundance Estimation of the Chesapeake Bay Blue Crab, Callinectes sapidus

  • ZHANG Chang Ik;AULT Jerald S.
    • Korean Journal of Fisheries and Aquatic Sciences
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    • v.28 no.6
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    • pp.708-719
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    • 1995
  • This study is to estimate abundance of the Chesapeake Bay blue crab stock. Using 823 dredge tows which were conducted during the 1991 winter survey, blue crab abundance was estimated on the basis of newly developed methods which account for unequal dredge tow distances, size- and sex-specific heterogeneous overwintering spatial distributions, wintertime exploitation, the time period of quasi-hibernation, and dredge capture efficiency. The estimate of total abundance before correction by gear efficiency was 131.8 million crabs $(95\%\;C.I.\;=\;118.2\;million\;crabs\;to\;145.4\;million\;crabs),$ Dredge capture efficiency was estimated to be 0.474. Thus, the estimate of total abundance was calculated as 278.1 million crabs after correction by the efficiency factor.

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Do Analyst Practices and Broker Resources Affect Target Price Accuracy? An Empirical Study on Sell Side Research in an Emerging Market

  • Sayed, Samie Ahmed
    • The Journal of Asian Finance, Economics and Business
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    • v.1 no.3
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    • pp.29-36
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    • 2014
  • This paper attempts to measure the impact of non-financial factors including analyst practices and broker resources on performance of sell side research. Results reveal that these non-financial factors have a measurable impact on performance of target price forecasts. Number of pages written by an analyst (surrogate for analyst practice) is significantly and directly linked with target price accuracy indicating a more elaborate analyst produces better target price forecasts. Analyst compensation (surrogate for broker resource) is significantly and inversely linked with target price accuracy. Out performance by analysts working with lower paying firms is possibly associated with motivation to migrate to higher paying broking firms. The study finds that employing more number of analysts per research report has no significant impact on target price accuracy -negative coefficient indicates that team work may not result in better target price forecasts. Though insignificant, long term forecast horizon negatively affects target price accuracy while stock volatility improves target price accuracy.

The Technology Licensing Office as Factor of Success for Spin-off: Case Study of a Research Lab Startup of Korea

  • Ham, Hyeong-Uk;Ko, Chang-Ryong
    • Asian Journal of Innovation and Policy
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    • v.5 no.2
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    • pp.129-145
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    • 2016
  • This is a case study to analyze the role of technology licensing or transfer office (TLO) as factors of success for the spin-off from government research lab. The case company is a research lab startup, which is a joint venture through technology investment by a government research lab or university in the designated R&D parks and cash investment by the partner company. The case company listed on the stock market in 2015 reaching a market capitalization of US$ 1.2 billion. We confirm the success factors of startups pointed out in many studies: original technology, good understanding of core technology and production technology, technological competitiveness in the market. However, there is an important factor not well discussed in the previous studies, the role of TLO. TLO guided the company ownership, management, technology, and solved problems that pause business itself. The case became the sample of research lab startup and technology investment in Korea.