• Title/Summary/Keyword: Trading Strategy

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Development Strategy and Priority Analysis of Korean Fabric Mills in Indonesia Using SWOT/AHP Analysis Theory (SWOT/AHP분석을 통한 인도네시아 진출 한국 섬유원단업체의 발전전략과 우선순위분석)

  • Jo, Myoung Rae;Lee, Min Jung
    • The Journal of the Korea Contents Association
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    • v.19 no.11
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    • pp.288-296
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    • 2019
  • The Korean textile industry faces a crisis, and overseas expansion is increasing. Indonesia, the third trading partner in the Korean textile industry, is the fifth largest country in terms of Korea's direct investment. This study intends to suggest a development strategy for Korean fabric mills to advance into Indonesia. First, the SWOT representative factors of the fabric mills considering the circumstances of Indonesia were derived through literature research and expert meeting. In order to derive the priority among these, AHP analysis was performed to derive the final weight and priority of the SWOT factors. Through this, I would like to suggest a management strategy that can be helpful to companies that have already entered Indonesia and are planning to enter the country in the future.

A Study on Stock Market Cycle and Investment Strategies (주식시장국면 예측과 투자전략에 대한 연구)

  • Kyoung-Woo Sohn;Ji-Yeong Chung
    • Asia-Pacific Journal of Business
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    • v.13 no.4
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    • pp.45-59
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    • 2022
  • Purpose - This study investigates the performance of investment strategies incorporating estimated stock market cycle based on a lead-lag relationship between business cycle and stock market cycle, thereby deriving empirical implications on risk management. Design/methodology/approach - The data period ranges from June 1953 to September 2022 and de-trended short rate, term spread, credit spread, stock market volatility are considered as major input variables to estimate business cycle and stock market cycle by applying probit model. Based on the estimated stock market cycle, two types of strategies are constructed and their performance relative to the benchmark is empirically examined. Findings Two types of strategies based on stock market cycle are considered: The first strategy is to long(short) on stocks when stock market stage is expected to be an expansion(a recession), and the second one is to long on stocks(bonds) when expecting an expansion(a recession). The empirical results show that the strategies based on stock market cycle outperforms a simple buy and hold strategy in both in-sample and out-of-sample investigation. Also the out-of-sample evidence suggests that the second strategy which is in line with asset allocation is more profitable than the first one. Research implications or Originality The strategies considered in this study are based on the estimated stock market cycle which only depends on a few easily available financial variables, thereby making easier to establish such a strategy. It implies that investors enhance investment performance by constructing a relatively simple trading strategies if they set their position on stocks or choose which asset class to buy conditioning on stock market cycle.

A Study of the Efficiency of Futures Research Institutes of China

  • WU, Guo-Hua;YAO, Tian-Yin;ZHANG, Bao-Ping
    • The Journal of Asian Finance, Economics and Business
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    • v.7 no.12
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    • pp.555-564
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    • 2020
  • The purpose of this study is to analyze the efficiency of research institutes of futures companies, and to promote the development of futures market and real economy. This study employs DEA-solver software to conduct super-efficiency data envelopment analysis (SE-DEA), and also selects 40 representative futures research institutes in China as decision-making units (DMUs). For data of input and output indicators, we collect from the China Futures Association, Futures Daily, Hexun.com and Webstock.com respectively, and the time duration is the 103 trading days between from October 2019 to February 2020. Then the indicator for the strategy accuracy rate is calculated separately by analyzing the strategies published by each DMUs in public media. In conclusions, most institutes have excessive investment in human resources, and also have insufficient strategy accuracy rate and insufficient published research reports. The findings of this study suggest that Chinese futures companies need to improve the efficiency of research institutes, and better meet the demand of the financial market. In fact, the analysis of the efficiency of the futures company research institute has not been found in the literature worldwide, Application of DEA model in efficiency analysis of securities and futures research institutions and establishment of indicators are the innovations of this paper.

A Study on the Investment Strategy Using Neural Network Models in the Korean Stock Market (인공신경망 모델을 이용한 주식시장에서의 투자전략에 대한 연구)

  • 서영호;이정호
    • Journal of the Korean Operations Research and Management Science Society
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    • v.23 no.4
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    • pp.213-224
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    • 1998
  • Since the late 1980s, an Increasing number of neural network models have been studied in the areas of financial prediction and analysis. The purpose of this study is to Investigate the possibility of building a neural network model that is able to construct a profitable trading strategy in the Korean Stock Market. This study classifies stocks into the future market winners and losers from the publicly available accounting information and builds portfolios based on this information. The performances of the winner portfolios and the loser portfolios are compared with each other and against the market index. The empirical result of this research is consistent with the traditional fundamental analysis where it is claimed that the financial statements contain firm values that may not be fully reflected In stock prices without delay. Despite the supporting empirical evidence. It is somewhat Inconclusive as to whether or not the abnormal return in excess of market return is the result of the extra knowledge obtained in the neural network models derived from the historical accounting data. This research attempts to open another avenue using neural network models for searching for evidence against market efficiency where statistics and intuition have played a major role.

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A Study on the Strategy of Japan as an Advanced Country in International Grain Distribution Markets

  • Lee, Choon-Gyu;Jung, Myung-Hee;Kim, Jong-Jin
    • Journal of Distribution Science
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    • v.12 no.5
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    • pp.71-80
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    • 2014
  • Purpose - The object of this paper is to ascertain how Japan has become a powerful trader in the international grain market. A case in point is the world's third largest U.S. major grain trader, Gavilon, merged with general trading company Marubeni in 2012. What are Japan's strategies and their implications? Research design, data, and methodology - The study analyzed Japanese Ministry of Agriculture, Forestry, and Fisheries data, and data from daily and weekly papers. The paper employed various data and research methodologies. Results - The Lee Myeong-Bak government tried for three years to create a company similar to Cargill, but the project eventually failed. On the other hand, Japan has emerged as a leader in the international grain distribution market for the past 50 years, with the cooperation of government and private companies. Conclusion - The findings of this study show that Korea, China, India, and other countries' international major grain companies now compete to be powerful, major grain traders. South Korea could be the leader of the international grain market through the development of a more careful and long-term strategy.

Characteristics of the Trade between Korea and China and the Implications for the Korea-China FTA (한.중 무역구조의 특성을 고려한 FTA 체결시 정책적 함의)

  • Lee, Seo-Young;Ahn, Byung-Min
    • International Commerce and Information Review
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    • v.12 no.4
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    • pp.235-253
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    • 2010
  • The export is an important economic growth strategy in South Korea. South Korea is strongly dependant on external trades. Bilateral trade between China and South Korea has been grown rapidly in recent years. The China is now Korea's first-largest trading partner. Thus, the Korea-China Free Trade Agrement (FTA) in South Korea's trade operations is very important. A discussion of Korea-China bilateral FTA commenced in 2004 November. This paper is to recognize the phenomenon of major issued fields in the Korea-China FTA such as a manufacturing, agriculture, customs and seek a negotiation strategy that are summarized as follows. In terms of trade based on manufacturing, it is necessary to divide into a private, general reduction and priority reduction item to recognize whether it is complementary or competitive on the specific industry in the FTA negotiation by using an index regarding supplement and competition of these two countries. In particularly sensitive agricultural field, FTA should be progressed gradually after giving a certain period of time of grace period on the basis of various flexible tariff systems in order to minimize agriculture damage as a result of the rapid growth from import of Chinese agricultural goods.

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A Study a Secure Energy Trading Strategy based on a Blockchain (블록체인 기반 안전한 에너지 거래 전략 연구)

  • Kim, Hak Boo;Kim, Kijung;Bae, Kitae
    • Smart Media Journal
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    • v.9 no.3
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    • pp.18-24
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    • 2020
  • Existing energy was a system produced by a specific company and sold to consumers, but it is expected that in the near future, producers will become consumers and consumers will become producers. Recently, the emergence of cloud systems, 5G network construction, and energy reuse, including solar energy, are changing the shape of the energy market. In order to share energy, there are various agent systems, energy networks, and structures that form markets. In this study, we defined the above three and proposed a strategy using the Secure Energy Model (SEM) by applying a blockchain for a safe and fair energy market. The analytical results showed that the trust between the energy producers and consumers participating in the energy trade was formed.

The Impacts on SLOC Security to Korea's National Economy (해양교통로의 안전 확보가 국가경제 발전에 미치는 영향)

  • Lee, Choon-Kun
    • Strategy21
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    • s.30
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    • pp.31-62
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    • 2012
  • It is a commons sense that the Republic of Korea is a maritime state that depends its survival on International Trade and International Economy. Korea was a peninsula and do it can be both maritime and continental state by its choice. However, after the national division in 1945, South Korea had became a virtual island and pursue a maritime way for national development in the past 60 plus years. Now, South Korea is becoming a world's 12 th largest major trading and maritime state. South Korea has far more ships per capita than any other nations in the world and its economy is heavily depend upon the imports and exports with other nations in the world that pass through the oceans. Therefore, the Koreans regard the security of the sea lanes of communication as vital to the survival of the nation. The SLOC is the life line for Republic of Korea. Since the early 1990s, immediately after the Cold War was over, South Koreans began to recognize the importance of Sea Routes and thus began to build a navy that can handle with the new problems of the post Cold War era. However, the maritime security environments of the Republic of Korea today is shaky and dangerous. Almost every water near the Korean peninsula, some kind of international confrontations are going on. Territorial disputes on Dok do, Senkaku, Scarbrough, Shisha, Nansha and Eodo between and among Korea, Japan, China, Taiwan, Phillipines, Indonesia and Vietnam are the examples. In this essay, the author argues that the S. Korean efforts and capabilities to deal with these challenges are not enough and exhorts more efforts and more powerful navy for the Korean people.

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The Prediction and Trading Strategy for Intraday Stock Price Movements: A Deep Learning Approach (딥러닝을 이용한 Intraday 주가 예측 및 매매전략)

  • Hong, Yoonsik;Joo, Changhee
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2022.07a
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    • pp.7-10
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    • 2022
  • 본 연구는 국내 주식의 intraday 가격변화를 딥러닝 모형들로 예측하고 그 예측모형을 이용한 매매전략 딥러닝 모형을 제안한다. 주식의 intraday 가격변화에 따라서, 고빈도 매매, 주문집행문제 (order execution problem), 자동화 매매 등과 같은 intraday 주식 트레이딩의 수익률이 달라지기 때문에, 주식의 intraday 가격변화 예측은 주식 투자에 있어서 중요하다. 해외 시장에 대해서는 인공지능 등을 이용한 intraday 가격변화 예측 연구가 활발히 이루어졌지만, 국내의 경우 관련한 연구가 드물어 그 효용성이 명확히 드러나지 않았었다. 그에 따라서, KOSPI 50의 구성 종목에 대하여 정준의(canonical) 딥러닝 모형들을 적용하여 예측 성능을 비교한다. 또한, 그 예측모형들을 활용하여 간소화된 주문집행문제에서의 매매전략 딥러닝 모형을 제안한다. 그리고, 제안한 매매전략 딥러닝 모형을 KOSPI 50의 구성 종목에 대하여 실험하여, 제안한 방법론이 유효함을 밝힌다. 제시된 모형을 실제 주식 매매에 직접 적용하여 수익성을 개선을 기대할 수 있고, 사람이 직접 거래할지라도 효과적인 보조 지표가 될 수 있기에 본 논문은 실용적 의미를 지닌다.

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A Study on the Facilitation Strategies of e-Trade in the Korean SMEs (중소기업의 전자무역(e-Trade) 활성화 방안에 관한 연구)

  • Choi, Jang-Woo
    • International Commerce and Information Review
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    • v.5 no.1
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    • pp.63-83
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    • 2003
  • This paper's objective is to provide insights about the problems and expansion strategies of electronic trade. Korean small and medium-sized firms have adopted the Internet since the end of 1990s in order to reshape their competitiveness, and it is now being utilized as a major export marketing instrument to develop new customers, save export transaction costs ad facilitate new work processes. However, at present, the use of the internet in the field of trading is limited to the collection of market information, owing to legal, technical and institutional restraints between countries. In addition to that, because firms have the difficulties in making the trade contract through the e-trade system, the negative recognition on its' utility has been spreaded gradually between companies. This is one of the barriers to block the expansion of e-Trade between Korean firms. Therefore, this paper points out the problems of e-trade in the environmental, institutional and strategic view and provides many considerations for establishing the expansion strategy of e-trade by the Korean government and trade supporting institutions.

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