• Title, Summary, Keyword: Investment strategy

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A Study on the Strategy for Optimizing Investment Portfolios (최적 투자 포트폴리오 구성전략에 관한 연구)

  • Gu, Seung-Hwan;Jang, Seong-Yong
    • IE interfaces
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    • v.23 no.4
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    • pp.300-310
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    • 2010
  • This paper is about an optimal investment portfolio strategy. Financial data of stocks, bonds, and savings from January 2. 2001 through October 30. 2009 were utilized in order to suggest the optimal portfolio strategies. Fundamental analysis and technical analysis were used in stocks-related strategy, whereas passive investment strategy and active investment strategy were used in bond-related strategy. The score is assigned to each stock index according to the suggested strategies and set trading rules are based on the scores. The simulation has been executed about each 29,400-portfolios and we figured out with the simulation result that 26.75% of 7,864 portfolios are more profitable than average stock market profit (22.6%, Annualized). The outcome of this research is summarized in two parts. First, it's the rebalancing strategy of portfolio. The result shows that value-oriented investment(long-term investment) strategy yields much higher than short-term investment strategies of stocks or active investment of bonds. Second, it's about the rebalancing cycle forming the portfolios. The result shows that the rate of return for the portfolio is the best when rebalancing cycle is 12 or 18 months.

An Empirical Study on the Moderating Effect of Competitive Strategy on the Relationship between Information Technology Investment and Information Technology Effectiveness (정보기술투자와 정보기술 효과성 간의 관련성에 대한 경쟁전략의 조절효과)

  • Chung Hyun-Sik;Roh Jung-Gu
    • Management & Information Systems Review
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    • v.17
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    • pp.381-399
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    • 2005
  • During the past decade a great deal of attention has focused on the impact of IT investment. However, many related studies have frequently generated controversial or inconsistent results. These results imply that the relationship between IT investment and performance is complex and multifaceted. And empirical studies with new analytical techniques are badly needed to examine the way IT investment interacts with various organizational and environmental elements to influence corporate performance. Accordingly a study of IT investment needs to make a contingency approach to determining the level of IT investment based on the competitive strategy in a macro perspective. The basic purpose of this research is to analyse the relationship between IT investment and IT effectiveness and to identify the moderating effect of competitive strategy in the relationship. The results showed that there is no relationship between IT investment and IT effectiveness, and the competitive strategy can be considered as a significant moderating variable between IT investment and IT effectiveness.

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The Effect of Firm's Strategy in Investment Decision (기업의 조세전략이 투자의사결정에 미치는 영향)

  • Choi, Kyong-Soo;Choi, Jeongmi
    • Journal of Digital Convergence
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    • v.12 no.3
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    • pp.177-187
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    • 2014
  • We investigate the association between tax strategy and investment efficiency focusing on manager's investment decision. Specifically, we examine the effect of manager's tax avoidance on the firm's investment level. The result show that as the degree of tax avoidance becomes higher firm's over investment increases. This result implies that the available resources generated from firm's tax avoidance induces over investment. Prior researches have been interested in the effects of firm's tax strategy on firm value. However, there is little literatures regarding the effects of firm's tax strategy on management's real investment decisions which provides the important implications about the mechanisms between tax strategy and firm value. In this respect, our research provides a meaningful results which demonstrates the effects of firm's tax strategy on manager's real investment decisions. This will provide useful implications for the investors and government regarding manager's tax avoidance behavior.

A Simulation Study of the Investment Strategy in Stocks on Fundamental Analysis (기본적 분석방법을 통한 주식 투자 전략에 관한 시뮬레이션 연구)

  • Gu, Seung-Hwan;Jang, Seong-Yong
    • Korean Management Science Review
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    • v.29 no.2
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    • pp.53-64
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    • 2012
  • This paper is about the investment strategy in stocks on Fundamental analysis. Financial data of stocks from January 2. 2001 through October 30. 2009 were utilized in order to suggest the investment strategies. Fundamental analysis was used in stocks-related strategy. The portfolios are composed of 3 criteria such as the buying criteria score, exchange cycle and selling conditions. The buying criteria score is determined assigned to each stock index according to the satisfaction condition of 15 parameters selected considering the grue's criteria. The stock buying alternatives has two options with buying stocks over 13 points and over 14 points of buying criteria score. The seven exchange cycles and three selling methods are considered. So total number of portfolios is 42($2{\times}7{\times}3=42$). The simulation has been executed about each 42 portfolios and we figured out with the simulation result that 83.33% of 35 portfolios are more profitable than average stock market profit(203.43%). The outcome of this research is summarized in two parts. First, it's the exchange strategy of portfolio. The result shows that value-oriented investment (long-term investment) strategy yields much higher than short-term investment strategies of stocks. Second, it's about the exchange cycle forming the portfolios. The result shows that the rate of return for the portfolio is the best when exchange cycle is 18 months.

An Analysis on Combination Effect of Value Investment Strategy and Moving Average Method (가치투자전략과 이동평균법의 결합효과)

  • Chang, Kyung-Chun;Kim, Yeon-Gueon;Kim, Hyun-Seok
    • Management & Information Systems Review
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    • v.27
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    • pp.53-69
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    • 2008
  • In this paper we analyse performance of value strategy and moving average method among the non-financial listed companies whose fiscal year ends at December in the Korean Stock Exchange between 1996 and 2005. And we analyse combination investment performance of value investment and moving average method. After the analysis objective enterprises divide with the value stock and the growth stock, in accordance with moving average method we divide ascending stock and descending stock. And we compose 6 portfolios with combination of value stock, growth stock, ascending stock and descending stock. Using the difference of investment performance of these portfolios, when fundamental analysis and technical analysis method all considering we measure investment performance. The major findings of this research are as follows: First, the value strategy of buying value stocks and selling growth stocks were effective in the long-term investment. Second, using the moving average method, technical analysis were effective in the case of the short-term investment. Third, the portfolios combined fundamental analysis and technical analysis were more effective than investment performance of technical analysis.

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The Effect of Fit between IT Strategy and IT Investment on the IT Performance (정보기술전략과 투자방향의 일치가 정보기술성과에 미치는 영향)

  • Kang Tea-Gyung
    • Management & Information Systems Review
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    • v.13
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    • pp.27-47
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    • 2003
  • The strategic usages of IT(Information Technology) can convey important competitive advantages with an operational productivity. For this reason, many firms have heavily invested in IT and computing power. However, many companies were getting expected results by IT investment, but some companies had to be satisfied with a poor results. The question of whether or not benefit lead to expected performance is not easy to answer. The purpose of this study was to investigate the relationship among IT strategy, IT investment, and IT performance to resolve this problem. The 147 questionnaire responses completed by IS managers in manufacturing sector was conducted for a test of research hypothesis. ANOVA was used to investigate the relationship among three constructs and six factors. An operational performince of fitted group between IT strategy and IT investment was higher than not fitted group(H1). And also an competitive performance of fitted group between IT strategy and IT investment was higher than not fitted group(H2). The study shows a positive relationship between IT strategic orientation, IT investment direction, and performance of IT. The research results provide empirical evidence that supports the research hypothesis that closer fit between IT strategies and IT investment directions does lead to increase operational and competitive performance of IT.

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Sector Investment Strategy with the Black-Litterman Model (블랙리터만 모형을 이용한 섹터지수 투자 전략)

  • Song, Jung-Min;Lee, Young-Ho;Park, Gi-Gyoung
    • Korean Management Science Review
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    • v.29 no.1
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    • pp.57-71
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    • 2012
  • In this paper, we deal with a sector investment strategy by implementing the black-litterman model that incorporates expert evaluation and sector rotation momentum. Expert evaluation analyzes the relative performance of the industry sector compared with the market, while sector rotation momentum reflects the price impact of significant sector anomaly. In addition, we consider the portfolio impact of sector cardinality and weight constraints within the context of mean-variance portfolio optimization. Finally, we demonstrate the empirical viability of the proposed sector investment strategy with KOSPI 200 data.

A study on asset management investment strategy model by trade probability control on futures market (선물시장에서 거래확률 조정을 통한 자산운용 투자전략 모델에 관한 연구)

  • Lee, Suk-Jun;Kim, Ji-Hyun;Jeong, Suk-Jae
    • Management & Information Systems Review
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    • v.31 no.3
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    • pp.21-46
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    • 2012
  • This paper attempts to offer an effective strategy of hedge fund based on trade probability control in the futures market. By using various technical indicators, we create an association rule and transforms it into a trading rule to be used as an investment strategy. Association rules are made by the combination of various technical indicators and the range of individual indicator value. Adjustments of trade probabilities are performed by depending on the rule combinations and it can be utilized to establish an effective investment strategy onto the risk management. In order to demonstrate the superiority of the investment strategy proposed, we analyzed a profitability using the futures index based on KOSPI200. Experiments results show that our proposed strategy could effectively manage and response the dynamics investment risks.

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The Development Progress of Korean Aviation Industry and its Investment Strategy Based on the Evidence and the 4th Industrial Revolution

  • Kim, Jongbum
    • International Journal of Aerospace System Engineering
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    • v.5 no.2
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    • pp.1-7
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    • 2018
  • This study examines the history of Korean aviation industry and presents the investment strategy based on the evidence and the 4th industrial revolution. Looking at the evolution of the Korean aviation industry and its technological development will be a great help to support industrial and technological innovation in the future. The modern aviation industry is divided into stages of development, focusing on maintenance of equipment introduced in advanced countries, localization through license assembly, production of products based on technology, and international joint development. The development of aeronautics technology has been progressing towards a general improvement of economic efficiency, aircraft safety efficiency through environmental-friendliness, unmanned operation, and downsizing. The Korea Aerospace Research Institute has secured key technologies through development of several aircrafts such as Experimental Aircraft Kachi, EXPO Unmanned Airship, Twin-engine Composite Aircraft, Canard Aircraft, Multi-Purpose Stratosphere unmanned-airship, Medium Aerostats, Smart UAV, Surion, EAV-2H, KC-100, and OPV. The development strategy is discussed at the level of the evidence-based investment strategy that is currently being discussed, and so the investment priorities in aircraft is high. Current drone usage and development direction are not only producing parts using 3D printer, but also autonomous flight, communication (IoT, 5G), information processing (big data, machine learning). Therefore, the aviation industry is expected to lead the fourth industrial revolution.

Using cluster analysis and genetic algorithm to develop portfolio investment strategy based on investor information (군집분석과 유전자 알고리즘을 활용한 투자자 거래정보 기반 포트폴리오 투자전략)

  • Cheong, Donghyun;Oh, Kyong Joo
    • Journal of the Korean Data and Information Science Society
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    • v.25 no.1
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    • pp.107-117
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    • 2014
  • The main purpose of this study is to propose a portfolio investment strategy based on investor types information. For improvement of investment performance, artificial intelligence techniques are used to construct a portfolio. Among many artificial intelligence techniques, cluster analysis is applied to select securities and genetic algorithm is applied to assign the respective weight within the portfolio. Empirical experiments in the Korean stock market show that proposed portfolio investment strategy is practicable and superior strategy. This result implies that analysis of investor's trading behavior may assist investors to make an investment decision and to get superior performance.