• 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.

• Proceedings of the Safety Management and Science Conference
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• 2005.05a
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• pp.325-337
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• 2005

기존의 논문들은 단순히 기업가치(firm value)가 부채(debt)에 의한 요인들(determinants)에 의하여 좌우된다고 보았으며, 기업의 소유구조(managerial ownership)와 기업가치는 별개(exogenous)로 간주하여 왔다. 이 번 논문에서는 기업 가치를 좌우하는 요인들에 부채 이외에 기업의 소유구조를 내생변수(joint endogenous)로 추정하고, 통계방법으로는 수단변수를 사용하여 GMM(generalized method of moments)를 통하여 추정하기로 한다. 이 연구를 통해서는 부채와 기업 소유구조 사이에 밀접한 상호작용(interrelated)이 있음을 발견하였다. 부채와 기업의 소유구조를 내생화시킴으로써 이번 연구에서는 부채가 기업가치에 약한 부정적인(-) 영향을 주는 것으로 나타났으나, 기업의 소유구조는 기업 가치에 강한 긍정적 요인으로 작용하고 있음을 알 수 있었다. 이와 같이 부채와 기업가치의 약한 부정적인 관계에 대한 선행연구로는 Shea(1997)과 Hahn and Hausman(1999)이 있다. 또한, 기업가치는 시장점유율(market power)과 주가(treasury stock)와 양(+)의 관계에 있음을 알 수 있었다.

• Proceedings of the Safety Management and Science Conference
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• 2004.11a
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• pp.393-406
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• 2004

이 논문은 거시경제변수가 유럽, 호주, 한국의 주식시장 변동성에서 시간에 따른 변화(Time Variation)를 설명할 수 있는지에 관하여 조사하는데에 목적을 두고 있다. 그리고 이 논문은 미국에서 발표된 논문들의 결과와 달리 많은 경우에서 주식시장 변동성의 시간에 따른 변화가 과거의 화폐적 또는 실물적 거시경제 요소의 변화 가능성에서 통계적으로 유의하게 영향을 받는 지를 알 수 있었다. 따라서 자본 및 포트폴리오 배분에 대한 중요한 의미를 가지고 있다. 한국의 경우 경제회복에 따라 통화와 산업생산의 변동성 증가가 이뤄지면 주식시장의 성장에 중요한 역할을 할 수 있을 것이다. G7국가중에서 상대적으로 소규모국가인 이태리와 네덜란드에서도 위에서와 같은 결과들을 발견할 수 있었다. 한편 한국에서 특이한 점은 경제회복 이후에는 산업생산증가율의 증가가 통화량의 증가보다 더 주식시장에 중요한 영향을 줄 것 임을 알 수 있다.

• The Korean Journal of Financial Management
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• v.16 no.2
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• pp.157-178
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• 1999

본 연구는 B/M, E/P, C/P, S/P 등이 높은 주식(가치주)을 매입하는 전락, 즉 역행투자전략 또는 가치전략의 투자성과가 B/M, E/P, C/P, S/P 등이 낮은 주식(성장주)을 매입하는 전략, 즉 성장전략의 투자성과보다 높게 나타나는지를 확인하고 그 원인을 살펴보았다. 실증분석결과에 의하면 가치주에 투자하는 역행투자전략의 투자성과는 지속적으로 크게 나타나며, 통계적으로도 유의한 것으로 나타났다. 한편, 가치주의 위험도는 성장주에 비해 상대적으로 높게 나타나고 있으나, 그 위험차이에 의해 높은 수익률차이를 설명할 수 없는 것으로 보인다. 결론적으로 가치주를 매입하는 전략, 즉 역행투자전략에 의해서 높은 투자성과를 얻을 수 있으며, 이는 위험보다는 투자자들의 비합리적인 부분최적화 행동(suboptimal behavior)에 기인한 것으로 판단된다.

• Journal of Intelligence and Information Systems
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• v.3 no.2
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• pp.57-70
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• 1997

주식 시장을 예측하는 문제는 금융 분야에서 중요한 관심이 되어왔다. 주식 시세는 시장 환경의 변화에 따라 급격한 변화를 갖는다. 따라서 주식 투자로부터 이윤을 창출하기 위해서 주식을 사고 파는 시점을 결정하는 문제는 중요하다. 본 연구에서는 주시 매매 타이밍을 예측하기 위해서 캔들스틱 차트(Candlesticks chart)분석을 이용한 전문가 시스템(Expert System)으로서 '차트 해석기 (Chart Interpreter)'를 설계, 개발하였다. 주식 가격의 변동을 예고하는 패턴들을 정의하고 그 패턴들의 의미에 따라 매미결정을 첨가한 규칙을 생성하였다. 정의된 패턴들은 의미에 따라 크게 하락형, 상승형, 중립형, 추세지속형, 추세 전환형으로 분류된다. 정의된 패턴과 지식베이스의 유용성을 검증하기 위해서 수행된 1992년부터 1997년에 걸친 과거 한국 주식 시장 실거래 투자 데이터에 대한 실험결과는 평균 투자 성공률이 약 72%로서 주식시장에서 투자자들의 투자를 돕는데 우수한 지표로서 사용될 수 있음을 보였다. 또한, 개발된 지식베이스는 특정 연도나 특정 분야에 따라 예측력이 크게 변하지 않은 시간 독립적이고 분야 독립적인 특성을 가짐으로 분야나 시간에 구애받지 않고 사용할 수 있다는 장점을 갖는다.

• Journal of Distribution Science
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• v.20 no.2
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• pp.31-41
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• 2022

Purpose: Developing and nurturing supply chain dynamic capability is one of the leading solutions to create competitive advantages, maintain growth and sustainable development for businesses. The study was conducted to experimentally confirm the impact of supply chain dynamic capability on competitiveness and business efficiency for Vietnamese wood enterprises. Research design, data and methodology: The study surveyed 236 managers of Vietnamese wood manufacturing and distribution enterprises. The authors applied the structural equation modeling (SEM) to analyze the relationship between the dynamic capability of the supply chain and the competitiveness, business efficiency of enterprises to achieve those goals. Results: The results show that businesses owning supply chain dynamic capability will have better competitiveness and business efficiency. Especially, in the context of Vietnamese wood sector, the larger the scale of business, the more profound the impact of supply chain dynamic capability on competitiveness and business efficiency. Conclusions: Focusing on developing supply chain dynamics would be a promising solution to improve the competitiveness of Vietnam's wood enterprises in the global market.

• Asian Journal of Innovation and Policy
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• v.10 no.3
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• pp.330-354
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• 2021

To know the long-term growth patterns and determinants of successful startups, 15-year (2006-2020) panel data of 252 companies that had a growth rate of over 20% every year in the last three years were used. In the first analysis, statistics on the period required to designate a gazelle company or listed on the stock market were examined. In addition, five long-term growth patterns were presented. In the panel analysis, the R&D intensity, operating profit ratio, size, and age of the company were pointed out as determinants of growth. The operating profit margin and R&D intensity have a positive effect on growth. Gibrat's law was not supported, but an inverted U-shape was observed. Jovanovic's law was confirmed. Although many studies tend not to point to profitability as a determinant of long-term growth, this is an important long-term growth factor of a company. The operating profit ratio was used in this study.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.3
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• pp.1-10
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• 2022

This research proposes a novel trading method based on sample entropy for the FTSE China A50 Index. The approach is used to determine the points at which the index should be bought and sold for various holding durations. The findings are then compared to three other trading strategies: buying and holding the index for the entire time period, using the Relative Strength Index (RSI), and using the Moving Average Convergence Divergence (MACD) as buying/selling signaling tools. The unique entropy trading method, which used 90-day holding periods and was called StEn(90), produced the highest cumulative return: 25.66 percent. Regular buy and hold, RSI, and MACD were all outperformed by this strategy. In fact, when applied to the same time periods, RSI and MACD had negative returns for the FTSE China A50 Index. Regular purchase and hold yielded a 6% positive return, whereas RSI yielded a 28.56 percent negative return and MACD yielded a 33.33 percent negative return.

• The KIPS Transactions:PartB
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• v.10B no.3
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• pp.257-264
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• 2003

In the context of a dynamic trading environment, the ultimate goal of the financial forecasting system is to optimize a specific trading objective. This paper proposes a two-phase (extraction and filtering) stock trading system that aims at maximizing the rates of returns. Extraction of stocks is performed by searching specific time-series patterns described by a combination of values of technical indicators. In the filtering phase, several rules are applied to the extracted sets of stocks to select stocks to be actually traded. The filtering rules are automatically induced from past data. From a large database of daily stock prices, the values of technical indicators are calculated. They are used to make the extraction patterns, and the distributions of the discretization intervals of the values are calculated for both positive and negative data sets. We assumed that the values in the intervals of distinctive distribution may contribute to the prediction of future trend of stocks, so the rules for filtering stocks are automatically induced from the data in those intervals. We show the rates of returns when using our trading system outperform the market average. These results mean rule induction method using distributional differences is useful.

• Journal of the Korea Society of Computer and Information
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• v.15 no.1
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• pp.207-217
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• 2010

It is taken a violent fall of the international stocks market that was an American Subprime Mortgage Situation. The loss rate of individual investor judged than foreigner and institution by bigger thing. Therefore, further scientific and mechanical investment is needed at the stock investment using Internet HTS. This dissertation is stocks profit rate analysis which uses individual engine foreigner Knowledge Base HTS at the Bear Period the Bear Wave Period the Bull Period the Bull Wave Period. Knowledge Based e-friend HTS was Installed. HTS does composite stock exchange index in actuality stock trading and engine's fund earning rate, yield that is abroad comparative analysis using trend line that is HTS tool, MACD, Bollinger Bands, Stochastic slow's function. Usually, each subjects suppose that deal 5 stocks, and comparative study of the profit(loss)rate of the down to earth falling rate and rising rate, by comparing the earning rate of 5 Small capital stocks with 5 medium capital stocks and 5 Large capital stocks during the bear period, the bear wave period, the bull period, the bull wave period has meaning at the making research of the financial IT field.