• 산업경영시스템학회지
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• 제20권41호
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• pp.79-86
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• 1997

This study is tested the information effects of convertible bond(CB). In orter to examine the abnormal stock returns of convertable day of CB, this study were selected 134 samples for the period from Jan.1988 to Dec.1994. There are some empirical studies which pesent evidents that CB are converted day of CB. The results of empirical study are summarized as follows. As in korea stock market, abnormal stock returns of CB have influenced on convertable day of CB. The day has some affirmative influences but it takes away stock price pressures, the amount of stock and dilution effects. As the results, related corporate stock price falled in preference to market abnormal returns.

• The Journal of Asian Finance, Economics and Business
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• 제8권5호
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• pp.777-784
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• 2021

This study explores the impact of COVID-19 pandemic and the lockdown policies that are used to tackle the pandemic on stock market returns in Indonesia. This study uses fixed-effects panel-data regression method to evaluate the impact of the growth in COVID-19 total confirmed cases and death as well as the lockdown policies on daily stock returns of 272 firms that are listed on the Indonesia Stock Exchange's main board and operate in the real sector from 2 March 2020 to 27 November 2020. The study confirms the significantly adverse impact of growth in the total of confirmed cases and death due to COVID-19 on Indonesia's daily stock returns. Moreover, the lockdown policies regardless how strict they are, have a positive and significant impact on the Indonesia's daily stock returns. This study further considers the different impact of COVID-19 pandemic on each of eight observed sectors; where the sector of property as well as trade, service and investment have a significantly negative performance; while the sector of basic industry, consumer goods and mining have a significantly better performance. This study suggests that COVID-19 pandemic and the lockdown policies have a mixed impact on the Indonesia's stock market returns.

• The Journal of Asian Finance, Economics and Business
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• 제6권2호
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• pp.257-267
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• 2019

The paper aims to test long-term and short-term causality from four exchange rates, the Korean won/$US, the Korean won/Euro, the Korean won/Japanese yen, and the Korean won/Chinese yuan, to the Korea Composite Stock Price Index in the presence of several macroeconomic variables using monthly data from January 1986 to June 2018. The results of Johansen cointegration tests show that there exists at least one cointegrating equation, which indicates that long-run causality from an exchange rate to the Korean stock market will exist. The results of vector error correction estimates show that: for long-term causality, the coefficient of the error correction term is significant with a negative sign, that is, long-term causality from exchange rates to the Korean stock market is observed. For short-term causality, the coefficient of the Japanese yen exchange rate is significant with a positive sign, that is, short-term causality from the Japanese yen exchange rate to the Korean stock market is observed. The coefficient of the financial crises i.e. 1997-1999 Asian financial crisis and 2007-2008 global financial crisis on the endogenous variables in the model and the Korean economy is significant. The result indicates that the financial crises have considerably affected the Korean economy, especially a negative effect on money supply.

• 산업경영시스템학회지
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• 제44권4호
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• pp.98-105
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• 2021

Using the frequency-based decomposition, I decompose the consumption growth to explain well-known patterns of stock returns in the Korean market. To be more specific, the consumption growth is decomposed by its half-life of shocks. The component over four years of half-life is called the business-cycle consumption component, and the components with half-lives under four years are short-run components. I compute the long-run and short-run components of stock excess returns as well and use component-by-component sensitivities to price stock portfolios. As a result, the business-cycle consumption risk with half-life of over four years is useful in explaining the cross-section of size-book-to-market portfolios and size-momentum portfolios in the Korean stock market. The short-run components have their own pricing abilities with mixed direction, so that the restricted one short-term factor model is rejected. The explanatory power with short- and long-run components is comparable to that of the Fama-French three-factor model. The components with one- to four-year half-lives are also helpful in explaining the returns. The results about the long-run components emphasize the importance of long-run component in consumption growth to explain the asset returns.

• 기술혁신연구
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• 제25권3호
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• pp.265-297
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• 2017

본 연구는 연구개발스톡과 6개의 지식스톡(특허의 질적 가치)이 기업의 시장가치에 미치는 영향을 포함하는 연구모형을 설정하여 기업의 시장가치와의 상관관계를 분석하였다. 구체적으로 토빈Q 모형을 사용하여 우리나라 402개 기업의 미국특허등록 108,851건(연도관측치 2,795건)의 특허를 분석하였다. Hall모형의 확장 모형 분석결과, 연구개발스톡/자산, 청구항스톡/특허스톡, 인용스톡/특허스톡 등이 기업의 시장가치에 긍정적인 영향을 미치는 것으로 나타났으며, 유의수준이 높진 않지만 피인용스톡/특허스톡, 발명자스톡/특허스톡 등도 기업의 시장가치에 긍정적인 영향을 미칠 수 있는 것으로 분석되었다. 이러한 결과에 따라 특허경영시대에 특허의 질적 수준 고도화와 특허의 가치 제고를 위한 정책 방안이 마련되어야 할 것으로 보인다.

• 한국정보시스템학회지:정보시스템연구
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• 제30권3호
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• pp.21-45
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• 2021

Purpose This paper analyzed the impacts of domestic stock market by a global pandemic such as COVID-19. We investigated how the overall pattern of the stock market changed due to the impact of the COVID-19 pandemic. In particular, we analyzed in depth the pattern of stock price, as well, tried to find what factors affect on stock market index(KOSPI) in the healthcare industry due to the COVID-19 pandemic. Design/methodology/approach We built a data warehouse from the databases in various industrial and economic fields to analyze the changes in the KOSPI due to COVID-19, particularly, the changes in the healthcare industry centered on bio-medicine. We collected daily stock price data of the KOSPI centered on the KOSPI-200 about two years before and one year after the outbreak of COVID-19. In addition, we also collected various news related to COVID-19 from the stock market by applying text mining techniques. We designed four experimental data sets to develop decision tree-based prediction models. Findings All prediction models from the four data sets showed the significant predictive power with explainable decision tree models. In addition, we derived significant 10 to 14 decision rules for each prediction model. The experimental results showed that the decision rules were enough to explain the domestic healthcare stock market patterns for before and after COVID-19.

• The Journal of Asian Finance, Economics and Business
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• 제2권3호
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• pp.17-22
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• 2015

This paper examines the effect of impulsiveness of euro on Indian stock market. In order to examine the problem, we select rupee-euro exchange rates and S&P CNX NIFTY and BSE30 SENSEX to represent stock price. We select euro as it considered as second most widely used currency at the international level after dollar. The data are collected a daily basis over a period of 3-Apr-2007 to 30-Mar-2012. The statistical and time series properties of each and every variable have examined using the conventional unit root such as ADF and PP test. Adopting a generalized autoregressive conditional heteroskedasticity (GARCH) and exponential GARCH (EGARCH) model, the study suggests a negative relationship between exchange rate and stock prices in India. Even though India is a major trade partner of European Union, the study couldn't find any significant statistical effect of fluctuations in Euro-rupee exchange rates on stock prices. The study also reveals that shocks to exchange rate have symmetric effect on stock prices and exchange rate fluctuations have permanent effects on stock price volatility in India.

• KDI Journal of Economic Policy
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• 제40권1호
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• pp.45-66
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• 2018

This paper measures the extent of comovements in stock returns between Korea and three major countries (China, Japan and the U.S.) using industry-level data for Korea from 2003 to 2016 in the spirit of the international capital asset pricing model. It also examines what drives the comovements between Korea and the three countries. We find that the comovements of Korean stock returns with those of the U.S. and Japan became smaller after the global financial crisis. In contrast, the comovement in stock returns between Korea and China became larger after the crisis. After an additional analysis, we conclude that trade linkage is the main driver of the comovements between Korea and the three countries.

• 지능정보연구
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• 제18권2호
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• pp.143-156
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• 2012

누구나 뉴스와 주가 사이에는 밀접한 관계를 있을 것이라 생각한다. 그래서 뉴스를 통해 투자기회를 찾고, 투자이익을 얻을 수 있을 것으로 기대한다. 그렇지만 너무나 많은 뉴스들이 실시간으로 생성 전파되며, 정작 어떤 뉴스가 중요한지, 뉴스가 주가에 미치는 영향은 얼마나 되는지를 알아내기는 쉽지 않다. 본 연구는 이러한 뉴스들을 수집 분석하여 주가와 어떠한 관련이 있는지 분석하였다. 뉴스는 그 속성상 특정한 양식을 갖지 않는 비정형 텍스트로 구성되어있다. 이러한 뉴스 컨텐츠를 분석하기 위해 오피니언 마이닝이라는 빅데이터 감성분석 기법을 적용하였고, 이를 통해 주가지수의 등락을 예측하는 지능형 투자의사결정 모형을 제시하였다. 그리고, 모형의 유효성을 검증하기 위하여 마이닝 결과와 주가지수 등락 간의 관계를 통계 분석하였다. 그 결과 뉴스 컨텐츠의 감성분석 결과값과 주가지수 등락과는 유의한 관계를 가지고 있었으며, 좀 더 세부적으로는 주식시장 개장 전 뉴스들과 주가지수의 등락과의 관계 또한 통계적으로 유의하여, 뉴스의 감성분석 결과를 이용해 주가지수의 변동성 예측이 가능할 것으로 판단되었다. 이렇게 도출된 투자의사결정 모형은 여러 유형의 뉴스 중에서 시황 전망 해외 뉴스가 주가지수 변동을 가장 잘 예측하는 것으로 나타났고 로지스틱 회귀분석결과 분류정확도는 주가하락 시 70.0%, 주가상승 시 78.8%이며 전체평균은 74.6%로 나타났다.

• 아태비즈니스연구
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• 제14권4호
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• pp.431-444
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• 2023

Purpose - This study applies the traditional Structure-Conduct-Performance (SCP) model from industrial organization theory to investigate the relationship between market structure and performance in China's banking industry. Design/methodology/approach - For analysis, financial data from the People's Bank of China's "China Financial Stability Report" and financial reports of 6 state-owned banks and 11 joint-stock banks for the period 2010 to 2021 were collected to create a balanced panel dataset. The study employs panel fixed-effects regression analysis to assess the impact of changes in market structure and ownership structure on performance variables including return on asset, profitability, costs, and non-performing loan ratios. Findings - Empirical findings highlight significant differences in the effects of market structure between state-owned and joint-stock banks. Notably, increased market competition positively correlates with higher profits for state-owned banks and with lower costs for joint-stock banks. Research implications or Originality - State-owned banks demonstrate larger scale and stability, yet they struggle to respond effectively to market shifts. Conversely, joint-stock banks face challenges in raising profitability against competitive pressures. Additionally, the study emphasizes the importance for Chinese banks to strengthen risk management due to the increase of non-performing loans with competition. The results provide insights into reform policies for Chinese banks regarding the involvement of private sector in the context of market liberalization process in China.