• Journal of Korea Port Economic Association
• /
• v.27 no.1
• /
• pp.263-280
• /
• 2011

The global financial crisis, triggered by the subprime mortgage crisis in 2007, has put the world economy into the recession with financial market turmoil. I tested whether variables were cointegrated or whether there was an equilibrium relationship. Also, Generalized impulse-response function (GIRF) and accumulation impulse-response function (AIRF) may be used to understand and characterize the time series dynamics inherent in economical systems comprised of variables that may be highly interdependent. Moreover, the IRFs enables us to simulate the response in freight to a shock in the USD/JPY exchange rate, Dow Jones industrial average index, Dow Jones volatility, Chinese Import volatility. The result on the cointegration test show that the hypothesis of no cointergrating vector could be rejected at the 5 percent level. Also, the empirical analysis of cointegrating vector reveals that the increases of USD/JPY exchange rate have negative relations with freight. The result on the impulse-response analysis indicate that freight respond negatively to volatility, and then decay very quickly. Consequently, the results highlight the potential usefulness of the multivariate time series techniques accounting to behavior of Freight.

• The Korean Journal of Financial Studies
• /
• v.7 no.1
• /
• pp.49-69
• /
• 2001

본 연구에서는 IMF 구제금융도입과 관련된 일련의 사건들이 우리나라 금융기관 주가에 미친 영향을 분석하여 금융기관에 대한 시장전망의 추이를 알아보았다. IMF 구제금융도입은 궁극적으로 안정된 금융시스템을 추구한다는 (+)의 효과와 금융기관구조조정에 따른 규제와 이에 드는 비용으로 인한 (-)의 효과가 혼재되어 있다. IMF 구제금융도입과 이에 따른 제도정비에 금융기관 주가가 보인 반응을 살펴보기 위하여 IMF 긴급구제금융요청, 구제금융지원협상 타결, 금융개혁관련법안 국회통과, 외채협상타결, 기업구조조정 관련법안 국회통과 등 5개를 사건일1, 2, 3, 4, 5로 하여 사건연구방법에 의하여 분석하였는데 그 결과는 다음과 같다. 첫째, 사건일 1, 2, 3, 4에서는 누적평균초과수익률이 유의한 (-)의 반응을 보여 금융기관의 기업가치에 관한 부정적 반응이 나타났다. 그러나 사건일5(기업구조조정 관련법안 국회통과)를 계기로 누적평균초과수익률이 유의적이지는 않지만 (+)의 반응으로 반전되고 있어 금융기관에 대한 시장전망이 나아짐을 보여주었다. 둘째, 누적평균초과수익률이 일반은행과 다른 업종(증권, 종금, 보험)간에는 유의한 차이가 있었으나 다른 업종(증권, 종금, 보험)간에는 유의한 차이가 없었으며 금융기관의 누적초과수익률이 자기자본비율과 유의한 (+)의 선형관계로 나타나지 않아 IMF 충격으로 시장효율성이 저하된 것으로 나타났다. 그러나 이 또한 사건일5(기업구조조정 관련법안 국회통과)를 계기로 강력한 구조조정과정을 겪고 있는 종합금융회사를 제외하고는 누적초과수익률이 자기자본비율과 유의적이지는 않지만 (+)의 반응이 보여 시간이 경과함에 따라 IMF 충격으로 야기된 비효율적인 시장반응이 개선되고 있음이 밝혀졌다.

• Management & Information Systems Review
• /
• v.31 no.3
• /
• pp.307-321
• /
• 2012

This paper examines the spillover effect between Korea stock market and Chinese stock market according to increasing economic power of Chinese. Chinese stock market start the transaction one hour and half early than Korea stock market. Especially we focuses the response of Korea stock market after Chinese stock market starts. So we analyze the return an volatility of Korea stock market after 10:30. We employee daily and intraday stock return and volatility. The sample period ranges from January 2008 to April 2010 total 28 months. Our results show that the gap of open price between Korea and Chinese stock market affect the five minute return and volatility of Korea stock market but don't affect the ten minute return and volatility. Recently, this spillover effect has increased more and more. This shows the rapid increase of economic power of Chinese to affect the Korea capital market.

• Management & Information Systems Review
• /
• v.31 no.4
• /
• pp.287-307
• /
• 2012

We empirically examine the price discovery dynamics among the VKOSPI, the KOSPI200 spot, and the KOSPI200 futures markets. The analysis employs the vector-autoregression, Granger causality, impulse response function, and variance decomposition using both daily data from 2009. 04. 13 to 2011. 12. 30 and 1 minute data from the bull market, bear market, and the flat period. The main results are as follows; First, the lead lag relationships between KOSPI200 spot(futures) yield VKOSPI returns could not be found from the daily data analysis. But KOSPI200 spot(futures) have a predictive power for VKOSPI from 1 minute data. Especially KOSPI200 spot(futures) and VKOSPI show the bi-directional effects to each other during the return rising period Second, We chose the VAR(1) the model in daily data but adopt the VAR(3) model in the one minute data to determine the lead lag time. We know that there is predictability during the very short period Third, Spot returns and futures returns makes no difference in daily data results. According to the one minite data results, VKOSPI returns have a predictive power for KOSPI200 spot return, but have no predictive power for KOSPI200 futures return.