• Information Systems Review
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• v.13 no.1
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• pp.1-11
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• 2011

This study empirically investigated the effect of firm-level data quality on economic performance in the Korean financial industry during 2008~2009. The data quality was measured by data quality management process index and data quality criteria by Korea Database Agency, and financial firm performance data was acquired from Financial Statistics Information System of the Financial Supervisory Service. The result showed that the data quality has statistically significant impacts on financial firm performance such as sales, operating profit, and value added. If the data quality management process index increases by one, the value added can increase by 2.3 percent. Moreover, the data quality criteria increase by one, the value added can increase by 72.6 percent.

• KDI Journal of Economic Policy
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• v.33 no.4
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• pp.27-48
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• 2011

This paper investigates the extent of global and regional integration in East Asia using stock price index as a measure of economic performance. We employ a structural VAR model to separate the underlying shocks into "global", "regional" and "country-specific" shocks. The estimation results show that country-specific shocks still play a dominant role in East Asia although their role appears to have declined over time, especially after the 1997 financial crisis. Global and regional shocks are responsible for small but increasing shares of stock price fluctuations in all countries. The results indicate that the stock markets in East Asia remain dissimilar and are subject to asymmetric shocks in comparison to European countries.

• The Journal of the Korea Contents Association
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• v.9 no.12
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• pp.279-290
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• 2009

This study aims at analyzing the structure of the regional industries in Daejeon, including Choongchung area and the measurement of Regional Innovation Ability Index. The study also investigates the environment of the regional innovation activities in terms of Regional Location Quotient Index. The study mainly focuses on the estimation of four types of innovation ability indexes, i.e., human resource, knowledge creation, knowledge transfer and application, and innovation supporting finance output market. The findings indicate that Daejeon showed the highest index 2.977, and Seoul recorded 2.650 as the second rank. The indexes of Choongnam and Choongbuk were 2.034 and 2.082, respectively, which reached to 76%~78% of that of Seoul. The indexes of the other cities accounted for only 50%~60% of that of Deajeon city. This study concludes that there is a regional difference particularly in the knowledge creation area.

• The Korean Journal of Financial Studies
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• v.8 no.1
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• pp.55-76
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• 2002

본 연구는 KOSPI 200 선물시장의 거래자료를 이용하여 시장의 미시구조에 의한 하루중 수익률, 변동성 및 거래량 형태를 검토하였다. 본 연구의 주요 결과는 다음과 같다. 첫째, 지수선물시장의 하루중 변동성과 거래량 형태는 일말효과보다 일초효과가 크게 나타나는 조잡한 W자형 형태이다. 이러한 형태는 Brock-Kleidon(1992)의 시장폐장이론에 의해 설명되지만, 동시호가제 등 국내시장의 운영제도에 의해서도 영향을 받고 있음을 보여준다. 둘째, 현물시장의 폐장시간대의 변동성 감소는 한 금융시장의 폐장에서 다른 관련 금융시장의 가격변동성 하락을 예측한 King-Wadhwani(1990)의 이론적 연구결과와 일치한다. 셋째, 수익률의 하루중 형태는 요일에 따라 상이하며 매우 노이즈한 행태를 보여주었다. 그리고 수익률의 요일효과 분석에서 일주일 중 가장 낮은 수익률이 화요일에 발생하는 화요일 효과를 발견하였다. 월요일 효과도 발견되었지만, 그 크기면에서 화요일 효과가 지배적이었다.

• 월간 기계설비
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• s.66
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• pp.61-68
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• 1996

병자년 새해에서는 연면적 5천$m^2$ 이상인 다중이용시설의 감리는 감리전문회사가 맡게 되고 건축허가시 건축위원회의 심의를 반드시 받아야 하는 등 건축물 감리가 강화되며, 부부합산 금융소득이 4천만원을 초과하는 경우 종합과세 대상이 된다. 또 도심지 혼잡지역을 통과하는 1~2인승 차량에 혼잡통행료를 물릴수 있다. 5월부터는 주가지수 선물시장이 개설되는 등 정치$\cdot$경제$\cdot$사회 각 분야에 걸쳐 제도적, 법률적으로 많은 변화가 있게 된다. 세제, 금융, 노동, 주택, 교통, 기업환경 등 각 분야에 걸쳐 새해부터 달라지는 내용들을 알아보기로 한다.

• Proceedings of the Korean Statistical Society Conference
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• 2001.11a
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• pp.199-204
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• 2001

1997년 IMF 경제위기 이후 우리나라의 금융산업은 급격한 변화를 겪고 있다. 지난 4년간 은행들을 비롯한 금융기관들이 대형화를 통한 경쟁력 강화를 위해 합병이 실시되었다. 은행합병의 궁극적인 목적은 합병에 의해 규모를 대형화하고 업무범위를 다양화하여 수익규모를 증대시키고 수익원을 다원화하는 한편, 경영자원의 투입과 활용을 효율화하고 시장지배력을 확충하여 경영성과를 제고함으로써 기업가치를 증진시키는데 있다고 할 수 있다. 본 연구에서는 1997년 이후에 본격적으로 이루어진 합병은행들을 대상으로 맘퀴스트 ${\ulcorner}$Malmquist${\lrcorner}$ 총요소생산성(Total Factor Productivity) 지수를 사용하여 그 성과를 측정해 보았다.

• Journal of Navigation and Port Research
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• v.42 no.6
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• pp.546-554
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• 2018

The Bulk market, unlike the line market, is characterized by stiff competition where certain ship or freight owners have no influence on freight rates. However, freights are subject to macroeconomic variables and economic external shock which should be considered in determining management or chartering decisions. According to the results analyzed by use of ARIMA Inventiom model, the impact of the financial crisis was found to have a very strong bearing on the BDI index. First, according to the results of the VEC model, the libor rate affects the BDI index negatively (-) while exchange rate affects the BDI index by positively (+). Secondly, according to the results of the VEC model's J ohanson test, the order ship volume affects the BDI index by negatively (-) while China's economic growth rate affects the BDI index by positively (+). This shows that the shipping company has moved away from the simple carrier and responded appropriately to changes in macroeconomic variables (economic fluctuations, interest rates and exchange rates). It is believed that the shipping companies should be more aggressive in its "trading" management strategy in order to prevent any unfortunate situation such as the Hanjin Shipping incident.

• Journal of Service Research and Studies
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• v.6 no.3
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• pp.41-54
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• 2016

We examine the information transmission between the business survey index(BSI) based on the returns data offered by Federation of Korean Industries and KOSPI Index based on the returns data offered by Korea Bank. The data includes monthly return data from January 1998 to September 2015. The results of the analysis are as follows. Firstly, results of Granger Causality test suggests the existence of mutual causality KOSPI Index precede and have explanatory power BSI. Secondly, the results of impulse response function suggest that BSI Index show immediate response to KOSPI Index and are influenced by till time 4 From time 2 the impact gradually disappears. Also KOSPI Index show immediate response to BSI and are influenced by till time 4 From time 2 the impact gradually disappears. Lastly, the variance decomposition analysis showed a high influence of the KOSPI Index on the BSI and significant influence of the BSI on the KOSPI Index. This implies that returns on the KOSPI Index have a significant influence over returns on the BSI. The study is a further extension of existing studies on information transmission mechanism between the BSI and KOSPI. Finally, our results can be used as a guide by the Korea Bank and Republic of Korea and as well as Federation of Korean Industries.

• Venture DIGEST
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• no.1 s.126
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• pp.54-55
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• 2009

요즘 연일 중계무역에 대한 문의를 받는다. 최근 화두인 미국 발 금융위기와 함께 내수경기가 악화되어 해외 거래를 중계해서 수익을 창출해 보려고 하는 것이다. 이런 요구에 발맞춰 이번 호에서는 중계무역의 구조와 절차 상의 주의점들을 살펴보자.

• Journal of the Korea Society of Computer and Information
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• v.29 no.7
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• pp.73-80
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• 2024

In this paper, we proposes a method to improve the accuracy of predicting the Korea Composite Stock Price Index (KOSPI) by combining topic modeling and Long Short-Term Memory (LSTM) neural networks. In this paper, we use the Latent Dirichlet Allocation (LDA) technique to extract ten major topics related to interest rate increases and decreases from financial news data. The extracted topics, along with historical KOSPI index data, are input into an LSTM model to predict the KOSPI index. The proposed model has the characteristic of predicting the KOSPI index by combining the time series prediction method by inputting the historical KOSPI index into the LSTM model and the topic modeling method by inputting news data. To verify the performance of the proposed model, this paper designs four models (LSTM_K model, LSTM_KNS model, LDA_K model, LDA_KNS model) based on the types of input data for the LSTM and presents the predictive performance of each model. The comparison of prediction performance results shows that the LSTM model (LDA_K model), which uses financial news topic data and historical KOSPI index data as inputs, recorded the lowest RMSE (Root Mean Square Error), demonstrating the best predictive performance.