• 한국콘텐츠학회논문지
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• 제12권11호
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• pp.338-357
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• 2012

본 연구의 주제는 국내 금융기관들의 신용부도스왑(CDS) 스프레드의 재무적 결정요인에 대한 분석이다. 대부분의 기존 유사주제관련 연구논문들의 대상 (표본)기업들은 선진자본시장에 소속되어 있었으나, 본 연구의 특성으로서, 현재까지는 신흥자본시장에 소속되어 있는 국내 금융업종 소속기업들에 대한 동 스프레드에 관한 연구라는 점에도 의의가 있다. 연구 방법론과 관련하여, 본문 중 분석된 다중회귀분석과 주요인분석방법 외에도, 강건성 제고를 고려한 단계별회귀분석을 이용한 최종'선정'모형이 추가적으로 검정되었으며, 표본기업들은 국제적으로 거래가 되는 국내 금융기관들(은행, 금융지주회사 포함)이다. 예를 들어, KB국민은행, 하나은행, 기업은행, 우리은행, 그리고 신한금융지주 등이다. 동 연구결과, 여러 재무관련 주요 설명변수들 중, 종합적으로 '이자율기간구조'에 대한 대용변수(즉, 5년만기 국고채와 3년만기 국고채간의 스프레드)와 베타와 동 기간구조 간의 '교호효과변수', 즉, 2가지의 설명변수들이 동 신용부도스왑 스프레드 결정에 대한 통계상의 일관적 중요성을 나타냄이 발견되었다. 본 연구결의 추가적인 기대효과로서는, 국내 투자자(기관투자가 포함)들에게는 상대적으로 생소하지만, 국제자본시장에서는 현재까지 활발히 개발, 매매되는 장외파생금융상품에 대한 이해를 제고할 수 있다는 점이라고 판단된다. 추가적으로, 동 상품의 결정요인에 대한 심층 분석을 통하여, 다국간 자유무역협정(FTA) 체결 등을 통하여 향후 국내외에 신규 진출할 것으로 예상되는 해당 금융기관들이, 신용부도스왑에 대한 자신들의 위험수준을 효율적으로 사전분석할 수 있는 효과도 기대된다.

• 유통과학연구
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• 제17권10호
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• pp.41-48
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• 2019

Purpose - This study investigates whether financial analysts consider the intangible investment implicit in selling, general, and administrative (SG&A) expenditures to forecast firms' future earnings. Research design, data, and methodology - Using 52,609 U.S. firm-year observations spanning 1984-2016, this study examines the association between the Intangible investment implicit in SG&A expenditures and properties of analysts' earnings forecasts. To estimate the Intangible investment of SG&A, I decompose SG&A excluding R&D and advertising expenditures into maintenance and investment components following Enache and Srivastava (2017). Results - The main results show that analysts' earnings forecast errors and dispersion in analysts' forecasts increase with the intangible investment derived from SG&A because the investment component of SG&A affects future earnings and the uncertainty of those earnings. However, these results are weakened in the wholesale and retail industries where firms have a higher level of investment component of SG&A. I attribute the weaker results to low R&D expenditures in those industries. Conclusion - This study indicates that financial analysts incorporate the intangible investment of SG&A into their earnings forecasts differently across firms and industries. Furthermore, this study supports the argument for the separate reporting of the investment nature of SG&A from other operating expenses such as maintenance nature of SG&A.

• Management Science and Financial Engineering
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• 제14권2호
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• pp.105-118
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• 2008

There are many debates on the topic of the relationship between oil prices and economic growth. Through the repeated processes of conformations and contractions on the subject, two main issues are developed; one is how to define and drive oil shocks from oil prices, and the other is how to specify an econometric model to reflect the asymmetric relations between oil prices and output growth. The study, thus, introduces the unobserved component model to pick up the oil shocks and a first-order Markov switching model to reflect the asymmetric features. We finally employ unique oil shock variables from the stochastic trend components of oil prices and adapt four lags of the mean growth Markov Switching model. The results indicate that oil shocks exert more impact to recessionary state than expansionary state and the supply-side oil shocks are more persistent and significant than the demand-side shocks.

• Journal of Information Technology Applications and Management
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• 제11권2호
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• pp.167-178
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• 2004

Different from traditional development methodologies like waterfall model, the CBD (component based development) methodology relies on a building block approach in the design and development of information system. The audit procedure and checklist for the traditional IS development methodology are required to be modified to be suitable for CBD. This research reviewed IS audit guidelines for the existing development process and analyzed multiple projects that employed the by component based development process. For the purpose of this study, we chose a governmental project and a next-generation IS project of a financial agency as sample cases. By comparing existing IS audit checklists and items actually reviewed in audit projects, this study identified appropriate check items for the CBD-centric audit program. New items were proposed as additional items such as project control in management phase, usage case and conceptual model establishment, component evaluation and design, in implementation phase, and so forth. The result of the research provides new guidelines for the audit CBD projects for the purposed of increased efficiency and qualify of application development projects.

• 재무관리연구
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• 제26권3호
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• pp.139-169
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• 2009

본 연구는 새로운 VaR 추정모형으로 수정 VaR(modified VaR)을 소개하고, 수정 VaR의 예측성과를 역사적 시뮬레이션 모형이나 Riskmetrics 등 전통적인 모형들과 비교하였다. 수정 VaR은 분산뿐만 아니라 왜도, 첨도를 VaR 계산에 고려함으로써 금융자산분포의 비대칭성과 꼬리가 굵은 성질이 위험측정치에 반영될 수 있는 장점이 있다. 수정 VaR은 6개국의 주가지수 수익률을 이용한 표본외 예측성과검증에서 다른 모형들에 비해 가장 우수한 예측성과를 보였다. VaR 예측의 독립성검증에서는 Riskmetrics와 GARCH 모형이 우수한 것으로 나타났으나 수정 VaR에 대해 서도 독립성이 기각되지 않았다. 특정한 표본을 이용한 예측성과분석에서 나타날 수 있는 data snooping 문제를 해결하기 위해 skew t 분포를 이용한 시뮬레이션분석을 시도하였는데, 시뮬레이션 검증결과에서도 수정 VaR이 가장 양호한 예측성과를 보였다. 포트폴리오 VaR에 대한 표본외 예측성과에서도 수정 VaR은 단일변량모형이나 다변량 정규분포모형에 비해 우수한 성과를 보였다. 다변량 수정 VaR은 포트폴리오 구성자산 간의 선형상관관계뿐 아니라 공왜도(coskewness)와 공첨도(cokurtosis)를 통한 비선형 상호의존관계도 고려할 수 있다는 점에서 포트폴리오 위험에 대한 우수한 예측성과는 당연한 결과라고 할 수 있다. 6개국 주가지수로 구성된 포트폴리오의 VaR을 component VaR로 분할한 실증분석에서는 포트폴리오 VaR의 분할결과가 적극적인 위험관리와 포트폴리오 최적화를 위한 자산재배분에 효과적으로 활용될 수 있음을 확인하였다.

• 한국지능시스템학회논문지
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• 제25권2호
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• pp.191-196
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• 2015

최근 기업의 실적 및 주가를 예측하기 위해 매출액증가율, 부채비율 등의 다양한 예측변수를 활용하여 정량적인 예측방법을 활용하는 연구가 많이 이루어지고 있다. 기업실적 및 주가를 정량적 예측하기 위해 수많은 예측변수들 중에서 모델구축을 위해 중요한 예측변수를 선정하는 것이 중요하다. 대부분의 기존연구들에서는 다양한 알고리즘을 활용하여 예측변수들을 제거하는 방법을 사용하는 경우가 많았다. 이러한 경우 각 예측변수들이 가지는 많은 정보들이 제거되는 문제점이 존재한다. 이러한 문제점을 해결하기 위해 본 연구에서는 예측모델 구축을 위해 예측변수들을 제거하는 대신 각 변수들이 가지고 있는 정보를 병합하여 새로운 변수를 생성하는 대표적인 차원축소 방법인 주성분분석(PCA)을 활용하였다. 본 연구에서는 제안된 예측모델을 미국의 전자, 전기기업의 재무정보를 활용하여 구축하고 예측성능을 실증적으로 분석해 보았다.

• 응용통계연구
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• 제22권3호
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• pp.499-513
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• 2009

An economic signal in the real world usually reflects complex phenomena. One may have difficulty both extracting and interpreting information embedded in such a signal. A natural way to reduce complexity is to decompose the original signal into several simple components, and then analyze each component. Spectral analysis (Priestley, 1981) provides a tool to analyze such signals under the assumption that the time series is stationary. However when the signal is subject to non-stationary and nonlinear characteristics such as amplitude and frequency modulation along time scale, spectral analysis is not suitable. Huang et al. (1998b, 1999) proposed a data-adaptive decomposition method called empirical mode decomposition and then applied Hilbert spectral analysis to decomposed signals called intrinsic mode function. Huang et al. (1998b, 1999) named this two step procedure the Hilbert-Huang transform(HHT). Because of its robustness in the presence of nonlinearity and non-stationarity, HHT has been used in various fields. In this paper, we discuss the applications of the HHT and demonstrate its promising potential for non-stationary financial time series data provided through a Korean stock price index.

• World Technopolis Review
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• 제4권3호
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• pp.144-156
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• 2015

Globalization and knowledge-based economy have increased the importance of local areas as the units of global competition. Therefore, the meaning of localities has been emphasized as the core value of economic activities. In this context, innovation cluster has been recognised and emphasized as effective policy measure for innovation. Therefore, most countries have been trying to develop innovation clusters with their expectation for a rapid growth of economy. Nevertheless, there have been minimal empirical researches on innovation cluster. Therefore, for suggesting implications that activation factors of innovation cluster are to have an effect on tenant's business activities, this study conducted a literature review for the theories of regional innovation system(RIS) and innovation cluster. As a result, the activation factors of innovation cluster were classified into institutional, physicals, and social factor. The case of Gyeonggi province's innovation cluster policy was examined for an empirical analysis. Data were analyzed using ordered logistic regression. The results were as follows:First, Institutional and Infra factors had a positive influence on firms' business activities in every empirical test, so they were the most important activation factors of innovation cluster. Second, regarding the interactive effects of financial support, the interactive effects between financial support and Infra factor had a positive influence on the firms' business activities, according to the result of the empirical test.

• The Journal of Asian Finance, Economics and Business
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• 제7권2호
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• pp.271-280
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• 2020

The study aims to provide some evidence of the effects of CSR practices on financial-based brand equity in Malaysia. Nowadays, many companies have embraced corporate social responsibility (CSR) practices because CSR is a vital component of the current competitive and complex business arena. It contributes greatly to social, environmental, and economic condition. With CSR practices, companies are able to achieve many benefits and there is evidence that CSR practices predict higher brand equity. However, little evidence has been produced concerning the effects of CSR practices on financial aspects of brand equity in developing countries such as Malaysia. Therefore, this paper aims to investigate the effects of CSR practices on financial based brand equity among Malaysia Top 100 brand. A CSR checklist instrument was used in the current study to examine the extent of CSR practiced. The results indicated that PLCs that were actively involved in CSR practices such as environmental, community, workplace and marketplace, found that this involvement enhanced their brand equity. The findings provide useful support and evidence for the management of PLCs in Malaysia, as well as companies in other developing countries, to engage more in CSR practices as a core element of their strategic and brand management.

• 한국품질경영학회:학술대회논문집
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• 한국품질경영학회 1998년도 The 12th Asia Quality Management Symposium* Total Quality Management for Restoring Competitiveness
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• pp.92-101
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• 1998

As service firms continue to seek unique sources of sustainable competitive advantage, service quality has been discussed as a potential alternative to traditional skills and sources. The information of customers is generally believed to be a key component in creating corporate responsiveness to customer requests. In order to develop and maintain long-term close relationships with customers, service firms need to build an effective and ongoing service qualify information system(SQIS). Service firms that formally collect customer-related information and internal service quality information were to be more responsive. Accordingly, the purpose of the present study is twofold. 1. How to get the information on the service quality. 2. How to build a SQIS. An analysis is conducted of SQIS into input, process and output staging. One of numerous examples from financial service-sector firms is given to show SQIS can be developed to improve service qualify. Implications and strategies for building an effective SQIS for financial service-sector firms are discussed, and directions for future research are indicated.