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      • 지방공기업 설립 타당성검토 제도와 개선방안의 제안

        김범석,박기경 한국지방공기업학회 2018 한국지방공기업학회보 학술대회 자료집 Vol.2018 No.2

        '스콜라' 이용 시 소속기관이 구독 중이 아닌 경우, 오후 4시부터 익일 오전 7시까지 원문보기가 가능합니다.

      • 리츠(REITs)와 주식시장의 상관관계에 대한 연구 : 코크렙 1호 CR리츠 & 교보-메리츠 CR리츠

        김범석 한국재무학회 2007 한국재무학회 학술대회 Vol.2007 No.05

        본고는 리츠주가와 종합주가지수간의 장기적 균형관계와 동적구조관계를 분석한다. 리츠는 부동 산에 투자하는 일종의 펀드로서 다른 상장주식과는 운용구조면에서 다르다. 하지만 구조조정용 부동 산에 투자하는 기업구조조정형 리츠(CR REIT)는 증권선물거래소에서 상장되어 있기 때문에 리츠주 가의 흐름이 주식시장의 흐름과 상관관계를 가질 것으로 예상된다. 분석결과 리츠주가와 종합주가지수, 건설업지수간에는 공적분 관계, 즉 장기적 균형관계가 존재하 지 않는 것으로 나타났다. 또한 VAR모형 결과 코크렙1호 CR리츠의주가는 과거의 코크렙1호주가, 종 합주가지수, 건설업지수에 의해 영향을 받는 것으로 나타났다. 교보-메리츠 CR리츠의 경우 과거의 교 보-메리츠의 주가수준에 의해 영향을 받지만 과거의 종합주가지수 그리고 건설업지수에 의해서는 영 향을 받지 않는 것으로 나타났다. 한편, 코크렙1호와 교보-메리츠 모두 종합주가지수는 리츠주가에 의해 영향을 받지 않는 것으로 나타났다. 또한 분산분해 결과에 의하면 종합주가지수의 분산은 종합주가지수에 의해 대부분 설명되고 건설 업지수는 종합주가지수에 의해 어느 정도 영향을 받는다고 할 수 있다. 그러나 코크렙1호과 교보-메 리츠 CR리츠는 종합주가지수나 건설업지수에 대해 영향력도 없고 영향을 받지도 않는 것으로 나타났다.

      • KCI등재

        The Relationship Between REITs and Financial Markets: Evidence from Korean CR-REITs

        김범석 한국부동산연구원 2009 부동산연구 Vol.19 No.2

        '스콜라' 이용 시 소속기관이 구독 중이 아닌 경우, 오후 4시부터 익일 오전 7시까지 원문보기가 가능합니다.

        This paper examines the relationship between Korean REITs and stock/bond markets. CR-REITs differ from ordinary trust structurein terms of limited operating period and its portfolio of assets. The CR-REITs should invest only in the specified real estates. The life span of CR-REITs is limited.This study tests whether CR-REITs – KOCREF I, REALTY, MERITZ, KOCREF III, and MACQUARIE - have similar characteristics to common stocks/bond or not, using the co-integration analysis and error correction model.The empirical tests show that, for the bivariate cointegration, there is no cointegrating vector between REITs and stock/bond marketsexcept for MERITZ-construction sector index. However, for the multivariate cointegration, at least more than one cointegrating vectors for each CR-REITs are found. The error correction models show that, for MERITZ, and KOCREF III, there is a long-term equilibrium relationship. For REALTY and MACQUARIE, however, there is not a long-term relationship. And in two of CR-REITs, a short-term lead/lag relationship with bond markets is found. The relationship between REITs and financial markets may depend on characteristics of REITs. In addition, the evidence found in this paper suggests that REITs provide a useful way to diversify portfolio.

      • KCI등재

        Analysis of the effects of main design parameters variation on the vibration characteristics of a vehicle sub-frame

        김범석,Maksym Spiryagin,김봉수,유홍희 대한기계학회 2009 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.23 No.4

        In the design process of an automobile part, several analysis methods are usually used to evaluate the performance of the part. However, most automobile design engineers do not directly use CAE ( computer aided engineering) tools since specific skills are required to obtain practical results. Moreover, CAE requires a huge amount of computation time and cost. To resolve these problems, a new design approach, termed first order analysis (FOA), has been proposed. In this paper, the FOA technique is employed to design a vehicle sub-frame. An equivalent model of the vehicle subframe which only consists of beam elements is proposed and the modal properties obtained with the model are compared to those obtained with a full scale finite element model. The effects of some parameter variations on the modal characteristics of the vehicle sub-frame are investigated by employing the FOA equivalent model.

      • KCI등재

        TRIUMPH Trial: One Small Step Could Become One Giant Leap for Precision Oncology in Head and Neck Cancer

        김범석,김혜련,윤환중 대한암학회 2019 Cancer Research and Treatment Vol.51 No.1

        Recent remarkable progress in the fields of cancer genomics, computational analysis and drug discovery have changed the whole paradigm in cancer research. So called precision oncology, defined as molecular profiling of tumors to identify druggable alterations, is rapidly developing and waiting for entering the mainstream of cancer research as well as practice [1]. In the era of precision oncology, traditional classification based on organ or pathology do not have clinical meaning anymore. Molecular subtype base on next-generation sequencing (NGS) will lead us to appropriate molecular targeted agents. Head and neck squamous cell carcinoma (HNSCC) is not a specific disease entity, but rather a broad category of diverse tumor types arising from various anatomic structures including oral cavity, oropharynx, hypopharynx, larynx and paranasal sinus. HNSCC is highly heterogeneous group of disease arises from the mucosal lining of the upper aerodigestive tract, demonstrates squamous differentiation, and involves older men with a long history of smoking. The prognosis by anatomic subsite quite differ. Human papilloma virus positive oropharyngeal cancer showed very good prognosis while oral cavity cancer had worst prognosis. In the era of NGS, HNSCC become more heterogeneous by mutational status [2-4]. Traditional design of clinical trials has faced big challenge for these heterogeneity and rarity. One solution is umbrella trial. In an umbrella trial, patients with specified cancer type are centrally screened and assigned to one of several molecularly defined subtrials where they receive matched targeted agents [5]. Some novel umbrella trials such as BATTLE trial [6] or MOSCATO trial [7] suggest that such a biomarker driven clinical trial can give appropriate benefit to the patients. To perform an umbrella trial, precise NGS based molecular phenotyping should be practical and working in the level of clinic. To date, there was surprisingly few study deals with the feasibility of molecular phenotyping for umbrella trial. We should answer the questions whether precision oncology is just a theory or whether it is realistically feasible. We should answer how we implement the precision oncology into the clinic and prove the patients’ benefit. In this issue of Cancer Research and Treatment, Lim et al. [8] reported the feasibility of targeted NGS to guide the treatment of HNSCC. The authors tested the feasibility from tissue sample process to analysis of NGS and mRNA expression at the practical level. Mutation profiles were similar with prior reports [2-4] and the authors found several targetable alterations such as PIK3CA, CDKN2A and CCND1. Based on this success, KCSG (Korean Cancer Study Group) Head and Neck Cancer and Esophageal Cancer Committee launched novel umbrella trial: Translational bIomarker Driven UMbrella Project for Head and Neck (TRIUMPH, NCT 03292250), which is the first umbrella trial for HNSCC in the world. TRIUMPH trial is for recurred/metastatic HNSCC, consisting of 5 targeted therapies including phosphoinositide 3-kinase inhibitor BYL719, pan-HER inhibitor poziotinib, fibroblast growth factor receptor inhibitor nintedanib, CDK4/6 inhibitor abemaciclib, andd immune checkpoint inhibitor durvalumab+/– tremelimumab. TRIUMPH trial is investigator-initiated trial, and Korean Cancer Study Group affiliated 37 institutes participate. We think TRIUMPH trial is one small step for head and neck cancer, but hope to be one giant leap for precision oncology in HNSCC.

      • KCI등재

        뉴스 빅데이터 분석을 통한 지방출자출연기관 동향에 관한 연구: 지방출자출연법 개정 시점을 중심으로

        김범석,하병규,김우섭 한국지방공기업학회 2021 한국지방공기업학회보 Vol.17 No.2

        In this study, news big data analysis was performed on local government-funded institutions operated in accordance with the Act on the Management of Local Government-funded Institutions, the Enforcement Decree of the same Act, and local government ordinances to identify trends of them, and suggest a way forward to create sound ecosystem of local public institutions. Specifically, we analyzes monthly trends and relevant words of news articles related to local government-funded organizations reported in regional and central newspapers by using Big Kinds, a news big data service provided by the Korea Press Foundation. As a result of analyzing news big data by dividing into six regions, in the case of the metropolitan area, relevant words related to working environment policies such as living wage and conversion to regular workers were observed, except for the names of local governments that were observed with high frequency in all regions. In the case of Gangwon area, relevant words related to hiring corruption and management evaluation were presented, and in the case of Chungcheong area, relevant words related to the operation of the funded institution in addition to the establishment of a new foundation were presented. In the Yeongnam region, reports related to recruitment following the resignation of the group head and relevant words related to innovation in local public institutions were observed. In the Honam region, it was possible to examine the reports related to the establishment of the institution, and relevant words related to the improvement of the institution's operation and responsible management. In the case of Jeju area, there were many negative keywords such as lax management of local government-funded institutions. On the other hand, in the case of the central paper, the proportion of regional news was low, indicating that the regional comprehensive paper reflected the specificity of the region. Based on these analysis results, this paper suggests the following implications for the creation of a healthy local public institution ecosystem. First, the employees working at the local government-funded institution need to have a high sense of responsibility. Second, the local government needs to take a cautious approach for the establishment of the local investment-funded institution and prepare detailed operating standards for them. Third, it is necessary to inspire the public's sense of ownership toward public institutions. 본 연구는 지방자치단체 출자출연 기관의 운영에 관한 법률 및 동법 시행령, 그리고 지방자치단체 조례에 따라 운영되고 있는 지방출자출연기관에 대한 뉴스 빅데이터분석을 수행하여 동향을 파악하고, 건전한 지방공공기관 생태계 조성을 위해 나아갈 길을 제안하고자 한다. 구체적으로 한국언론진흥재단에서 제공하는 뉴스 빅데이터 서비스인 빅카인즈(Big Kinds)를 활용하여 지역종합지 및 중앙지에 보도된 지방출자출연기관 관련 뉴스기사의 월별 트렌드 및 관련 연관어 분석을 수행한다. 전국을 6개 권역으로 나누어 뉴스 빅데이터를 분석한 결과, 모든 권역에서 높은 빈도로 관측된 지방자치단체명을 제외하면, 우선 수도권의 경우 생활임금, 정규직 전환 등 근로환경 정책과 관련한 연관어가 관찰되었다. 강원권의 경우 채용비리, 경영평가와 관련된 연관어가, 충청권의 경우 신규 재단 설립 관련 외에 출연기관 운영상의 문제와 관련한 연관어가 제시되었다. 영남권에서는 단체장 사퇴에 따른 인선 관련 보도와 지방공공기관 혁신과 관련된 연관어가 관측되었다. 호남권에서는 기관 설립과 관련된 보도, 기관의 운영 개선 및 책임경영 관련한 연관어를 살필 수 있었고, 제주권의 경우 출자출연기관의 방만경영 등 부정적 키워드가 다수 나타났다. 한편 중앙지의 경우 뉴스의 지역분야 비중이 낮아 지역종합지가 지역의 특수성을 잘 반영함을 보였다. 이러한 분석결과를 바탕으로 건전한 지방공공기관 생태계 조성을 위하여 첫째, 지방출자출연기관에서 근무하는 임직원들의 높은 책임의식 필요, 둘째, 지방정부의 지방출자출연기관 설립에 관한 신중한 접근과 운영 기준 마련 필요, 셋째, 공공기관에 대한 국민들의 주인의식 고취 필요 등을 시사점으로 제시한다.

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